Chemists

**Job Description**

This position will be part of the Device Quality & Regulatory Team within Global Regulatory Affairs and Clinical Safety (GRACS). The primary responsibility for this position is to ensure regulatory compliance for the company's portfolio of medical devices and medical device combination products.

**_Primary activities include, but are not limited to:_**

+ Serve as coordinator for management review of the company's device quality management system, including working with sites to collect, analyze and summarize data for management review meetings and presentations.

+ Support device related internal, notified body and health authority inspections

+ Provide support for quality system initiatives by generating, managing, and tracking gap assessments, quality plans, and CAPA

+ Collaborate with global IT organizations to ensure medical device and medical device combination quality system aspects are integrated

+ Stay abreast of evolving global regulatory landscapes for medical device and medical device combination products.

+ Collaborate with GRACS, Device, Development & Technology (DD&T), purchasing, and manufacturing quality teams to ensure regulatory requirements are integrated into applicable QMS processes.

+ Develop implementation strategies to align the QMS with identified regulatory updates.

+ Audit vendors/partners of SaMD/IVD/Companion Diagnostics

**Reports to** - Director Regulatory Compliance, Device Quality and Regulatory

**Location** - Remote, Preference would be to work from Rahway, NJ, Upper Gwynedd, PA.

**Extent of Travel** -Less than 20% travel to US/OUS

**Qualifications, Skills & Experience** -

+ Bachelor's degree in a Science, Engineering, or a related field

+ At least 5 years of experience working in Pharmaceutical, Medical Device or Biotech Industry

+ Demonstrated experience managing quality system dashboards

+ Recent experience interfacing with regulatory agencies such as FDA, EMA, or EU Notified Body

+ Recent experience participating in Notified Body Audits

+ Must be proficient in English

**Preferred Skills & Experience** -

+ Demonstrated proficiency in the use and enhancement of quality related IT systems (e.g. Veeva, Qlik Sense etc.)

+ Experience performing external surveillance of global device regulations.

+ Experience with authoring and reviewing regulatory submissions.

+ Experience performing gap analysis of quality systems against ISO 13485, MDSAP, EU MDR, EU IVDR and other global device regulations.

+ Experience obtaining CE Marking for Medical Devices and Notified Body Opinion (NBOp) for drug delivery combination products.

+ Prefer at least 3 years demonstrated leadership experience with project teams

Current Employees apply HERE (https://wd5.myworkday.com/msd/d/task/1422$6687.htmld)

Current Contingent Workers apply HERE (https://wd5.myworkday.com/msd/d/task/1422$4020.htmld)

**US and Puerto Rico Residents Only:**

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here (https://survey.sogosurvey.com/r/aCdfqL) if you need an accommodation during the application or hiring process.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights (https://www.eeoc.gov/sites/default/files/2022-10/22-088\_EEOC\_KnowYourRights\_10\_20.pdf)

EEOC GINA Supplement​

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts (https://www.msdprivacy.com/us/en/CCPA-notice/)

**U.S. Hybrid Work Model**

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

The salary range for this role is

$139,600.00 - $219,700.00

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits .

You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

**San Francisco Residents Only:** We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

**Los Angeles Residents Only:** We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

**Search Firm Representatives Please Read Carefully**

Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

**Employee Status:**

Regular

**Relocation:**

No relocation

**VISA Sponsorship:**

No

**Travel Requirements:**

10%

**Flexible Work Arrangements:**

Remote

**Shift:**

Not Indicated

**Valid Driving License:**

No

**Hazardous Material(s):**

n/a

**Required Skills:**

Applied Engineering, Biologics License Application (BLA), Detail-Oriented, Electronic Common Technical Document (eCTD), FDA Medical Device Regulations, International Regulatory Compliance, Management Process, Manufacturing Compliance, Mechatronics, Medical Device Quality Systems, Medical Devices, Pharmaceutical Process Development, Procurement, Regulations, Regulatory Affairs Compliance, Regulatory Affairs Management, Regulatory CMC, Regulatory Compliance, Regulatory Requirements, Regulatory Strategy Development, Regulatory Submissions, Regulatory Writing

**Preferred Skills:**

**Job Posting End Date:**

07/8/2025

***A job posting is effective until 11:59:59PM on the day** **BEFORE** **the listed job posting end date. Please ensure you apply to a job posting no later than the day** **BEFORE** **the job posting end date.**

**Requisition ID:** R354271

**Data Scientist**

**Position Overview**

AI and analytics give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. In order to do so, our clients need new business models built from analyzing dynamically changing customer and business operations data to drive ideal business decisions.

A Data Scientist in Cognizant’s Data+ practice brings relevant context to complex data for business and IT for intelligent systems and human decisioning. They work within the domains of data management, business intelligence, descriptive analytics and advanced modeling. They will use a variety of machine learning and AI approaches to deliver better, faster, and smarter insights and intelligence to some of the world’s most successful businesses – our clients.

**Responsibilities**

+ Build an in-depth understanding of the opportunity, challenge or issue in the domain and its associated data

+ Interact with and integrate large, diverse and impactful datasets across business functions

+ Research, design, implement, and evaluate sophisticated analytics, including machine learning models

+ Take initiative in evaluating and adapting new innovative approaches and methods from data science research

+ Investigate data visualization and summarization techniques for conveying key findings

+ Responsible for telling the “data and analytics story” to business users in a clear and concise manner and bring value from the data storytelling

+ Communicate findings, obstacles and opportunities to clients to help drive the delivery to market

+ Basic exposure working with Generative AI.

**Basic Qualifications**

+ Bachelor's or Master’s degree in IT-related field and 0-3 years of IT experience

+ Strong problem solving and analytical thinking skills with business interpersonal skills (both written and oral)

+ Hands-on experience in data cleaning and data quality assessment, hypotheses testing, data exploration and mining, visualization techniques, algorithm selection and building predictive models using traditional machine learning algorithms

+ Experience with traditional modeling algorithms (e.g. regression, log-regression, clustering, predictive modeling, etc.)

+ Hands on experience with Python and R/R Studio

+ Exposure to working with SQL, Relational Database Management Systems (e.g. SQL Server, Oracle)

**Distinguishing Qualifications**

+ Familiarity with neural networks and other deep learning approaches

+ Familiarity with developing and deploying models on the Hadoop environment

+ Some experience with AWS Sagemaker, Google TensorFlow or MS Azure ML

+ Experience with collaborative development workflows (e.g., Microsoft VSTS)

+ Knowledgable in application development using Hadoop components (HDFS, Spark, Hive, etc.)

+ Solid understanding of Tableau or other BI visualization tools, Google Analytics, Adobe Analytics, SAS

+ Open-Source Tools in any of the above with experience in D3/R/Shiny/Python/GitHub

+ Awareness of Narrative Science/ YSEOP/Automated Insights and concepts of NLG/NLP

**Location(s)**

Associates be deployed to specific client sites and those locations will be discussed through the application process. While Cognizant will make reasonable efforts to accommodate your location preference, please note that final assignments will be based on business needs and regional relocation may be required.

**Start Date(s)**

Start date is July 2025. While we will attempt to honor candidate summer start date preferences, business need and position availability will determine final start date assignment. Exact summer start dates will be communicated with enough time for you to plan effectively.

**Why Choose Us?**

Cognizant delivers solutions that draw upon the full power and scale of our associates. You will be supported by high-caliber professionals and employ some of the most sophisticated and patented capabilities. Our associate’s diverse set of backgrounds offer varied perspectives and fuel new ways of thinking. We encourage lively discussions which inspire better results for our clients.

If you’re comfortable with ambiguity and excel through autonomy, we’d love to hear from you!

**Salary and Other Compensation:**

The annual salary for this role is $73,000.00 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

**Benefits:**

Cognizant offers the following benefits for this position:

+ Medical/Dental/Vision/Life Insurance

+ Paid holidays plus Paid Time Off

+ 401(k) plan and contributions

+ Long-term/Short-term Disability

+ Paid Parental Leave

+ Employee Stock Purchase Plan

**Disclaimer**

The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

**Work Authorization**

Due to the nature of this position, Cognizant cannot provide sponsorship for U.S. work authorization (including participation in a CPT/OPT program).

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.

The Medical Laboratory Scientist II performs and interprets standard, complex and specialized laboratory tests. The MLS II has an understanding of the underlying scientific principles of laboratory testing as well as the technical, procedural, and problem-solving aspects. The MLS II correlates abnormal laboratory data with pathologic states, determines validity of test results and need for additional investigation. The MLS II has an understanding of quality control programs, and evaluates computer-generated data and troubleshoots problems. The MLS II is able to participate in the introduction, investigation and implementation of new procedures and in the evaluation of new instruments. The MLS II understands and enforces regulatory requirements and safety regulations. This position receives supervision of completed work activities from the supervisor.

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

**POSITION SUMMARY:** The Data Scientist I drives internal data analytics projects. The role collaborates with executive leaders to deliver analytical solutions to business problems. Initiatives vary from descriptive analyses to the development and implementation of advanced statistical, machine learning, and AI models. The Data Scientist I effectively communicates both technical and business concepts across all levels of the organization, and they influence decision making through presentation of data-based recommendations.

**PRINCIPAL RESPONSIBILITIES:**

+ Builds statistical and machine-learning models to enhance understanding of trends and predict future performance

+ Participates in end-to-end data science project lifecycle – data mining and exploration, model development and evaluation, solution deployment in production, measurement, and tracking

+ Performs time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends across all relevant functional areas

+ Transforms data into actionable insights and recommendations

+ Designs experiments and interprets the results to draw detailed and actionable conclusions

+ Researches and resolves data inquiries and requests

+ Documents requirements for data science and reporting projects

+ Designs, validates, and evaluates solutions using R, Python, SQL, and other programming tools

+ Performs other job-related duties as assigned.

**KNOWLEDGE / SKILLS / ABILITIES:**

+ Proficiency with programming in Python or R in data science and/or statistical analysis settings **.**

+ Proficiency with relational databases and the ability to write SQL queries.

+ Proficiency with Excel and PowerBI.

**QUALIFICATIONS:**

+ Master's degree preferred.

+ 1 year of experience working with large databases to perform complex analysis.

+ 1 year of experience with statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees.

**MINIMUM QUALIFICATIONS:**

+ Bachelor’s Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering).

+ 1 year of experience with advanced programming in Python or R and SQL, conducting complex statistical analysis and building machine learning algorithms with large databases.

**​​ROLE HIGHLIGHTS:**

+ **For consideration, if outside of the Metro Phoenix Area, candidates** **must indicate "open to relocation" on the resume.**

+ Hybrid role: 4 days in office with 1 day remote.

+ Knowledge of logistics and supply chain a plus.

+ Applied experience with experimental design, time series modeling, and optimization preferred.

+ Experience developing production-ready code and model pipelines.

+ Ability to collaborate with business leaders and IT to build and deliver end-to-end solutions.

**Rewarding Compensation and Benefits**

Eligible employees can elect to participate in:

• Comprehensive medical benefits coverage, dental plans and vision coverage.

• Health care and dependent care spending accounts.

• Short- and long-term disability.

• Life insurance and accidental death & dismemberment insurance.

• Employee and Family Assistance Program (EAP).

• Employee discount programs.

• Retirement plan with a generous company match.

• Employee Stock Purchase Plan (ESPP).

_The statements used herein are intended to describe the general nature and level of the work being performed by an employee in this position, and are not intended to be construed as an exhaustive list of responsibilities, duties and skills required by an incumbent so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the Company._

EEO STATEMENT:Republic Services is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, relationship or association with a protected veteran (spouses or other family members), genetic information, or any other characteristic protected by applicable law.

**ABOUT THE COMPANY**

Republic Services, Inc. (NYSE: RSG) is a leader in the environmental services industry. We provide customers with the most complete set of products and services, including recycling, waste, special waste, hazardous waste and field services. Our industry-leading commitments to advance circularity and support decarbonization are helping deliver on our vision to partner with customers to create a more sustainable world.

In 2023, Republic’s total company revenue was $14.9 billion, and adjusted EBITDA was $4.4 billion. We serve 13 million customers and operate more than 1,000 locations, including collection and transfer stations, recycling and polymer centers, treatment facilities, and landfills.

Although we operate across North America, the collection, recycling, treatment, or disposal of materials is a local business, and the dynamics and opportunities differ in each market we serve. By combining local operational management with standardized business practices, we drive greater operating efficiencies across the company while maintaining day-to-day operational decisions at the local level, closest to the customer.

Our customers, including small businesses, major corporations and municipalities, want a partner with the expertise and capabilities to effectively manage their multiple recycling and waste streams. They choose Republic Services because we are committed to exceeding their expectations and helping them achieve their sustainability goals. Our 41,000 team members understand that it's not just what we do that matters, but how we do it.

Our company values guide our daily actions:

+ **Safe** : We protect the livelihoods of our colleagues and communities.

+ **Committed to Serve** : We go above and beyond to exceed our customers’ expectations.

+ **Environmentally Responsible:** We take action to improve our environment.

+ **Driven** : We deliver results in the right way.

+ **Human-Centered:** We respect the dignity and unique potential of every person.

We are proud of our high employee engagement score of 86. We have an inclusive and diverse culture where every voice counts. In addition, our team positively impacted 4.6 million people in 2023 through the Republic Services Charitable Foundation and local community grants. These projects are designed to meet the specific needs of the communities we serve, with a focus on building sustainable neighborhoods.

**STRATEGY**

Republic Services’ strategy is designed to generate profitable growth. Through acquisitions and industry advancements, we safely and sustainably manage our customers’ multiple waste streams through a North American footprint of vertically integrated assets.

We focus on three areas of growth to meet the increasing needs of our customers: recycling and waste, environmental solutions and sustainability innovation.

With our integrated approach, strengthening our position in one area advances other areas of our business. For example, as we grow volume in recycling and waste, we collect additional material to bolster our circularity capabilities. And as we expand environmental solutions, we drive additional opportunities to provide these services to our existing recycling and waste customers.

**Recycling and Waste**

We continue to expand our recycling and waste business footprint throughout North America through organic growth and targeted acquisitions. The 13 million customers we serve and our more than 5 million pick-ups per day provide us with a distinct advantage. We aggregate materials at scale, unlocking new opportunities for advanced recycling. In addition, we are cross-selling new products and services to better meet our customers’ specific needs.

**Environmental Solutions**

Our comprehensive environmental solutions capabilities help customers safely manage their most technical waste streams. We are expanding both our capabilities and our geographic footprint. We see strong growth opportunities for our offerings, including PFAS remediation, an increasing customer need.

**SUSTAINABILITY INNOVATION**

Republic’s recent innovations to advance circularity and decarbonization demonstrate our unique ability to leverage sustainability as a platform for growth.

The Republic Services Polymer Center is the nation’s first integrated plastics recycling facility. This innovative site processes rigid plastics from our recycling centers, producing recycled materials that promote true bottle-to-bottle circularity. We also formed Blue Polymers, a joint venture with Ravago, to develop facilities that will further process plastic material from our Polymer Centers to help meet the growing demand for sustainable packaging. We are building a network of Polymer Centers and Blue Polymer facilities across North America.

We continue to advance decarbonization at our landfills. As demand for renewable energy continues to grow, we have 70 landfill gas-to-energy projects in operation and plan to expand our portfolio to 115 projects by 2028.

**RECENT RECOGNITION**

+ Barron’s 100 Most Sustainable Companies

+ CDP Discloser

+ Dow Jones Sustainability Indices

+ Ethisphere’s World’s Most Ethical Companies

+ Fortune World’s Most Admired Companies

+ Great Place to Work

+ Sustainability Yearbook S&P Global

Description

The DSP (Delivery Service Partner) Offer & Expansion team is part of the Last Mile Product and Technology organization and is responsible for designing, launching, and managing the strategy of the Delivery Service Partner (DSP) program around the world across all of its various use cases.

As a critical member of the actuarial data science team, this position will be responsible for driving our capabilities around pricing, performance drivers, and portfolio economics. You will work backwards from business problems to create models and solutions to define the pricing and structure of our global product offerings. Partnering with our single-threaded leader product leads, help to develop and build core processes to monitor market trends, competitors, and performance to optimize our products.

Key job responsibilities

Develop sophisticated pricing models that capture market trends, competitive landscapes, and performance drivers

Create comprehensive economic analyses to inform strategic product decisions

Design and implement advanced statistical methodologies to evaluate and optimize product offerings

Collaborate with product leads to translate complex data insights into actionable business strategies

Build robust monitoring processes to track market dynamics and competitive intelligence

A day in the life

Your day will be a dynamic blend of data exploration, strategic analysis, and collaborative problem-solving. You'll dive deep into complex datasets, develop predictive models, and translate intricate financial insights into actionable business strategies. Expect to engage with cross-functional teams, challenge existing assumptions, and contribute to product development.

Basic Qualifications

- 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience

- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience

- Experience with statistical models e.g. multinomial logistic regression

Preferred Qualifications

- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience

- Experience managing data pipelines

- Experience as a leader and mentor on a data science team

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

**_The future is what you make it._**

We are seeking an experienced **Lead Artificial Intelligence & Machine Learning Engineer** with expertise in speech processing to contribute to real-time speech anonymization solutions. You will be responsible for developing, training, and optimizing machine learning models aimed at transforming speech signals in real-time, ensuring the de-identification of speakers. This role will require you to work with large datasets, implement cutting-edge AI/ML techniques, and build systems optimized for high performance in CPU/GPU environments.

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).

**LOCATION:** The preferred location for this role is Deer Valley, Phoenix, AZ. The Plymouth, MN location will also be considered if needed.

**RELOCATION PACKAGE OFFERED!!!**

**KEY RESPONSIBILITIES:**

•Develop advanced speech transformation and speech pseudo-generation models.

•Design and implement machine learning architectures such as complex multi-head attention transformers, variational autoencoders (VAEs), and RNN/LSTM/CNN-based models for speech anonymization.

•Optimize AI models for real-time performance using model quantization, and model compression.

•Handle streaming audio processing with Voice Activity Detection (VAD) and implement models that operate in real-time.

•Develop and optimize AI models for both CPU and GPU environments (CUDA, cuDNN) using frameworks like TensorFlow and PyTorch.

•Train AI models on large-scale datasets and improve performance using automated platforms for testing and training.

•Collaborate with cross-functional teams to integrate AI solutions with the software architecture.

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

•Respond to government funding solicitations and perform on government research contracts.

•Submit patent applications, academic publications, and share technical knowledge.

**YOU MUST HAVE:**

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

•6+ years of experience in developing AI/ML models for speech/audio processing with a deep expertise in CPU/GPU parallelism, multi-threading, real-time computing, and streaming data.

**WE VALUE:**

•Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field.

•Deep expertise in AI/ML with experience in speech processing tasks (e.g., speech synthesis, speech de-identification, speaker recognition, voice conversion, accent conversion, noise handling).

•Proficient in Python, with hands-on experience in PyTorch and TensorFlow.

•Experience with model optimization, including quantization, pruning, and compression.

•Strong knowledge of CUDA, cuDNN, and GPU-based deep learning optimizations.

•Speech processing experience with hybrid or End-to-end techniques.

•Handling complete code from data pre-processing to model deployment.

•Proven track record of developing speech solutions in a real-time and noisy production environment.

•Ability to handle noisy data in speech processing and improve the robustness of AI models.

•Familiarity with variational autoencoders (VAE) and transformer-based architectures.

•Experience with Linux and iOS environments.

•Familiarity with speech naturalness detection, emotion extraction, and accent identification.

•Experience working on speech anonymization and pseudo speech generation.

•Knowledge of voice accent conversion techniques and speaker ID systems.

•Exposure to speech enhancement and noise cancellation techniques.

•Strong history of academic publications on speech technology.

•Strong skills in proposal writing.

**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

\#Li-Hybrid

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

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.

**Senior Data Scientist Advisor**

**Anywhere**

**Type:** Contract-to-Hire

**Category:** Data

**Industry:** Technology

**Workplace Type:** Remote

**Reference ID:** JN -052025-102171

**Date Posted:** 06/19/2025

**Shortcut:** http://careers.eliassen.com/HYB9GP

+ Description

+ Recommended Jobs

**Description:**

Deliver insights to help our clients turn data into action as a Data Scientist Advisor. Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career.

Location:Fully Remote

Pay Rate:70-75/hr. W2

_This is a contract-to-hire opportunity. Applicants must be willing and able to work on a W2 basis and convert to FTE following contract duration. For our W2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance._

**Responsibilities:**

· Perform scientific work associated with the analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.

· Use large data sets to find opportunities for product and process optimization.

· Use models to test the effectiveness of different courses of action.

· Mine and analyze data using a variety of data tools.

· Build and implement models using/creating algorithms and creating/running simulations.

· Develop processes and machine learning-based tools to monitor and analyze model performance and data accuracy.

· Assess the effectiveness and accuracy of new data sources and data gathering techniques.

· Develop data science / Machine Learning (ML) / Artificial Intelligence (AI) solutions to complex business challenges.

· Utilize advanced data science tools and skills to interpret, connect, predict, and make discoveries in data.

· Use predictive modeling to increase and optimize customer experiences, efficiencies, process improvements, and other business outcomes.

· Manage and analyze large and/or complex datasets.

· Provide support in capturing and defining any requirements for the deliverables/ solutions for the projects under this contract.

· Provide expertise and implementation support for projects in data science, predictive analytics, machine learning, and artificial intelligence.

· May coach and review the work of less-experienced professionals.

**Experience Requirements:**

Data Science, Data Analysis, Docker (Software), Feature Engineering, Interpersonal Communication, Machine Learning, Machine Learning Operations, MLFlow, Model Governance, Model Tuning, Predictive Modeling, Python (Programming Language), Strong writer and communicator

Required Experience: 8+ years of related experience

Required Technical Skills: **Specific skill sets required**

· Proven experience developing machine learning models and engineering features using Python, Spark, and other packages in Amazon SageMaker AI

· Able to create complex queries in SQL for testing and data analysis

· Experience developing ML pipelines and with ML Operations

· Experience with Model Tuning and Governance

· Experience with the following tools: MLFlow, GitHub, Docker

**Education Requirements:**

Education: Masters of Science in Data Science, or similar degree

Public Trust: Requires ability to pass background check and meet the residency requirement for having resided in the US at least (3) three out of the last (5) five years

_Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._

_W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality._

_Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact InfoSec@eliassen.com._

_About Eliassen Group:_

_Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate._

_Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status._

_Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!_

**Summary:**

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

**Required Skills:**

Data Scientist, Analytics Responsibilities:

1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.

2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.

3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.

4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.

5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

6. Telecommuting is permitted from anywhere in the United States.

**Minimum Qualifications:**

Minimum Qualifications:

7. Requires Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, or a related field and 24 months of experience in the job offered or in a data analytics-related position. Foreign degree equivalent accepted

8. Requires 24 months of experience in the following:

9. 1. Performing quantitative analysis, including data mining on highly complex data sets

10. 2. Data querying languages, including SQL

11. 3. Scripting languages, including Python

12. 4. Statistical or mathematical software, including R, SAS, or Matlab

13. 5. Applied statistics or experimentation, such as A/B testing, in an industry setting

14. 6. Machine learning techniques

15. 7. ETL (Extract, Transform, Load) processes

16. 8. Relational databases

17. 9. Large-scale data processing infrastructures using distributed systems and

18. 10. Quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics.

**Public Compensation:**

$189,953/year to $196,900/year + bonus + equity + benefits

**Industry:** Internet

**Equal Opportunity:**

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**POSITION SUMMARY:** The Data Scientist III drives internal data analytics projects. Projects will vary from short explorations of our data to longer-term implementations of advanced predictive and machine learning models. The Data Scientist III constantly explores our existing data while seeking out new data to consume. They apply analytical and data science methods to real world datasets to solve ongoing business problems. The Data Scientist III effectively communicates both technical and analytical concepts across all levels of the organization, and they influence the roadmap and decision-making through presentation of data-based recommendations.

**PRINCIPAL RESPONSIBILITIES:**

+ Performs time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends across all relevant functional areas.

+ Researches and resolves data inquiries and requests.

+ Provides insights and serves as a subject matter expert for department data.

+ Documents requirements for data science and reporting projects.

+ Supports the development of standard data analyses, reports, and dashboards.

+ Collaborates with other teams to gather data and build relationships.

+ Transforms data into actionable insights and recommendations.

+ Designs experiments and interprets the results to draw detailed and actionable conclusions.

+ Builds statistical models to enhance understanding of trends and predicts future performance.

+ Finds new opportunities and novel applications for our core internal data.

+ Translates and champions our Machine Learning and advanced analytics capabilities for non-technical audiences.

+ Participates in end-to-end data science project lifecycle – data mining and exploration, model development and evaluation, solution deployment in production, measurement, and tracking.

+ Designs, validates, and evaluates solutions using R, Python, SQL and other programming tools.

+ Educates and mentors team members on best practices for data analytics including data science techniques, statistical programming languages and packages, and data preparation.

+ Performs other job-related duties as assigned or apparent.

**KNOWLEDGE / SKILLS / ABILITIES:**

+ Proficiency with programming in Python or R in data science and/or statistical analytics settings.

+ Proficiency with relational databases and the ability to write SQL queries.

+ Proficiency with Excel and PowerBI.

+ Proficiency with cloud computer environments (e.g. AWS).

**QUALIFICATIONS:**

+ Master’s degree preferred.

+ 5 years of demonstrated experience working with large databases to perform complex analysis.

+ 5 years of demonstrated experience with statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees.

+ Demonstrated expertise building and deploying machine learning/AI models in a cloud computing environment (e.g., AWS) and/or enterprise IT environment.

+ Demonstrated expertise with common commercial analytics topics (e.g., pricing optimization, customer segmentation, customer churn/lifetime value, etc.) or operational analytics topics (e.g., logistics analytics, route optimization, maintenance optimization, etc.).

**MINIMUM QUALIFICATIONS:**

+ Bachelor’s Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering).

+ 5 years of experience with advanced programming in Python or R and SQL, conducting complex statistical analysis and building machine learning algorithms with large databases in cloud computing environments.

**ROLE HIGHLIGHTS:**

+ Prior lead/mentor experience is required, experience as a Data Scientist preferred.

+ Knowledge of logistics, supply chain, and fleet management a plus. Applied experience with experimental design, time series modeling, and optimization preferred.

+ Collaborates with business leaders to define a roadmap of data science deliverables.

+ Leads the team in defining and developing production-ready solutions.

+ Role is based in Phoenix, AZ.

**Rewarding Compensation and Benefits**

Eligible employees can elect to participate in:

• Comprehensive medical benefits coverage, dental plans and vision coverage.

• Health care and dependent care spending accounts.

• Short- and long-term disability.

• Life insurance and accidental death & dismemberment insurance.

• Employee and Family Assistance Program (EAP).

• Employee discount programs.

• Retirement plan with a generous company match.

• Employee Stock Purchase Plan (ESPP).

_The statements used herein are intended to describe the general nature and level of the work being performed by an employee in this position, and are not intended to be construed as an exhaustive list of responsibilities, duties and skills required by an incumbent so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the Company._

EEO STATEMENT:Republic Services is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, relationship or association with a protected veteran (spouses or other family members), genetic information, or any other characteristic protected by applicable law.

**ABOUT THE COMPANY**

Republic Services, Inc. (NYSE: RSG) is a leader in the environmental services industry. We provide customers with the most complete set of products and services, including recycling, waste, special waste, hazardous waste and field services. Our industry-leading commitments to advance circularity and support decarbonization are helping deliver on our vision to partner with customers to create a more sustainable world.

In 2023, Republic’s total company revenue was $14.9 billion, and adjusted EBITDA was $4.4 billion. We serve 13 million customers and operate more than 1,000 locations, including collection and transfer stations, recycling and polymer centers, treatment facilities, and landfills.

Although we operate across North America, the collection, recycling, treatment, or disposal of materials is a local business, and the dynamics and opportunities differ in each market we serve. By combining local operational management with standardized business practices, we drive greater operating efficiencies across the company while maintaining day-to-day operational decisions at the local level, closest to the customer.

Our customers, including small businesses, major corporations and municipalities, want a partner with the expertise and capabilities to effectively manage their multiple recycling and waste streams. They choose Republic Services because we are committed to exceeding their expectations and helping them achieve their sustainability goals. Our 41,000 team members understand that it's not just what we do that matters, but how we do it.

Our company values guide our daily actions:

+ **Safe** : We protect the livelihoods of our colleagues and communities.

+ **Committed to Serve** : We go above and beyond to exceed our customers’ expectations.

+ **Environmentally Responsible:** We take action to improve our environment.

+ **Driven** : We deliver results in the right way.

+ **Human-Centered:** We respect the dignity and unique potential of every person.

We are proud of our high employee engagement score of 86. We have an inclusive and diverse culture where every voice counts. In addition, our team positively impacted 4.6 million people in 2023 through the Republic Services Charitable Foundation and local community grants. These projects are designed to meet the specific needs of the communities we serve, with a focus on building sustainable neighborhoods.

**STRATEGY**

Republic Services’ strategy is designed to generate profitable growth. Through acquisitions and industry advancements, we safely and sustainably manage our customers’ multiple waste streams through a North American footprint of vertically integrated assets.

We focus on three areas of growth to meet the increasing needs of our customers: recycling and waste, environmental solutions and sustainability innovation.

With our integrated approach, strengthening our position in one area advances other areas of our business. For example, as we grow volume in recycling and waste, we collect additional material to bolster our circularity capabilities. And as we expand environmental solutions, we drive additional opportunities to provide these services to our existing recycling and waste customers.

**Recycling and Waste**

We continue to expand our recycling and waste business footprint throughout North America through organic growth and targeted acquisitions. The 13 million customers we serve and our more than 5 million pick-ups per day provide us with a distinct advantage. We aggregate materials at scale, unlocking new opportunities for advanced recycling. In addition, we are cross-selling new products and services to better meet our customers’ specific needs.

**Environmental Solutions**

Our comprehensive environmental solutions capabilities help customers safely manage their most technical waste streams. We are expanding both our capabilities and our geographic footprint. We see strong growth opportunities for our offerings, including PFAS remediation, an increasing customer need.

**SUSTAINABILITY INNOVATION**

Republic’s recent innovations to advance circularity and decarbonization demonstrate our unique ability to leverage sustainability as a platform for growth.

The Republic Services Polymer Center is the nation’s first integrated plastics recycling facility. This innovative site processes rigid plastics from our recycling centers, producing recycled materials that promote true bottle-to-bottle circularity. We also formed Blue Polymers, a joint venture with Ravago, to develop facilities that will further process plastic material from our Polymer Centers to help meet the growing demand for sustainable packaging. We are building a network of Polymer Centers and Blue Polymer facilities across North America.

We continue to advance decarbonization at our landfills. As demand for renewable energy continues to grow, we have 70 landfill gas-to-energy projects in operation and plan to expand our portfolio to 115 projects by 2028.

**RECENT RECOGNITION**

+ Barron’s 100 Most Sustainable Companies

+ CDP Discloser

+ Dow Jones Sustainability Indices

+ Ethisphere’s World’s Most Ethical Companies

+ Fortune World’s Most Admired Companies

+ Great Place to Work

+ Sustainability Yearbook S&P Global