Astronomers

**Become a part of our caring community and help us put health first**

Through the design and implementation of various types of research studies and the strategic interpretation of data, the mission of Humana Healthcare Research (HHR) is to produce high-quality, actionable evidence and rigorous, peer-reviewed research to improve health outcomes, guide Humana’s strategy, and advance the body of knowledge for the scientific community and society at large. HHR maintains external partnerships with healthcare industry, government, academia and others to produce research important to internal and external stakeholders.

The Health Services Research Team in HHR is seeking a Senior Research Scientist to join a team of multi-disciplinary research professionals passionate about combining and analyzing diverse types of primary and secondary data to extract new, actionable discoveries about our members and their health-related behaviors. Our team’s areas of focus include—but are not limited to—Medicare policy and payment; care delivery and quality; access to healthcare, and health equity. We’re looking for driven, innovative people who are interested in using their study design and analytical skills to help our members achieve lifelong well-being and help Humana make lasting, positive changes in the healthcare industry. A successful candidate will be familiar with healthcare policy, have experience conducting observational studies using administrative claims data, and have the interest and ability to contribute to all phases of research studies from conceptualization to dissemination

**Responsibilities:**

Humana is seeking a Senior Research Scientist. As part of the HHR team, you will work collaboratively to design and conduct health services and outcomes research studies:

+ Understand policy, business and clinical issues and map them into quantitative questions at the appropriate level of inquiry.

+ Identify scientifically valid study designs based on research questions and available data sources.

+ Contribute to study conceptualization, literature reviews and study protocol development.

+ Explore internal and external data sources to understand what metrics can be produced.

+ Work with complex healthcare databases to complete descriptive and inferential analyses, produce statistical output and interpret results.

+ Prepare and deliver presentations, abstracts, white papers and manuscripts to communicate study findings to a broad range of audiences.

**Use your skills to make an impact**

**Required Qualifications**

+ Master’s degree with quantitative research focus in health services research, health economics, quantitative social science or related field.

+ Familiarity with SAS.

+ Proficiency in at least one statistical coding language.

+ Experience conducting protocol based, collaborative research.

+ Experience working with large and dynamic real-world data sources, such as administrative claims databases or electronic health records, for observational studies.

+ Knowledge of various methodologies used in health services research such as multivariate regression, propensity score analysis, inverse probability treatment weighting, difference in difference, interrupted time series analysis, regression discontinuity designs, etc.

+ Ability to work independently and efficiently to manage multiple competing projects and initiatives.

+ Ability to create and document a research/analytical plan, complete in depth analysis, and interpret results.

+ Strong verbal and written communication with the ability to present analytical data and insights to a wide variety of audiences. ​

**Preferred Qualifications**

+ Master’s Degree or PhD with quantitative research focus in health services research, health economics, quantitative social science or related field.

+ Advanced knowledge of SAS.

+ Understanding of healthcare policy and managed care.

​

**Scheduled Weekly Hours**

40

**Pay Range**

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$93,000 - $128,000 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

**Description of Benefits**

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

**About us**

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

**Equal Opportunity Employer**

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or veteran status. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.

The future is what you make it.

We are seeking an experienced Senior Software Architect & Integration Scientist with expertise in real-time systems and speech processing to design and lead the development of software systems for speech anonymization. You will be responsible for the overall software architecture, ensuring the system meets performance, scalability, and real-time requirements.

You will be on a R&D team that works with engineers, researchers, and product managers across Honeywell to design and evaluate state-of-the-art product concepts. While this opening emphasizes speech technology skills, future R&D efforts may require translating skills to other technology areas (e.g., biosensing, augmented reality / virtual reality / near-to-eye, aircraft flight deck automation).

Are you ready to make the future with us?

When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future.

BENEFITS:

Benefits provided may differ by role and location. Learn more at benefits.honeywell.com.

• Unlimited Vacation Plan with No Preset Maximums

• Flexible Hybrid Work Schedule

• Medical/Rx Health Savings Account (HSA)

• Dental/Vision

• Short/Long-Term Disability

• Employee Assistance Program (EAP)

• 401(k) Plan

• Education Assistance

KEY RESPONSIBILITIES:

• Design the architecture for a real-time speech processing system capable of handling high loads of streaming audio data.

• Develop software frameworks for speech processing, leveraging multi-core processors, threading, lookup tables and parallel computing to ensure real-time performance.

• Lead the implementation of automated build creation, continuous integration, and testing pipelines.

• Integrate various modules (speech modification, trait anonymization) into a single, cohesive system.

• Ensure cross-platform compatibility (Linux, iOS) and optimal performance on CPU and GPU.

• Lead the DevOps/MLops practices to automate testing and deployment for AI/ML models.

• Responsible for ensuring research products are functional, integrated and enforcing software coding best practices (e.g., inline comments, documentation) across the team.

• Establish version control, continuous integration (CI/CD), and maintain modularity across different system components.

• Conceptualize and conduct applied research figuring out research developments best suited to solve open-ended problems.

• Submit patent applications and share technical knowledge.

RELOCATION PACKAGE: Generous relocation package is offered for candidates who reside 50+ miles from the designated location.

U.S. PERSON REQUIREMENTS:

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization

YOU MUST HAVE:

•Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics

•5+ years of experience in software architecture, integration, and real-time processing systems.

WE VALUE:

•Master’s or Ph.D. in Computer Science, Software Engineering, or related fields.

•Proven experience with containerization tools (e.g., Docker) and automated build pipelines, and REST API.

•Proven experience in software architecture design for real-time applications and high-performance systems.

•Expertise in parallel computing, multi-core processing, threading, and distributed systems.

•Proficient in designing software of DevOps/MLOps practices, including CI/CD pipelines, containerization (Docker), and version control (Git). systems for real-time streaming audio processing.

•Strong knowledge on network protocols and databases (SQLite, MySQL, PostgreSQL or NoSQL)

•Experience working with cloud-based ML platforms.

•Experience in GPU optimization, CUDA/cuDNN, and large-scale data processing for AI models.

•Ability to handle cross-platform software development (Linux, iOS).

•Strong coding skills in Python, C++, and experience working with AI/ML models (PyTorch, TensorFlow).

•History of academic publications on speech technology, or in related computer science area.

•Skills in proposal writing.

Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

**Overview**

PNNL's Earth System Science Division enables energy independence and national security through leadership in earth systems science, engineering, and decision analytics. Our work focuses on solving complex problems in the dynamic Earth system. Our interdisciplinary scientists steward a breadth of efforts that encompass research on plants to groundwater science and coastal zones, to storm prediction.

Our research focuses on understanding and mitigating operational risks at the interface of human and natural environments. This includes predicting the impacts of natural hazards and extreme climate events on Earth and human systems, along with the impacts of wildfire, flooding, sea level rise and storm surges. We focus on understanding and mitigating environmental contamination and increasing the resiliency, security and sustainability of water resources. We provide geointelligence through advanced sensing and data analytics to forecast complex system behaviors and operational performance to understand human-natural systems. This includes informed decision making and enhanced community resilience, advanced monitoring, and remote sensing of environmental systems for energy and national security. It also includes developing energy systems, including geothermal energy, sustainable oil and gas production, storage and utilization, along with carbon sequestration.

Driven by a “science-to-solutions” philosophy, we provide scientific leadership and technology to enhance national security, mitigate natural hazards and optimize disaster response. In the critical areas of energy, environment, intelligence, and defense, we deliver insights and decision support through the development of tools and solutions.

**Responsibilities**

The Earth Systems Science Division at the Pacific Northwest National Laboratory (PNNL) is currently seeking a Social Scientist 1 to join its Risk and Environmental Assessment (REA) Group.

The individual will work with a multidisciplinary team of subject matter experts to assist federal agencies with evaluating the environmental impacts of federal activities, especially those related to environmental justice, and support engagement opportunities for diverse stakeholder communities around climate- and energy-related federal projects to satisfy regulatory requirements. Through their work, the candidate will develop an internal and external network of collaborators and project partners and participate in professional societies at the regional and national level. The position requires that the candidate complies with PNNL policies regarding environmental health and safety, waste management, and protection of intellectual property.

**Qualifications**

Minimum Qualifications:

+ BS/BA or higher

Preferred Qualifications:

+ Demonstrated commitment to data quality and accuracy

+ Strong written and oral communication skills as evidenced by scientific publications and conference presentations

+ Be able to work independently and in a team setting

+ Additional necessary qualifications include:

+ Use of stakeholder engagement tools such as surveys

+ public commenting platforms/forums

+ Involvement in engagement opportunities for diverse stakeholder communities (e.g., meetings and webinars)

+ Strong written and presentation skills for diverse audiences

+ Excellent organizational skills

+ B.S. or B.A. in Environmental Policy, Environmental Justice, Anthropology, or related field

**Hazardous Working Conditions/Environment**

Not Applicable.

**Additional Information**

Not Applicable.

**Testing Designated Position**

Not a Testing Designated Position.

**About PNNL**

Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!

At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.

**Commitment to Excellence, Diversity, Equity, Inclusion, and Equal Employment Opportunity**

Our laboratory is committed to a diverse and inclusive work environment dedicated to solving critical challenges in fundamental sciences, national security, and energy resiliency. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. In support of this commitment, we encourage people of all racial/ethnic identities, women, veterans, and individuals with disabilities to apply for employment.

Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.

We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at [email protected] .

**Drug Free Workplace**

PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.

If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.

**HSPD-12 PIV Credential Requirement**

In accordance with Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, new employees are required to obtain and maintain a HSPD-12 Personal Identity Verification (PIV) Credential. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

**Mandatory Requirements**

Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.

**Rockstar Rewards**

Employees and their families are offered medical insurance, dental insurance, vision insurance, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, supplemental parental bonding leave**, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company funded pension plan* and may enroll in our 401k savings plan. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.

* Research Associates excluded.

**Once eligibility requirements are met.

Click Here For Rockstar Rewards (https://careers.pnnl.gov/rockstar-rewards)

**Notice to Applicants**

PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the minimum of the pay range and actual placement in the range is determined based on an individual’s relevant job-related skills, qualifications, and experience. This approach is applicable to all positions, with the exception of positions governed by collective bargaining agreements and certain limited-term positions which have specific pay rules.

As part of our commitment to fair compensation practices, we do not ask for or consider current or past salaries in making compensation offers at hire. Instead, our compensation offers are determined by the specific requirements of the position, prevailing market trends, applicable collective bargaining agreements, pay equity for the position type, and individual qualifications and skills relevant to the performance of the position.

**Minimum Salary**

USD $68,000.00/Yr.

**Maximum Salary**

USD $97,900.00/Yr.

At Mad Science, we are having a blast! We pay you to have fun! Build and fly rockets, demonstrate lasers, explore the states of matter using dry ice, and help children create slime and other polymers. You will inspire the next generation of scientists through our innovative activities that show kids what science is really about.

Company Overview
Our mission is to inspire children through science, sparking lifelong imagination and curiosity. For over 30 years, we have delivered unique, hands-on science experiences for children through our after-school programs, birthday parties, workshops, special events, and summer camps. Our innovative programs are as entertaining as they are educational!

Job Summary
As a Mad Scientist, you will lead students through an inquiry-based discovery method involving instructor demonstrations, hands-on activities, and amazing take-home projects that will illustrate how science affects the world around us. Mad Science is the world’s leading provider of fun science programs for elementary-aged children.

Responsibilities
Facilitating a one-hour after-school science enrichment program using a pre-set, easy-to-understand curriculum.
Each session is high-energy. It’s part entertainment, part education, through a hands-on after-school class that meets for one hour each week for 4, 6, or 8 weeks.
Enjoy teaching children the fascinating wonders of science!

Qualifications
Experience working with children is an asset
A reliable car
Flexible working hours
Fun and outgoing personality!
Completes background check

We are excited to be named one of the World’s Best Workplaces by Fortune Magazine! We are proud to offer you 12 paid holidays annually. For an overview of our benefits and time off, please follow this link to learn more:US Stryker employee benefits. (https://d25zu39ynyitwy.cloudfront.net/oms/000000/document/2024/6/SMVZW\_USStrykerEmployeebenefits/USStrykerEmployeebenefits.pdf)

**Who We Want**

Data translators. Highly effective communicators who can transform data findings into recommendations to compose reports and executive level presentations.

Analytical problem solvers. People who go beyond just fixing to identify root causes, evaluate optimal solutions, and recommend comprehensive upgrades to prevent future issues.

Data managers. People who enjoy compiling, organizing and consolidating large volumes of data and reports.

**What You Will Do**

This position will be responsible for the maintenance and creation of various Power BI reporting solutions across the Sustainability Solutions business. You will be required to understand, document, test, and deploy reporting based on stakeholder requirements. You will work with data engineers to create and modify the underlying data models which support the front end of reporting. You will be responsible for the validation and auditing of our analytical tools. You are also expected to develop a strong understanding of business goals and objectives, and deploying solutions that develop significant value and clinical outcomes to internal and external customers.

**Essential duties & responsibilities:**

+ Work cooperatively with cross-functional stakeholders to understand their requirements and developing associated solutions in Power BI.

+ Maintain an accurate reporting library of solutions across the business and ensure data reflected in those solutions is accurate and meaningful.

+ Create elementary data engineering solutions and work closely with data engineers to document requirements and deploy more technical needs.

+ Understand the business relevance of data in various systems, including but not limited to SAP and JDE ERP.

+ Understand key relationships between data stored in multiple tables and/or systems.

+ Develop DAX code to implement Key Performance Indicators (KPIs) within reporting solutions across multiple business segments.

+ Identify actionable insights and suggest recommendations to influence the direction of the business.

+ Lead and deliver presentations that articulate data and reporting solutions to stakeholders.

+ Provide helpful insights in discussions on identifying opportunities in data analytics to enable business opportunities with key stakeholders.

**What You Will Need**

+ Bachelor's Degree in computer science, data analytics, mathematics, statistics, data science or a related field with applicable data analytics work experience is required

+ 2+ years of relevant work experience required.

+ Experience in SQL, Power Query, and DAX required.

+ Proficiency required in data transformation and cleansing.

+ Understanding of relational database and data modeling concepts.

+ Proficiency in data governance concepts required.

+ Ability to clearly articulate solutions and present data in a meaningful way to stakeholders.

+ Ability to work cross-functionally, build strong relationships, and be held accountable.

Health benefits include: Medical and prescription drug insurance, dental insurance, vision insurance, critical illness insurance, accident insurance, hospital indemnity insurance, personalized healthcare support, wellbeing program and tobacco cessation program. Financial benefits include: Health Savings Account (HSA), Flexible Spending Accounts (FSAs), 401(k) plan, Employee Stock Purchase Plan (ESPP), basic life and AD&D insurance, and short-term disability insurance. Stryker offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually. Depending on customer requirements employees and new hires in sales and field roles that require access to customer accounts as a function of the job may be required to obtain various vaccinations as an essential function of their role.

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability.

**Primary City/State:**

Phoenix, Arizona

**Department Name:**

Lab-BUMCP

**Work Shift:**

Night

**Job Category:**

Lab

4 Day Work Week!

This position will work four 10-hour shifts per week and the schedule varies from 8p-6:30a or 9p-7:30a.

**POSITION SUMMARY**

This position is responsible for a high level of technical knowledge and application of that knowledge to department testing, clinical relevance, and complex problem-solving skills. This position serves as a department resource and is responsible for assisting with department compliance with all pertinent laboratory accrediting agency and regulatory requirements (e.g., CLIA ’88, JCAHO, CAP, OSHA). May be responsible for the collection, receipt, and processing of biological specimens into the laboratory.

_Performs all functions according to established policies, procedures, regulatory and accreditation requirements, as well as applicable professional standards._

**MINIMUM QUALIFICATIONS**

+ Bachelor’s degree in medical laboratory science/medical technology, **OR**

+ Bachelor’s degree in chemical or biological science (transcripts may be reviewed to determine eligibility) AND certification (MLS or categorical).

+ Foreign educated candidates must provide a detailed credential evaluation from IERF (International Education Research Foundation) or other nationally recognized credentialing agency for review to determine eligibility.

+ For certain specialty disciplines ONLY (Toxicology, HLA, HCTT, etc.) where no certification is available from a certifying agency, a bachelor’s degree with one year of experience in that discipline is required.

+ Demonstrated competency in phlebotomy in departments where applicable.

**PREFERRED QUALIFICATIONS**

+ MLS/MT or categorical certification (ASCP, AMT, HEW, AAB).

+ Basic knowledge of specimen requirements and knowledge of medical terminology.

+ Previous experience with phlebotomy and processing.

+ Additional related education and/or experience

**EEO Statement:**

EEO/Female/Minority/Disability/Veterans (https://www.bannerhealth.com/careers/eeo)

Our organization supports a drug-free work environment.

**Privacy Policy:**

Privacy Policy (https://www.bannerhealth.com/about/legal-notices/privacy)

Banner Health is one of the largest, nonprofit health care systems in the country and the leading nonprofit provider of hospital services in all the communities we serve. Throughout our network of hospitals, primary care health centers, research centers, labs, physician practices and more, our skilled and compassionate professionals use the latest technology to make health care easier, so life can be better. The many locations, career opportunities, and benefits offered at Banner Health help to make the Banner Journey unique and fulfilling for every employee.

EOE/Female/Minority/Disability/Veterans

Banner Health supports a drug-free work environment.
https://www.bannerhealth.com/careers/eeo

**This Opportunity**

WSP is currently initiating a search for a **Lead Climate Scientist** to support our company’s growing Resilience Services Practice and our Climate, Resilience and Sustainability Team. This is a full-time position located in any of our 100+ offices in the United States with the possibility of remote work.

This new technical position is for a team member that will lead our analysis of climate and environmental data, lead research to support the determination of appropriate thresholds that define climate impacts on infrastructure and communities, and mentor staff. You will collaborate with other experts from our Resilience Services Practice, including other climate scientists, engineers, planners, economists, policy specialists, and risk modelers. Through this job posting, we are looking to expand our organization to meet our growing portfolio of clients, for whom we identify their risk to climate-related hazards (including socio-economic impacts), and develop resilience strategies and plans to reduce these risks.

**Your Impact**

+ Lead the development and application of technical workflows for analyzing environmental data, including downscaled climate model output, to develop climate projections for several different weather phenomena (e.g., precipitation, temperature, snow, etc.) and to assess current and future exposures.

+ Lead the research of appropriate climate stressor thresholds for climate impact assessments and examining environmental data for best-use purposes and appropriate applications.

+ As needed, support the quantitative analysis of exposure, vulnerability, risks, and resilience associated with long-term climate change considerations for a range of clients such as municipalities and infrastructure agencies.

+ Prepare documentation that succinctly summarizes methodologies and results for technical and lay audiences.

+ Participate on multiple projects and lead selected technical project tasks, delivering on project commitments through effective coordination with internal colleagues, external resources and agencies, and consulting team partners.

+ Contribute to a diverse team of experts working to advance the Resilience Services Practice through effective data-driven analysis and decision-making.

+ Support clients and participate in client meetings to understand and meet requirements for projects.

+ Represent WSP USA in the marketplace, contributing capabilities and experiences to other WSP offices.

+ Exercise responsible and ethical decision-making regarding company funds, resources and conduct, and adhere to WSP’s Code of Conduct and related policies and procedures.

+ Perform additional responsibilities as required by business needs.

**Who You Are**

Required Qualifications

+ Undergraduate or graduate degree in meteorology, atmospheric science, climate science, or a related field.

+ Minimum 7 years of relevant professional experience, including the analysis of downscaled climate model output and other environmental data, and informing hazard and impact analyses through climate data (note: relevant research or academic experience may count towards meeting the number of years of experience).

+ Advanced understanding of:

+ The physical processes causing climate change;

+ The IPCC CMIP5/CMIP6, the global climate models included therein (including their strengths and weaknesses), and climate scenarios;

+ Different climate model downscaling methodologies and datasets, including their strengths and weaknesses, and the ability to select contextually appropriate climate data on a project basis;

+ The use of statistics and probability theory in the context of climatology;

+ The uncertainties associated with climate modeling and application of bias-correction/calibration in models;

+ The virtues of a scenario-based approach to decision-making and the role of climate models in decision-making;

+ The relationships between climate change and sea level rise and how sea level rise projections vary given different climate scenarios; and

+ The state of climate science research.

+ Experience working with tools and/or coding scripts for effective data processing, analysis, and visualization.

+ Experience routinely working on coding projects (e.g., Python) and adapting scripts, notebooks, and programs written by colleagues, enhanced by a strong aptitude in standard programming practices.

+ Technical capabilities and leadership in project design and delivery.

+ Experience communicating orally and in writing technical analysis and results to non-technical audiences using data visualization and maps.

+ Attention to detail; commitment and skills to identify and detect errors; commitment to thorough quality reviews and checks; and commitment to accuracy, correctness, and excellence.

+ Ability to innovate on challenging topics to produce client-tailored products.

+ Experience working independently and on efforts requiring remote collaboration.

+ Proven track record of upholding workplace safety and ability to abide by WSP’s health, safety, drug/alcohol, and harassment policies.

**Preferred Qualifications:**

+ Further experience in climate science, such as:

+ Using baseline observation data of weather and climate to simulate future climate changes.

+ Developing probabilistic sub-24-hour precipitation projections (e.g., IDF curves).

+ Modeling urban heat island effects and projections of climate change influencing this phenomenon.

+ Experience designing and delivering trainings and/or instruction on climate science and climate projection applications.

+ Experience with high-performance computing (HPC) and parallel processing in cloud environments (e.g., AWS, Google Cloud, Azure).

+ Proficiency in version control systems (e.g., Git, GitHub) for managing code and collaborating on projects.

+ Experience working with hazard modeling approaches that use climate data as inputs (e.g., hydrologic modeling, flood and storm surge modeling, wildfire modeling).

+ Experience conducting climate-related vulnerability and risk assessments for different infrastructure sectors.

+ Project management, business development and partnership building experience.

WSP Benefits:

WSP provides a comprehensive suite of benefits focused on a providing health and financial stability throughout the employee’s career. These benefits include coverage related to medical, dental, vision, disability, and life; retirement savings; paid sick leave; paid vacation (or other personal time); paid parental leave; and paid time off for purposes of bereavement, voting, and/or attendance at naturalization proceedings.

Compensation:

Expected Salary (all locations): $107,000 - $169,290

WSP USA is providing the compensation range that the company in good faith believes it might pay and offer for this position, based on the successful applicant’s education, experience, knowledge, skills, abilities in addition to internal equity and specific geographic location. WSP USA reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s sex or other status protected by local, state, and/or federal law.

Expected Salary (Colorado only): $107,000 - $141,130

WSP USA is providing the compensation range that the company in good faith believes it might pay and/or offer for this position within the state of Colorado, based on the successful applicant’s education, experience, knowledge, skills, and abilities in addition to internal equity and specific geographic location. WSP USA reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s sex or other status protected by local, state, and/or federal law.

\#LI-MC2

**About WSP**

WSP USA is the U.S. operating company of WSP, one of the world's leading engineering and professional services firms. Dedicated to serving local communities, we are engineers, planners, technical experts, strategic advisors and construction management professionals. WSP USA designs lasting solutions in the buildings, transportation, energy, water and environment markets. With more than 15,000 employees in over 300 offices across the U.S., we partner with our clients to help communities prosper.
www.wsp.com

WSP provides a flexible and agile workplace model while meeting client needs. Employees are also afforded a comprehensive suite of benefits including medical, dental, vision, disability, life, and retirement savings focused on providing health and financial stability throughout the employee’s career.

At WSP, we want to give our employees the challenges they seek to grow their careers and knowledge base. Your daily contributions to your team will be essential in meeting client objectives, goals and challenges. Are you ready to get started?

WSP USA (and all of its U.S. companies) is an Equal Opportunity Employer Race/Age/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Disability or Protected Veteran Status.

The selected candidate must be authorized to work in the United States.

**NOTICE TO THIRD PARTY AGENCIES:**

WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation – no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service.

Sr. Data Scientist

**Values & Innovation**

At Under Armour, we are committed to empowering those who strive for more, and the company's values - Act Sustainably, Celebrate the Wins, Fight on Together, Love Athletes and Stand for Equality - serve as both a roadmap for our teams and the qualities expected of every teammate.

Our Values define and unite us, the beliefs that are the red thread that connects everyone at Under Armour. Our values are rallying cries, reminding us why we're here, and fueling everything we do.

Our pursuit of better begins with innovation and with our team's mission of being the best. With us, you get the freedom to go further - no matter your role. That means developing, delivering, and selling the state-of-the-art products and digital tools that make top performers even better.

If you are a current Under Armour teammate, apply to this position on theInternal Career Site Here. (https://performancemanager8.successfactors.com/sf/careers/jobsearch?bplte\_company=ua&\_s.crb=aNMP8gWoYkBDFn%252bz2BldysgcgQHZpVs6tHzE9smSuXE%253d)

**Purpose of Role**

We are looking for a Senior Data Scientist to join our Enterprise Data Management & Analytics organization. As a member of the enterprise data science team, you will work on machine learning solutions supporting all of Under Armour’s business units across the globe. You will be challenged to identify creative solutions to real world problems by leveraging cutting edge machine learning and statistical techniques, while striving to maintain rigorous scientific and engineering standards. You will collaborate with other data scientists, engineers, and business decision makers to develop the next generation of data driven products and initiatives at Under Armour.

**Your Impact**

+ Develop, maintain, and expand machine learning and AI solutions to support global price optimization and enterprise data management initiatives.

+ Leverage AWS cloud computing solutions to develop and deploy models at scale, adhering to internal best practices in data science and MLOps.

+ Propose novel statistical and machine learning methods to address key business challenges.

+ Become an expert in our internal price optimization modeling methodology -extracting and communicating insights and use cases to non-technical stakeholders and decision makers.

+ Stay up-to-date with emerging technologies and modeling techniques.

+ Work collaboratively to drive improvements through the lifecycle of each product to ensure the technical implementation appropriately aligns with business goals.

+ Identify opportunities for AI-driven innovation and collaborate with AI/ML scientists and stakeholders to research, design, develop, and evaluate cutting-edge generative AI algorithms to address business challenges.

+ Assist in building and enhancing AI capabilities and infrastructure within the organization.

+ Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in.

**Qualifications**

+ 5+ years of data querying languages, scripting languages or statistical/mathematical software experience OR Master’s degree with typically 3+ of relevant experience.

+ Proficiency with SQL and Python.

+ Practical work experience with one or more of the following: XGBoost, LightGBM, Prophet, supply chain optimization models, Bayesian statistics.

+ Ability to apply data science to real-world problems, capable of breaking down complex problems into key components solvable by machine learning solutions.

+ Knowledgeable of limitations and best practices related to model specification, comparison, selection, and deployment.

+ Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise

+ Prior experience working on an agile team preferred

+ Prior experience leveraging version control (e.g., Git, SVN) in a team setting preferred

BONUS QUALIFICATIONS:

+ Ability to help guide deep-dive sessions to ideate production path to solutions.

+ Writing skills to create and deliver tutorials, newsletters and presentations for technical, business, and executive stakeholders.

+ Experience experimenting with current Generative AI tools from a variety of models.

+ Prior experience with AWS services (e.g., Sagemaker, S3, ECR).

**Workplace Location**

+ **Location:** Fully Remote

+ **Return to Work Designation:** Fully Remote

+ **Travel:** 5% of the year

+ **Licenses/Certifications:** N/A

**Relocation**

+ No relocation provided

**Base Compensation**

$127,496.00 - $175,307.00 USD

Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual's relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package.

**Benefits & Perks**

+ Paid "UA Give Back" Volunteer Days: Work alongside your team to support initiatives in your local community

+ Under Armour Merchandise Discounts

+ Competitive 401(k) plan matching

+ Maternity and Parental Leave for eligible and FMLA-eligible teammates

+ Health & fitness benefits, discounts and resources- We offer teammates across the country programs to promote physical activity and overall well-being

**Our Commitment to Diversity**

At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Accommodation is available for applicants with disabilities upon request.

Requisition ID: 159765

Location:

Remote, US

Business Unit: Corporate

Employee Class: Full Time

Region: North America

Employment Type: Salaried

Learn more about our Benefits here

Principal Data Scientist I

Are you looking to develop your Data Scientist career?

Do you enjoy coaching others to achieve high standards?

Join us in shaping a more just world.

About Us:

LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.

About the Role:

As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies.

For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.

Responsibilities:

+ Leading the development of advanced AI and machine learning models to solve complex business problems

+ Working closely with other data scientists and engineers to design, develop, and deploy AI solutions

+ Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs

+ Analyzing large datasets to identify patterns and trends that can inform AI development

+ Communicating findings and insights to stakeholders in a clear and concise manner

+ Staying current with the latest AI and machine learning trends and technologies

+ Mentoring junior data scientists and provide guidance on AI and machine learning best practices

+ Driving best practices across our data science functions

+ Setting strategy and team direction, with a clear vision for Data Science

+ Working with product leaders to apply data science solutions.

+ Evaluating and creating new frameworks and defining methodologies and governance

+ Leading small- to medium-sized teams (direct or indirect)

+ Setting a high-bar for model development

Requirements:

+ Have substantial experience in a senior data scientist role

+ Have experience in leading complex projects and customer relationships

+ Have significant experience in managing larger Technical teams (direct or indirect)

+ Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues

+ Be a natural problem solver, able to take a lead in collaborating to resolve issues

+ Have excellent communication skills and the ability to convey information clearly to senior stakeholders

Highly Desired Skills and Experience:

+ PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

+ 10+ years of experience in AI and machine learning

+ Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests

+ Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.

+ Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.

+ Experience with reinforcement learning, prompt engineering, hallucination mitigation

+ Working understanding of the business risks associated with applying LLM in a business

+ Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)

+ Strong coding skills in Python or another programming language

+ Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders

+ Strong problem-solving skills and the ability to think outside the box

Work in a way that works for you:

We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees

Working with Us:

LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace.

Working for you:

We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:- Comprehensive, multi-carrier health plan benefits- Disability insurance- Dependent care and commuter spending accounts- Life and accident insurance- Retirement benefits (salary investment plan/employer stock purchase plan)- Modern family benefits, including adoption and surrogacy

About our Team:

LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful.

LexisNexis, a division of RELX, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

Please read our Candidate Privacy Policy (https://www.relx.com/careers/join-us/privacy) .

RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.

Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.

Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

Summary You will serve as an ENGINEER/SCIENTIST in the LIVE VIRTUAL CONSTRUCTIVE TRAINING DIVISION, RANGE SYSTEMS ENGINEERING DEPARTMENT of NAVAL SURFACE WARFARE CTR CORONA DIV. Responsibilities You will provide technical leadership and engineering support in the operations and maintenance of range systems including a focus on systems integration of equipment with classified and unclassified networks and range systems infrastructure. You will design, develop, implement, and integrate systems and system components for use within the training environment. You will lead engineering project teams on projects that impact the local range and the Navy Integrated Training Environment (NITE) Program. You will ensure field engineering projects comply with DoD policies and Cyber Security and network security processes and policies to maintain network security compliance. You will recommend changes to network architecture in concert with Information Systems Security Officer (ISSO) and Information Systems Security Manager (ISSM). You will develop and maintain project budget requirements, implementation timelines, and projections. You will monitor, evaluate, and report on local Operations and Maintenance contractor performance. Requirements Conditions of Employment Qualifications In addition to the Basic Requirements for this position, your resume must also demonstrate at least one year of specialized experience at or equivalent to the ND-03 (GS-09/11 equivalent) pay band in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following: as a professional Engineer or Scientist analyzing network and systems engineering project requirements and risks to design and develop systems, manage project resources, and resolve technical issues for an organization. Additional qualification information can be found from the following Office of Personnel Management website: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=List-by-Occupational-Series 0801 series: Engineering Series 0801 1310 series: Physics Series 1310 1520 series: Mathematics Series 1520 1550 series: Computer Science Series 1550 1560 series: Data Science Series 1560 Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. Education Applicants must meet the following positive education qualifications requirements of the Office of Personnel Management (OPM) Qualifications Standards Manual: Applicants must possess For the 0801 Engineering Series: Successful completion of a bachelor's degree (or higher) in engineering. To be acceptable, the program must: (1) lead to a bachelor's degree (or higher) in a school of engineering with at least one program accredited by the Accreditation Board for Engineering and Technology (ABET); or (2) include differential and integral calculus and courses (more advanced than first-year physics and chemistry) in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics. Such education must demonstrate the knowledge, skills, and abilities necessary to do the work of the position; or Successful completion of a combination of college-level education, training, and/or technical experience that furnished (1) a thorough knowledge of the physical and mathematical sciences underlying engineering, and (2) a good understanding, both theoretical and practical, of the engineering sciences and techniques and their applications to one of the branches of engineering. The adequacy of such background must be demonstrated by one of the following: (I) Professional registration or licensure: Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a Professional Engineer (PE) by any State, the District of Columbia, Guam, or Puerto Rico. Absent other means of qualifying under this standard, those applicants who achieved such registration by means other than written test (e.g., State grandfather or eminence provisions) are eligible only for positions that are within or closely related to the specialty field of their registration; or (II) Written Test: Evidence of having successfully passed the Fundamentals of Engineering (FE) examination or any other written test required for professional registration by an engineering licensure board in the various States, the District of Columbia, Guam, and Puerto Rico; or (III) Specified academic courses: Successful completion of at least 60 semester hours of courses in the physical, mathematical, and engineering sciences and in engineering that included the courses specified in the basic requirements under paragraph A (above). The courses must be fully acceptable toward meeting the requirements of an engineering program as described in paragraph A (above); or (IV) Related curriculum: Successful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a bachelor's degree in engineering, provided the applicant has had at least one year of professional engineering experience acquired under professional engineering supervision and guidance. Ordinarily, there should be either an established plan of intensive training to develop professional engineering competence, or several years of prior professional engineering-type experience, e.g., in interdisciplinary positions. For the 1310 Series: A bachelor's degree or higher in physics, or a related degree that included at least 24 semester hours in physics. Courses must have included a fundamental course in general physics and, in addition, course in any of two of the following: electricity and magnetism, heat, light, mechanics, modern physics, and sound. A combination of education and experience with courses equivalent to a major in physics totaling at least 24 semester hours, plus appropriate experience or additional education. Courses must have included a fundamental course in general physics and, in addition, course in any of two of the following: electricity and magnetism, heat, light, mechanics, modern physics, and sound. For the 1520 Series: A degree in mathematics; or the equivalent of a major that included at least 24 semester hours in mathematics; or A combination of education and experience -- courses equivalent to a major in mathematics (including at least 24 semester hours in mathematics), as shown above, plus appropriate experience or additional education. For the 1550 Series: Successful completion of a bachelor's degree in computer science; or Successful completion of a bachelor's or higher degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of my 30 semester hours were in a combination of statistics and mathematics that included differential and integral calculus. For the 1560 Series: Successful completion of a bachelor's degree in mathematics, statistics, computer science, data science, or a field directly related to the position; or Successful completion of a combination of education and experience, where the courses are equivalent to a major field of study (30 semester hours) in mathematics, statistics, computer science, data science, or a field directly related to the position, plus additional education or appropriate experience that equates to one year of experience. The percentage of the required education plus the percentage of the required experience equal one hundred percent. Additional Information This position is covered by the Department of Defense Priority Placement Program. This position is part of the Warfare Centers Personnel Demonstration Project. The ND-04 pay band encompasses positions equivalent to GS-12 and GS-13. Additional vacancies may be filled by this announcement. A tentative offer of employment will be rescinded if the selectee fails to meet the pre-employment requirements, including failure to report to any of the scheduled appointments. During the application process you will have the option to opt-in to make your resume available to hiring managers in the agency who have similar positions. Opting in does not impact your application for this announcement, nor does it guarantee further consideration for additional positions. Federal annuitant information: The selection of an annuitant is subject to the Department of Defense and Department of the Navy policy on the employment of annuitants. Policy information may be found at: http://www.secnav.navy.mil/donhr/Documents/CivilianJobs/FedCivAnnuitants.pdf ICTAP Applicants: To be considered well-qualified and exercise selection priority as an ICTAP candidate, displaced Federal employees must satisfy all qualification requirements for the position and receive a rating in the highly qualified category (score 85) or higher. ICTAP candidates must provide copies of all of the following documentation at the time of application: 1) agency notice; 2) most recent performance appraisal; and 3) most recent SF-50 or notification of personnel action that includes position, grade level, and duty location. Applicants who do not provide this documentation will not receive consideration as an ICTAP candidate. For more information about ICTAP eligibility please review the following link: https://www.usajobs.gov/Help/working-in-government/unique-hiring-paths/federal-employees/career-transition/ Military Spouse Preference applicants will be placed at the highest grade for which they have applied and are determined Best Qualified (BQ). A BQ military spouse possesses knowledge, skills, abilities, and competencies comparable to others who meet the competitive referral criteria for the specific posit PPP applicants will be placed at the FPL, if determined Well Qualified (WQ). To receive priority consideration, the FPL must be the same grade level or equivalent of the retained grade or the grade held immediately prior to separation. A relocation incentive is generally a single payment intended to offset some of the relocation costs experienced by the selectee. A relocation incentive may be authorized. Certain incentives (such as Recruitment, Relocation or Student Loan Repayment) may be authorized to eligible selectees. This position is subject to work an uncommon tour, including nights, weekends, and holidays to meet mission requirements. Overtime or night differential pay and/or unusual duty hours may be required.