engineering scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Artificial General Intelligence (AGI) Customization Team is seeking a highly skilled and experienced Applied Scientist to support adoption and enable customization of Amazon Nova. The role focuses on developing state-of-the-art services and tools for model customization, including supervised fine-tuning, reinforcement learning, and knowledge distillation across large language models.<br>
<br>
As an Applied Scientist, you will play a important role in developing advanced customization capabilities that enable enterprises to build highly performant application-specific models without the need for training models from scratch. Your work will directly impact how companies leverage Amazon Nova models for their specific use cases.<br>
<br>
Key job responsibilities<br>
<ul><li>Contribute to the development of novel customization techniques including extended post-training, continued pre-training, and advanced knowledge distillation
</li><li>Collaborate with cross-functional teams to design and implement enterprise-ready tooling for various training techniques on Amazon SageMaker</li><li>Design and execute experiments to optimize model accuracy, latency, and cost across different customization approaches (SFT, DPO, PPO)</li><li>Develop and enhance preference learning algorithms and training curricula for customer-specific applications</li><li>Create robust evaluation frameworks for assessing model performance across different domains and use cases</li><li>Contribute to the development of the Responsible AI toolkit, including creating training and evaluation datasets for model alignment</li><li>Design and implement secure access mechanisms for early model checkpoints and weights</li><li>Communicate technical insights and results to both technical and non-technical stakeholders through presentations and documentation</li></ul></div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li><li>1+ years of building machine learning models for business application experience</li><li>Master's degree, or PhD and 2+ years of applied research experience</li><li>Experience with any programming language such as Python, Java, C++</li><li>Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li><li>PhD in computer science, machine learning, engineering, or related fields, or Master's degree</li><li>PhD in computer science, computer engineering, or related field, or experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch</li><li>Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in software development and experience in managing and troublshooting network</li><li>Experience collaborating with cross-functional teams</li><li>Experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning</li><li>Experience with patents or publications at top-tier peer-reviewed conferences or journals</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, MA, Cambridge - 142,800.00 - 193,200.00 USD annually<br>
USA, WA, BELLEVUE - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, AGI Customization Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
If you&rsquo;re curious, empathetic, and passionate about video technologies&mdash;and excited about applying innovative machine learning techniques&mdash;we want you as a team member! This is a position where you&rsquo;ll get to be innovative and creative while working on challenging and impactful problems in the video space. You will prototype and integrate advanced models at scale, powering experiences used by customers all over the world, from small start-ups to major broadcasting companies.<br>
<br>
As a Senior Applied Scientist on the team, you&rsquo;ll be both a leader and a key technical contributor. A successful candidate has strong expertise in applied science (machine learning, artificial intelligence, data analysis) as well as effective communication and leadership skills, with experience mentoring and collaborating across disciplines. You must have a proven track record of delivering on your team&rsquo;s most critical and challenging projects and the ability to listen empathetically to differing opinions, building consensus to guide the team toward a deeper understanding of a problem. You&rsquo;ll need to be able to take ambiguous and complex problems and develop innovative models and algorithms that balance customer needs and timelines with long-term maintainability and scalability.<br>
<br>
If you&rsquo;re excited about media services and you want to grow your machine learning and applied science skills in a supportive environment, join our team and help customers get inspiring and compelling video content to their viewers!<br>
<br>
Key job responsibilities<br>
<ul><li>Building prototypes, optimizing and deploying advanced machine learning models into production to solve complex challenges in video processing, understanding, and content monetization</li><li>Collaborating with product management, engineers, and data scientists to design and drive the delivery of new customer-focused features and enhancements</li><li>Developing scalable solutions to enhance quality, improve the performance, and resiliency of our video services through data-driven modeling and experimentation</li><li>Participating in code and model reviews to help the team identify sharp edges, estimate edge cases, anticipate challenges, follow Amazon&rsquo;s best practices for AIML, and improve the quality of scientific and engineering work</li><li>Mentoring team members on machine learning best practices, advanced modeling techniques, and service improvements, fostering continuous growth in technical and research skills</li><li>Contributing to operational tooling and improvements, including building metrics, dashboards, and monitoring solutions to ensure our systems and models perform reliably at scale</li><li>Contributing towards publication of applied research work in conferences internally or externally</li></ul><br>
About the team<br>
At Elemental, we focus on career growth and work with you to find projects that will help you succeed individually in your career while making the team successful. We will do our part to ensure you are challenged, while providing you with the tools, resources, and mentorship to support your development as a scientist.<br>
<br>
We recognize that you spend a large number of your hours at work and we value the importance of feeling fulfilled and satisfied in your role. We will collaborate with you to create a work environment that makes you most productive and contented, recognizing that it looks different for everyone. We also respect your life outside of work, and we are flexible in how you manage your schedule so you can find a flow that fits your life.<br>
<br>
AWS Infrastructure Services (AIS)<br>
<br>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
<br>
<br>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br>
<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Extensive experience developing and deploying large-scale machine learning systems, particularly in video processing or computer vision</li><li>Expertise in large language models or demonstrated ability to develop this expertise quickly</li><li>Deep expertise in modern deep learning frameworks and production ML systems</li><li>Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audience</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Santa Clara - 192,200.00 - 260,000.00 USD annually<br>
USA, OR, Portland - 167,100.00 - 226,100.00 USD annually</div><p></p>

Applied Scientist III, AWS Elemental

King Abdullah University of Science and Technology

<div></div><div><div><div><div><div><div><div><div><div><div>King Abdullah University of Science and Technology: Postdoc Positions: Physical Science and Engineering Division (postdoc): Material Science and Engineering (postdoc)
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>King Abdullah University of Science and Technology (KAUST)
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Apr 08, 2026
</div></div><div><h3 class="jobSectionHeader"><b>Deadline
</b></h3><div>Oct 08, 2026 at 11:59 PM Eastern Time
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>Development of an AI-driven analytics framework for real-time monitoring. The role focuses on algorithm development, data fusion, and deployment for anomaly detection in solar panels and battery systems.</p><br>
<p></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Develop computer vision and deep learning algorithms for image-based detection.</li>
<li>Implement data fusion and image analysis pipelines for scientific/engineering applications.</li>
<li>Build scalable and real-time inference workflows.</li>
<li>Collaborate with multidisciplinary teams (materials, devices, and systems).</li>
<li>Contribute to publications, reports, and student supervision.</li></ul><br>
<p></p>
<p><b>
Position Details</b></p>
<ul>
<li>Postdoctoral Researcher or Research Scientist (depending on experience)</li>
<li>Competitive salary and research environment</li>
<li>Based at KAUST with interdisciplinary collaboration</li>
</ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3><div><div><ul><li>PhD (Postdoc) or MSc/PhD (Research Scientist) in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.</li>
<li>Strong expertise in:</li>
<ul><li>Computer vision and image processing</li>
<li>Deep learning (e.g., PyTorch, TensorFlow)</li>
<li>Data-driven modeling and analysis</li>
</ul><li>Proficiency in Python and standard ML libraries.</li>
<li>Demonstrated ability to develop practical, deployable models.</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications</b></p>
<ul>
<li>Experience with scientific imaging or multimodal data.</li>
<li>Background in real-time systems, embedded/edge AI, or sensor data analysis.</li>
<li>Familiarity with defect detection or monitoring systems.</li>
</ul></div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div></div></div></div></div><p></p>

Postdoctoral Researcher / Research Scientist (Computer Vision & AI for Infrared Imaging)

Uber

<div>
 <strong>
  Employer:
 </strong>
 Uber Technologies, Inc.
 <br/>
 <br/>
 <strong>
  Job Title:
 </strong>
 Sr Data Scientist, Tech
 <br/>
 <br/>
 <strong>
  Job Location:
 </strong>
 New York, New York
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full Time
 <br/>
 <br/>
 <strong>
  Rate of Pay:
 </strong>
 $261,248 to $313,498 per year
 <br/>
 <br/>
 You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits .
 <br/>
 <br/>
 <strong>
  Duties:
 </strong>
 Build prototype software solutions to automate business processes to drive operational efficiency. Leverage data to understand business problems and opportunities for automation, enabling teams to action levers that drive incremental business value without increasing manual burden. Conduct architecture and code reviews with Engineering teams to enable prototype solutions through internal and external APIs, finding opportunities to apply new AI technologies and tools. Monitor and track performance of automated activities to ensure business continuity and re-assess relevance periodically, and move beyond the prototype stage where relevant in partnership with Engineering and Product teams. Manage an in-person team that carries out similar duties as above, and oversee a remote team of analysts that create dashboards and reports to communicate results and monitor key metrics, through analysis and building data pipelines. Develop end-to-end solutions to abstract business and engineering problems related to funnel optimization, user engagement, and user experience. Supervise at least 1 Data Scientist / 15-2051; Data Scientists. May telecommute.
 <br/>
 <br/>
 Employer will accept a Bachelor's degree in Business, Economics, Engineering (Any), Data Science, Analytics, Computer Science, or related field, followed by five years of progressive, post-baccalaureate experience in the job offered or in a related occupation.
 <br/>
 <br/>
 <strong>
  Position Requires
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   R or Python;
  </li>
  <li>
   SQL;
  </li>
  <li>
   Designing and overseeing data products, analytics, and automation solutions;
  </li>
  <li>
   Leading technical teams in automation, analytics, or data science;
  </li>
  <li>
   Developing end-to-end prototype solutions to automate business processes and improve efficiency;
  </li>
  <li>
   Identifying opportunities for business and operation optimization and efficiency;
  </li>
  <li>
   Machine learning and AI capabilities and identifying use cases to drive automation;
  </li>
  <li>
   Deploying code and developing best practices for automation capabilities.
  </li>
 </ul>
</div>


Sr Data Scientist, Tech

Hays

<div>
 <p>
  <strong>
   Senior Data Scientist
  </strong>
 </p>
 <p>
  <strong>
   Financial Services
  </strong>
 </p>
 <p>
  <strong>
   Dubai, United Arab Emirates
  </strong>
 </p>
 <p>
  <strong>
   Permanent position
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a Senior Data Scientist to join an investment team to help advance the next stage of growth for of tech‑driven wealth management firm.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role sits at the intersection of quant finance, AI and engineering. You will work directly quant analysts and researchers, to build models, tools, and insights that enhance investment decisions across multi‑asset portfolios.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Asset class
  </strong>
 </p>
 <p>
  Experience working with multi‑asset datasets: equities, FX/currencies, rates, credit, commodities, derivatives.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience needed
  </strong>
 </p>
 <ul>
  <li>
   Python expertise
  </li>
  <li>
   ML proficiency
  </li>
  <li>
   Develop and maintain quantitative models for asset allocation
  </li>
  <li>
   Design and deploy LLM‑powered tools
  </li>
  <li>
   Familiarity with portfolio construction frameworks and allocation strategies
  </li>
  <li>
   Deep understanding of quantitative finance and financial datasets
  </li>
  <li>
   Implement AI models for quant research and investment workflows
  </li>
  <li>
   Previous QR/QA/SDS industry role within wealth management, managers, funds, or investment banks
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   PhD in Com Sci or relevant STEM
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Salary, bonus, family visa, family medical, flight &amp; relocation assistance available for successful overseas applicants.
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Due to the high number of applicants, only applicants with the above skillset will be contacted**
 </p>
</div>


Senior Data Scientist

Seero Engineering Consulting

<p>We are seeking motivated and detail-oriented engineering graduates to join our growing team. This role is ideal for candidates with a background in civil engineering, architecture, or quantity surveying who are looking to start their careers in a dynamic and fast-paced environment.</p><p>Key Responsibilities</p><ul><li>Assist in preparing project documentation and technical submissions</li><li>Support coordination between design, commercial, and execution teams</li><li>Review drawings, BOQs, and project specifications</li><li>Participate in project planning and reporting activities</li><li>Ensure all documentation is accurate and submitted on time</li><li>Assist in communication with clients and internal departments</li></ul><p>Requirements:</p><ul><li>Bachelor&rsquo;s degree in Civil Engineering, Architecture, or Quantity Surveying</li><li>Fresh graduates are encouraged to apply</li><li>Strong analytical and organizational skills</li><li>Good communication skills (written and verbal)</li><li>Proficiency in MS Office (Excel, Word, PowerPoint)</li><li>Ability to work under deadlines and manage multiple tasks</li></ul><p>Work Location: In person</p>

Graduate Engineer

Chewy

<div><p>Job Description:</p><p></p><p><b>
Data Scientist III</b></p><p><b>
Boston, MA &ndash; </b>Customer Service <b>&ndash; Full time &ndash; </b><b>R29580</b></p><p></p><p><b>
Job Description:</b></p><p></p><p><b>
What you&rsquo;ll do:</b></p><ul><li>
Develop machine learning infrastructure and data pipelines that improve data quality.
</li><li>Use machine learning frameworks in both development, testing, and production environments to create and deploy new technologies.
</li><li>Identify opportunities for data science to improve current products and practices for business engineering teams.
</li><li>Create machine learning algorithms to optimize and deliver results by reducing computational complexity, increasing the accuracy of models, and improving business metrics.
</li><li>Perform data ET, statistical and analytical analyses, and communicate insights and recommendations to Chewy management to make informed decisions.
</li><li>Devise models and algorithms and guide engineering to develop scalable solutions that can work in real-time with large amounts of data.
</li><li>Establish collaborative working relationships at all levels across various functional teams.</li></ul><p></p><p><b>
What you&rsquo;ll need:</b></p><ul><li>
Minimum Requirements: Master&rsquo;s degree in Data Science, Analytics, Engineering, or related field of study and 4 years of experience required as a Data Scientist, or related position/occupation.</li><li>
Alternate Education and Experience: PhD in Data Science, Analytics, Engineering, or related field of study and 2 years of experience required as a Data Scientist, or related position/occupation.</li><li>
Full term of experience must include:<ul><li>
Manage the entire data science lifecycle, data prep, exploratory data analysis, modeling, interface with engineering;</li><li>
Amazon Web Services tools such as Redshift, Snowflake, SageMaker or other similar platforms;</li><li>
R, PySpark, Spark, Scala, Java, PyTorch, TensorFlow, Docker;</li><li>
Object-oriented programming with Python; and</li><li>
Data visualization tools and packages (Tableau or similar).</li></ul></li></ul><p></p><p><b>
Employer:</b> Chewy, Inc.</p><p><b>
Office Address:</b> 343 Congress Street, Floor 5, Boston, MA 02210</p><p><b>
Req:</b> R29580</p><p></p><p><b>
The </b><b>base salary range for this role is</b> $161,803 to $229,000 per year</p><p></p><ul><li>
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate&rsquo;s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.</li></ul><p><br>
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.</p><p><br>
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.</p><p></p><ul><li><p><br>
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate&rsquo;s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.</p></li></ul><p></p><p>
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.</p><p></p><p>
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.</p><p></p><p>
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.</p></div><p></p>

Data Scientist III

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