Biochemists and Biophysicists

**Primary City/State:**

Tucson, Arizona

**Department Name:**

Lab-BUMCT

**Work Shift:**

Day

**Job Category:**

Lab

**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._

**CORE FUNCTIONS**

1. Performs testing in an accurate and timely manner according to established policies and performance standards with a knowledge level determined for that testing. Responsible for startup, calibration and accuracy of procedures and instrumentation. Actively participates in problem solving activities within the department, using advanced level of decision-making skills. Demonstrates advanced knowledge and application of all computer systems used in the department. Demonstrates advanced knowledge and application of theory and clinical relevance testing. Assists in ensuring compliance with accrediting agencies and regulatory requirements. Demonstrates ability to assume lead responsibility in absence of on-site departmental leadership personnel.

2. Recognizes, ensures validity, and assists in monitoring abnormal patient and/or QC results of testing. Ensures accuracy of test results. Participates in detecting and documenting occurrences that deviate from defined procedures. Recognizes need and participates in department and LSA/SQL System process improvement and quality assurance activities, including assisting with monitoring of department indicators of productivity and quality.

3. Monitors and controls inventory and assists in providing financial data for the department. Active participation on process improvements in financial performance to decrease costs, improve productivity and improve service.

4. Participates in contributions to additional department/System projects. Active in training of department employees. Actively participates on at least one committee or team or is involved in at least one special project identified with department management. Exhibits awareness of medical/legal consequences of professional actions. May assist in new employee orientation, training and competency. Provides input for competency and annual assessments for employees in appropriate time frames. Completes training module for newly hired/transferred personnel. Note: Unless the employee meets the minimum qualifications defined by CAP for a technical consultant, the employee may not oversee competency assessment.

5. Acts as a department resource by participating in providing educational information to internal and external customers. Demonstrated advanced level of effective verbal and written communication skills. Attendance and participation at staff meetings. Demonstrates preceptor and coaching skills and promotes a constructive environment that encourages learning and development.

6. May process and/or prepare patient samples as required to include the following: 1) specimen collection 2) general laboratory specimen processing and 3) referral laboratory processing. In doing so, ensuring correct patient and specimen identification and specimen integrity.

**SUPERVISORY RESPONSIBILITIES**

**DIRECTLY REPORTING**

None

**MATRIX OR INDIRECT REPORTING**

Medical Lab Technicians (MLTs), Clinical Lab Assistants, Phlebotomists

**TYPE OF SUPERVISORY RESPONSIBILITIES**

N/A

**SCOPE AND COMPLEXITY**

Department and LSA/SQL System. Internal Customers: Employees of the system, physicians, nursing. External Customer - Nurses, physicians, office personnel, vendors, service reps etc. Involved in interdepartmental communication and activities.

**PHYSICAL DEMANDS/ENVIRONMENT FACTORS**

Able to stand, walk, bend, squat, reach, and stretch frequently. Use material handling equipment to push/and or pull up to 75 pounds and required to lift, push and/or pull up to 25 pounds. Requires manual dexterity. Must use standard precautions due to threat of exposure to blood and body fluids, chemical, electrical and biological hazards. Ability to distinguish colors and to take direction and assimilate instructions quickly. Requires use of personal computer, printers, copiers, telephone, fax and department specific equipment.

**KNOWLEDGE, SKILLS AND ABILITIES**

+ Must exhibit personal maturity and responsibility.

+ Excellent reading, writing and math abilities.

+ Communicates effectively in oral and written formats sufficient to demonstrate comprehension.

+ Ability to perform detailed work; work with frequent interruptions, multi-task, problem solve and memorization.

+ Ability to take direction and assimilate instructions quickly.

+ Detail oriented and exceptional organizational skills.

+ Basic computer skills.

+ Must exhibit skills in exceptional customer service, good performance review and passing on-site competency evaluation and /or assessment as defined by the department.

**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

**DATE APPROVED** 05/26/2024

**EEO Statement:**

EEO/Disabled/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

**Why Mayo Clinic**

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans (https://jobs.mayoclinic.org/benefits/) – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

**Benefits Highlights**

+ Medical: Multiple plan options.

+ Dental: Delta Dental or reimbursement account for flexible coverage.

+ Vision: Affordable plan with national network.

+ Pre-Tax Savings: HSA and FSAs for eligible expenses.

+ Retirement: Competitive retirement package to secure your future.

**Responsibilities**

Performs various support functions in research laboratory using proper procedures to avoid the risk of laboratory-acquired infection or sample-to-sample contamination. Maintains and cleans equipment and the facility; maintains and restocks supplies; and maintains computer database. Works under direct supervision. Attention to detail is essential while dealing with multiple tasks. Flexibility is important in adjusting to frequent changes in work volume.

***This is a one-year temporary position.**

***Visa sponsorship is not available for this position. This position is not eligible for F-1 OPT STEM extension.**

**Qualifications**

Requires a high school diploma with coursework in mathematics and relevant sciences. Must have previous work experience that demonstrates organizational skills, attention to detail, and ability to multi-task. Experience with Excel software is preferred. Requires manual dexterity, accurate typing, and good communication skills. Must be able to prioritize and adjust to changes in work volume.

**Exemption Status**

Nonexempt

**Compensation Detail**

$20.00 - $23.46 / hr

Education, experience and tenure may be considered along with internal equity when job offers are extended.

**Benefits Eligible**

No

**Schedule**

Full Time

**Hours/Pay Period**

80

**Schedule Details**

Monday - Friday (8:00am - 5:00pm)

**Weekend Schedule**

No weekends.

**International Assignment**

No

**Site Description**

Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. (https://jobs.mayoclinic.org/alllocations)

**Equal Opportunity**

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law" (https://www.eeoc.gov/poster) . Mayo Clinic participates in E-Verify (https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf) and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

**Recruiter**

Matt Burdick

**Equal opportunity**

As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.

The Process Engineer Technician in the Process Engineering Group supports a team of engineers in the execution and improvement of propellant, pyrotechnic, and explosive manufacturing at the Mesa, Arizona facility. This position will provide technical and mechanical support for new, continuing, and engineering production efforts. In addition, the technician monitors processes/KPIs, trains manufacturing operators, authors/updates/redlines process documentation, and ensures work instruction implementation as directed by engineering.

How you will be rewarded as our Process Engineering Technician:

+ Competitive compensation

+ Monday-Thursday work week working four 10-hour days (off on Fridays)

+ Generous paid time off and Holiday Pay

+ Medical, Dental and Vision Insurance

+ 401(K), employee assistance programs, health savings account

KEY RESPONSIBILITIES:

• Apply basic engineering level principles to safely process propellants, pyrotechnics, and/or explosives for product development or improvement to meet program requirements.

• Assist in the development of new tooling, processes, and techniques.

• Prepare technical reports detailing work progression and results.

• Ability to troubleshoot and assess risks.

• Provide training to operators.

• Review results of experiments and analyses performed by either engineering or operators.

• Collaborate with operators, quality, and engineering teams to sustain and improve current processes.

• Follow standard practices and safety procedures.

• Collect data and ensure its accuracy.

• Coordinate and schedule support work for other departments.

• Wear safety equipment such as protective eyewear, coveralls, conductive footwear, respirators, or self-contained breathing apparatus.

• Occasionally exert up to 50 lbs. of force in the course of normal work.

• Additional duties as required.

• Follow standard practices and safety procedures.

• Strictly adhere to all safety policies and procedures to ensure a safe working environment.

COOPERATION:

This role requires collaboration across internal teams and with external stakeholders.

LEVEL OF DECISION MAKING:

This position requires daily autonomous decision-making capabilities when working with both internal and external customers.

SKILLS & QUALIFICATIONS:

• Associate degree in a technical field or High School/General Education Diploma (GED) with hands-on work experience

• Minimum 0 years of experience with propellants, pyrotechnics, and/or explosives

• Proficient operator of larger and handheld equipment (pumps, forklift, mixers, hydraulics, feeder/extruders, compressors, particle size analyzer, ovens, drill press, etc.)

• Hands on experience with program/project work in applied R&D and/or production support

• Ability to obtain approval through ATF to handle Nammo Defense Systems’ products and information.

• Basic understanding of mechanical and electrical systems and interpreting their drawings

• Proficient in using basic hand tools and familiarity with precision measurement tools

• Safe operation of powered tools and equipment

• Ability to perform basic assembly and disassembly of components

• Conduct simple functional tests and inspections

• Recognize and escalate abnormal conditions, defects, or test results

• Follow written work instructions and procedures accurately

• Accurately record test data and observations

• Communicate findings clearly to engineering or supervisory staff

• Basic computer literacy (email, Excel, Word, simple data entry)

• Adherence to all safety policies and procedures

• Good housekeeping in work areas

• Ability to learn and take direction

• Dependable and punctual work ethic

• Ability to work effectively with the cross-functional NDS Mesa Team

**Must be able to obtain BATF approval

DESIRED SKILLS:

• General understanding of chemical science (overlapping polymers, analytical measurements, and physical properties)

• A working knowledge of energetic material regulations and safe handling/measurement

• Minimum 2 years of experience in manufacturing/laboratory environment (chemical industry preferred)

COMPETENCIES:

• Excellent communication and collaboration skills.

• Strong problem-solving and critical-thinking abilities.

• Ability to work in fast-paced environments.

• Leadership or teamwork abilities.

WORKING CONDITIONS:

• Full-time on-site position

• This position may require working in diverse settings and conditions.

**Note**: Due to US Export Control laws and regulations; applicants selected for employment must show proof of a U.S. Person status before employment may begin.

**About Lumen**

Lumen connects the world. We are igniting business growth by connecting people, data and applications – quickly, securely, and effortlessly. Together, we are building a culture and company from the people up – committed to teamwork, trust and transparency. People power progress.

We’re looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.

**The Role**

The Lead Data Scientist is responsible for developing tools to collect, clean, analyze and manage the data used by strategic areas of the business. Employ techniques and theories drawn from mathematics, statistics, from the subdomains of machine learning, classification, cluster analysis, and data mining.

**The Main Responsibilities**

+ Clearly communicate methods and conclusions with simple language and innovative visualizations to management and executives.

+ Work effectively on a team as well as a self-driven individual to do research and develop cutting edge and effective solutions for the business.

+ Provide expertise in analyzing and visualizing large, complex, and unique data sets.

+ Create new insights that will drive business growth and profitability in the short and long term.

+ Deploy analytics code with a continuous integration environment incorporating version control, build servers, and test servers.

+ Design and implement programs and automation to collect, mash up, process and analyze distributed real-world data.

+ Collaborate with cross-functional teams to understand complex business problems, build statistical models, and create predictive tools.

+ **Management of analytical projects and assistance in program planning as well as the acquisition, retention and development of data science talent**

**What We Look For in a Candidate**

+ 8+ years related experience.

+ Degree(s) in Computer Science, Math, Physics, Economics, Operations Research, Statistics or related discipline

+ Experience with relational and non-relational databases.

+ Strong experience with tools for managing, analyzing, and visualizing large datasets.

+ Programming experience with two or more of R, Python, Lisp, Clojure, Scala, Java, Perl, Mathematica and C++.

+ Past success in extracurricular math/science activities or competitions is highly regarded.

+ Creativity and persistence in locating, extracting and analyzing all relevant data.

+ Problem solving versatility: making the best decisions possible given the data quality and time available.

+ Strong analytical thinking and ability to quickly pick up new methods, tools and programming languages.

**Preferred:**

+ Expertise w/ GIT, agile project management tools (Trello, JIRA, Rally, etc), documentation/markup expertise (Markdown, etc)

+ Strong verbal, written and visualization communication skills relaying data science findings, problems, etc to business users.

+ Good working knowledge of PL/T-SQL

+ Expertise w/ econometric and machine learning methods for predictive analytics

+ Prior expertise w/ price elasticity of demand modeling and mathematical optimization methods

+ Culture of curiosity and perseverance in the face of messy data and complex business, information systems landscape

+ **Significant experience with the SDLC, in particular as applied to automation of data science pipelines and development of analytic products**

+ **Prior experience coaching junior technical team members**

+ **Strong background with planning and management of data science projects as well as leading engagement of stakeholders and communication with non-technical SMEs and partners.**

+ **Experience with the wireline telecommunications industry, notably common product technologies and marketing thereof**

**Compensation**

This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.

Location Based Pay Ranges:

$103,711 - $138,281 in these states: AL, AR, AZ, FL, GA, IA, ID, IN, KS, KY, LA, ME, MO, MS, MT, ND, NE, NM, OH, OK, PA, SC, SD, TN, UT, VT, WI, WV, and WY.

$108,896 - $145,195 in these states: CO, HI, MI, MN, NC, NH, NV, OR, and RI.

$114,082 - $152,109 in these states: AK, CA, CT, DC, DE, IL, MA, MD, NJ, NY, TX, VA, and WA.

Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.

Learn more about Lumen's:

+ Benefits (https://jobs.lumen.com/global/en/benefits-statement)

+ Bonus Structure

\#LI-SJ1

Requisition #: 338830

**Background Screening**

If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page (https://jobs.lumen.com/global/en/faq) . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

**Equal Employment Opportunities**

We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

**Disclaimer**

The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.

**Application Deadline**

07/12/2025

**Overview**

We’re seeking a Staff Data Scientist to lead the development of a next-generation AI-native analytics platform that transforms how Intuit synthesizes insights from structured and unstructured data. This internal-facing platform is designed to power real-time decision-making across multiple business units by drastically accelerating time-to-insight, improving analytical consistency, and minimizing the manual burden of data synthesis.

This role calls for a deeply technical, strategic, and collaborative leader who thrives at the intersection of data science, backend engineering, and AI innovation. You will own the end-to-end design and implementation of this solution, which will ingest signals from a variety of data sources—transaction logs, clickstream data, operational systems, Slack, JIRA, and more—and convert them into digestible narratives, dashboards, and data products that power executive and operational decisions.

**What you'll bring**

Demonstrated ability to independently drive large-scale analytics or AI systems from conception to production.

Deep expertise in Python, SQL, and data tooling with ability to work across structured and semi/unstructured data.

Familiarity with microservices architecture, container orchestration (Kubernetes), and scalable infrastructure.

Advanced modeling skills in both traditional ML and Generative AI, particularly with open-source or custom LLMs.

Experience in web experimentation frameworks and statistical analysis methodologies.

Strong storytelling and executive influence capability through data.

**Nice-to-Have** :

Prior experience in cross-functional enterprise platforms or data products used by analysts, product managers, or operations teams.

Background in customer support analytics or diagnostic tooling across service platforms.

Experience deploying systems that interact with chat logs, documentation, or metrics across diverse internal tooling ecosystems.

Impact Scope

The analytics platform you build will:

Accelerate time-to-insight by over 95%, reducing multi-day data gathering and synthesis workflows to under 5 minutes.

Act as a force multiplier for analysts and data scientists, enabling scalable support across teams.

Support decision-making by automatically assembling narratives and dashboards from distributed data fragments—across BI tools, operational logs, conversational data, and mor

**How you will lead**

Lead End-to-End Data Science Projects

Architect and build an enterprise-grade analytics system capable of querying, interpreting, and narrating insights from large volumes of fragmented data sources.

Lead development from initial scoping and experimentation to deployment of a production-grade, Kubernetes-native microservice.

Drive AI-Native Solutions

Design solutions using LLM architectures, retrieval-augmented generation (RAG), and multi-agent orchestration frameworks.

Translate business needs into intelligent agents that can autonomously identify KPIs, root causes, anomalies, and trends across datasets.

Shape Experimentation & Causal Inference

Lead the development of advanced experimentation systems including A/B/n tests, bandits, and painted-door experiments.

Apply and guide the use of causal inference techniques (e.g., Propensity Score Matching, Difference-in-Differences, Synthetic Controls) to measure outcomes and inform decision-making.

Influence Strategic Decision-Making

Serve as a thought leader to define analytical workflows that minimize time-to-insight and maximize actionability across business segments.

Influence leaders across product, operations, and data teams using clearly synthesized, high-impact insights.

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

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

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

Growth Analytics & AI within Humana is dedicated to transforming members’ journeys and Humana’s services using technology and analytics. We are looking for a Senior Data Scientist who will utilize cutting-edge AI, NLP, GenAI techniques, build predictive modeling, test rigorous hypotheses, design studies, and turn data into actionable insights. Being part of a talented team of Data Scientists with broad skills and applications, the Senior Data Scientist will work cross-functionally and collaboratively with teams across the enterprise through innovative AI, machine learning, and R&D platforms. The scope of our work includes forecasting, predictive modeling, designing business experiments, and ROI studies. The ideal candidate will have hands-on experience with healthcare data, demonstrated innovative, and creative methods for overcoming testing constraints, as well as successfully applying AI, NLP, GenAI, and machine learning techniques to address business needs.

The Senior Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Senior Data Scientist’s work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

The Senior Data Scientist develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Exercises considerable latitude in determining objectives and approaches to assignments.

Use your skills to make an impact

This is a unique opportunity for a motivated individual to influence Humana’s vision to provide coordinated, integrated member journey via multiple innovative solutions. The Senior Data Scientist creates reports, projections, models, and presentations to support business strategy and tactics. This role influences department’s strategy, contributes to the decision making on complex issues regarding technical approach for project components, and works on model building use cases with minimal supervision. Exercises considerable latitude in determining objectives and approaches to assignments. As a Senior Data Scientist, you will:

+ Develop and validate machine learning and statistical models, predictions, reports, and presentations to support business strategy and tactics

+ Develop, maintain, and collect structured and unstructured data sets for analysis and reporting

+ Research and evaluate innovative analytical methodologies, approaches, and solutions

+ Collaborate with analytics and data teams to set objectives, approaches, and work plans

+ Interpret and communicate analytic results to analytical and non-analytical business partners

+ Understand department, segment, and organizational strategy and operating objectives, including their linkages to related areas

+ Compile and present regular and ad-hoc project status reports

+ Follow established guidelines/procedures

**Use your skills to make an impact**

**Required Qualifications**

+ Master’s Degree in a quantitative discipline, such as Computer Science, Data Science, Mathematics, Statistics, or related quantitative field

+ 3+ years of experience in advanced data analytics

+ Demonstrated experience in working with assignments that involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors with Python, R, SAS, similar statistical and scripting tools

+ Experience developing and validating machine learning and statistical forecasting models or predictive models, including Random Forest, Gradient Boosting, Neural Networks, cluster analysis, regression analysis, time series, and forecasting

+ Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting

+ Experience interpreting and communicating analytic results to analytical and non-analytical business partners

+ Ability to exercise independent judgment and decision making on moderately complex to complex issues regarding technical approach for project components

+ Naturally curious and comfortable with ambiguity and demonstrate critical thinking

+ Clear and concise verbal and written communication skills, with a proven ability to translate complex methodologies and analytical results to non-technical business insights

+ Strong interpersonal and consulting skills

**Preferred Qualifications**

+ PhD in a quantitative discipline, such as Computer Science, Data Science, Mathematics or Statistics and/or related quantitative field

+ Healthcare or managed care experience

+ Experience in Natural Language Processing (NLP)

+ Experience developing and tuning LLM applications, utilizing GPT, LLAMA, or other models

+ Experience in health economics, test & learn, and/or experiment design

+ Experience building large-scale predictive models

+ Experience building visualization and reports using Tableau or Power BI

+ Experience in Big Data environment specifically PySpark and/or Databricks

+ Experience in cloud computing, Azure or AWS

+ Experience in deep learning and recommendation

+ Experience in cost of care and trend analysis

+ Actuarial background or experience

**Work-At-Home Information**

To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:

+ At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.

+ Satellite, cellular and microwave connection can be used only if approved by leadership.

+ Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

+ Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.

+ Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

**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.

$117,600 - $161,700 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.

Application Deadline: 07-17-2025

**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 protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with 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.

**Location:**

Remote, United States

**Employment Type:**

FullTime

**Location Type:**

Remote

**Department**

Finance & Operations, Business Technology, Data, & Operations

**Compensation:**

$160.1K – $188.1K • Offers Equity

_At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here (https://confluentbenefits.com) _._

**Overview**

We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.

It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.

One Confluent. One Team. One Data Streaming Platform.

**About the Role:**

The mission of the Data Science team at Confluent is to serve as the central nervous system of‬ all things data for the company: we build analytics infrastructure, metrics, insights, and models.‬ Our outputs enable data-driven thinking and help optimize every part of the business. There are‬ limitless opportunities for an ambitious data scientist to make an immediate and meaningful‬ impact within a high-growth company.

As a Product Data Scientist at Confluent, you will be a key player in helping define the‬ experiences and driving product strategy at Confluent. You will collaborate with our Product ‭leadership team and cross-functional partners across the Data organization. You will use data‬ and analysis to identify and solve product development’s challenges, unlocking growth of our‬ product adoption funnel. This role requires a strong blend of technical skills, strategic thinking‬ and communication skills to influence product strategy and investment decisions.‬

**What You Will Do:**

+ Collaborate with product managers, product engineers, and other stakeholders to define and measure success metrics for product features and initiatives.

+ Develop and maintain dashboards, reports, and visualizations to communicate key metrics and insights to stakeholders.

+ Utilize data to uncover trends, identify opportunities for growth, drive strategic product decisions, and shape product roadmaps.

+ Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to improve product experience

+ Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining Product strategy

+ Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making

**What You Will Bring:**

+ Strong stakeholder management skills with the ability to influence and build relationships at all levels of the organization.

+ 3+ years of experience in Product Data Science/Analytics

+ Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders

+ Exceptional problem solving skills and analytical skills

+ Strong proficiency in data manipulation with data querying languages (e.g. SQL). Proficiency in scripting languages (e.g. Python) preferred.

+ Proficiency in data visualization and building dashboards with tools such as Tableau

+ Experience and familiarity with A/B testing and experiment best practices

+ Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc.

**What Gives You an Edge:**

+ Experience and knowledge of causal inference, machine learning and other advanced analytical methods

+ Experience in SaaS/Product-led Growth companies

**Ready to build what's next? Let’s get in motion.**

**Come As You Are**

Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.

We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

**Location:**

Remote, United States

**Employment Type:**

FullTime

**Location Type:**

Remote

**Department**

Finance & Operations, Business Technology, Data, & Operations

**Compensation:**

$62.00 – $71.00 per hour • Offers Equity

_At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here (https://confluentbenefits.com) _._

**Overview**

We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.

It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.

One Confluent. One Team. One Data Streaming Platform.

**About the Role:**

The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build analytics infrastructure, metrics, insights, and models. Our outputs enable data-driven thinking and help optimize every part of the business. There are exciting opportunities for an experienced data scientist to make a significant and visible impact within a high-growth company.

As an Associate Data Scientist, Marketing at Confluent, you will play a key role in analyzing lead funnel efficiency, evaluating marketing performance, and supporting pipeline management. You will partner closely with stakeholders across Marketing, Growth, Sales, and Finance to drive insight generation and strategic decision-making. This role blends hands-on analytical work with business context and cross-functional collaboration to ensure our go-to-market strategies are data-informed.

**What You Will Do:**

+ Explore marketing and sales data to identify opportunities for improving funnel conversion and pipeline generation.

+ Define and refine marketing metrics to measure success, and build scalable reporting to monitor pipeline health and performance drivers.

+ Translate well-defined business questions into analytics problems, select appropriate approaches, and communicate clear results to managers and business partners.

+ Apply deep dive analysis, predictive modeling, or experimentation to drive product & go-to-market (GTM).

+ Analyze customer journey phases—from awareness to conversion—leveraging metrics like ROI, CLTV, and CAC to uncover optimization opportunities.

+ Collaborate with other data scientists to share techniques, improve processes, and contribute to a data-driven culture across Confluent.

**What You Will Bring:**

+ 2+ years of experience in data science or advanced analytics, with at least 1–2 years supporting a marketing or go-to-market function—preferably in a B2B SaaS environment

+ Strong proficiency in SQL and intermediate Python / R skills.

+ Experience building and maintaining dashboards and data visualizations using tools like Tableau or similar platforms

+ Demonstrated ability to communicate insights effectively to both technical and non-technical audiences

+ Working knowledge of marketing attribution techniques and A/B testing methodologies

+ Strong problem-solving skills and attention to detail

+ Bachelor’s or Master’s degree in a quantitative field such as computer science, statistics, economics, or engineering

**What Gives You an Edge:**

+ Hands-on experience with marketing measurement and attribution across SEO, paid media, email, and other channels

+ Familiarity with Salesforce and the B2B marketing tech stack

+ Exposure to causal inference, customer segmentation, or predictive modeling techniques

+ Experience working in cross-functional pods with stakeholders across Sales, Finance, and Product

**Ready to build what's next? Let’s get in motion.**

**Come As You Are**

Belonging isn’t a perk here. It’s the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what’s possible.

We’re proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

**Job Summary**

As a Data Scientist with expertise in Azure Analysis Services and Python3 you will play a crucial role in designing and implementing innovative solutions for our Retail Banking projects. With a hybrid work model, you will collaborate with cross-functional teams to enhance our technological capabilities and drive business success. Your contributions will directly impact our company's growth and societal advancement.

**Responsibilities**

+ Lead the design and development of scalable solutions using Azure Analysis Services to meet business requirements.

+ Oversee the implementation of Python3 scripts to automate processes and improve system efficiency.

+ Collaborate with cross-functional teams to gather and analyze requirements for Retail Banking projects.

+ Provide technical guidance and mentorship to junior developers to foster a culture of continuous learning.

+ Ensure the integration of new technologies aligns with existing systems and business goals.

+ Conduct code reviews to maintain high-quality standards and ensure best practices are followed.

+ Develop and maintain documentation for system architecture and processes to support future development.

+ Troubleshoot and resolve complex technical issues to minimize downtime and enhance user experience.

+ Participate in agile development processes to ensure timely delivery of project milestones.

+ Communicate effectively with stakeholders to provide updates on project progress and challenges.

+ Utilize data analytics to identify opportunities for process improvement and innovation.

+ Contribute to the strategic planning of technology initiatives to support business growth.

+ Stay updated with industry trends and emerging technologies to drive continuous improvement.

**Qualifications**

+ Demonstrate proficiency in Azure Analysis Services and Python3 with a minimum of 7 years of experience.

+ Exhibit strong problem-solving skills and the ability to work collaboratively in a hybrid work environment.

+ Possess experience in Retail Banking domain which is considered a plus.

+ Show excellent communication skills to effectively interact with team members and stakeholders.

+ Display a proactive approach to learning and adapting to new technologies and methodologies.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

**Position Summary**

This Senior Data Scientist role on the finance analytics team will focus on building and deploying analytical models that help the PBM (Pharma Benefits Management) business meet its client and pharmacy guarantees. This team works on forecasting and optimization models to optimize drug level pricing tied to 95M Americans. The outcome of these models (recommended prices) have delivered over $200M value to Aetna and Caremark.

**Required Qualifications**

+ Master’s Degree with a minimum of 3 years of experience; or PhD with fellowship experience in:

+ Extracting actionable insights from the analysis and interpreting outcomes of complex models to present to business audiences including technical, non-technical, and senior leaders

+ Preparing data for analysis, working with data engineering team to create modeling dataset, assess completeness and quality of data, and perform feature engineering

+ Communicating effectively and confidently with business partners, project team members, and senior management

+ 3+ years of experience with Gurobi Optimization with a proven ability to develop and implement mathematical models using Gurobi for various optimization problem types (e.g., LP, MIP).

+ Demonstrated understanding of various optimization modeling including linear and non-linear optimization.

+ 2 or more years of experience using AI coding platforms including Copilot, Cursor AI.

+ Data preparation tools, data warehousing, and ETL Demonstrated knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources

+ Working with data and have a strong understanding of analytics and how it is leveraged within the healthcare/retail industry

+ 2+ years of experience applying modern machine learning techniques to build predictive models for both classification and regression problems

+ 2+ years in a client-facing role with experience creating detailed reports of modeling results for different stakeholders.

+ 2+ years’ experience with general linear models including regression techniques and optimization models

+ 3 or more years of experience in Python and SQL is a must.

+ 3 or more years of experience with GCP cloud computing software for cloud storage, machine learning, and networking including Google Kubernetes Engine, Cloud storage, Big Query, Vertex AI, and cloud load balancing.

+ Demonstrated proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas

**Preferred Qualifications**

+ Experience in Tableau development, including Tableau Desktop and Server.

+ Strong Ability to learn quickly and work independently or as part of a team

+ Strong ability to communicate technical concepts and implications to business partners

+ Ability to anticipate and prevent problems and roadblocks before they occur

+ Experience with statistical measurements including experimental design, test and control selection, performance reporting and tracking, etc.

+ Experience in deploying ML models to production and developing CI/CD pipelines

**Education**

Master’s Degree or PhD in Data Science, Computer Science, Applied Math, Operation Research, Statistics, Health Policy, or related field (Master’s in Computer Science or Computer Engineering preferred)

**Essential skills (** in addition to educational background):

Programming, Data Handling, Optimization Tools and Libraries, Business Intelligence Tools, Cloud Platforms, Communication, Problem-Solving.

**Anticipated Weekly Hours**

40

**Time Type**

Full time

**Pay Range**

The typical pay range for this role is:

$83,430.00 - $222,480.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

**Great benefits for great people**

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

+ **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** .

+ **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

+ **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 07/06/2025

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.