Mid Level Applied Data Scientist Jobs
Mid level applied data scientist jobs go to professionals ready to own modeling pipelines end to end, translate business problems into deployable solutions, and guide junior teammates with limited oversight. Roles are concentrated across Technology & Software, Retail, and E-Commerce & Online Marketplaces, with a mix of on-site, hybrid, and remote settings, and employers like Amazon, SentiLink, and Target hiring at this level now.
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DESCRIPTION
We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. In this role, you will be developing Agentic Large Language Models (LLMs) and/or Vision Large Language Models (VLM) to unlock new shopping experiences. Experience with Reinforcement Learning (RL) and LLM Post-training is preferred. You’ll be working with talented scientists, engineers, product managers, and technical program managers to innovate on behalf of our customers. If you’re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!
BASIC QUALIFICATIONS
- Master's degree or above in computer science, machine learning, engineering, or related fields
- 3+ years of building machine learning models or developing algorithms for business application experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
PREFERRED QUALIFICATIONS
- Experience in professional software development
- Experience in LLM post-training (SFT and RL) is a plus
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
COMPENSATION
- 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 & AD&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.
LOCATION
USA, CA, Palo Alto - 171,600.00 - 222,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
DESCRIPTION
We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. In this role, you will be developing Agentic Large Language Models (LLMs) and/or Vision Large Language Models (VLM) to unlock new shopping experiences. Experience with Reinforcement Learning (RL) and LLM Post-training is preferred. You’ll be working with talented scientists, engineers, product managers, and technical program managers to innovate on behalf of our customers. If you’re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!
BASIC QUALIFICATIONS
- Master's degree or above in computer science, machine learning, engineering, or related fields
- 3+ years of building machine learning models or developing algorithms for business application experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
PREFERRED QUALIFICATIONS
- Experience in professional software development
- Experience in LLM post-training (SFT and RL) is a plus
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
COMPENSATION
- 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 & AD&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.
LOCATION
USA, CA, Palo Alto - 171,600.00 - 222,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
See All 86 Mid Level Applied Data Scientist Jobs
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Find JobsMid Level Applied Data Scientist Job Market
Who's Hiring
- Amazon59
- SentiLink6
- Target3
- Amazon Web Services3
- Open Exchange Labs3
Top Industries Hiring
- Technology & Software30
- Retail23
- E-Commerce & Online Marketplaces19
- Distribution & Wholesale4
- Construction & Real Estate3
Mid Level Applied Data Scientist Jobs: Frequently Asked Questions
How do I get a mid level applied data scientist job?
Position your experience around ownership, not just contribution. Highlight projects where you drove the full modeling cycle from framing the problem through deployment and monitoring, and where your work influenced a real business decision. Applications that show measurable impact, production-grade work, and cross-functional collaboration consistently stand out at this level over those that list tools alone.
Which companies hire mid level applied data scientists?
Companies hiring mid level applied data scientists right now include Amazon, SentiLink, and Target, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of employers, including large technology firms, financial services companies, healthcare organizations, and growth-stage startups that need scientists who can work independently on applied problems.
Are there remote mid level applied data scientist jobs?
Yes, remote work is well established for applied data scientists at this experience level. About 24% of mid level applied data scientist openings are remote or hybrid as of November 2026, reflecting how broadly the role translates to distributed team structures. Fully on-site roles do exist, particularly in regulated industries or labs where data access and security requirements are stricter.
How do I move up to a mid level applied data scientist role?
Moving from entry level to mid level is about deepening ownership over time. Early in your career, focus on going beyond assigned tasks to drive projects from problem definition through delivery, building production instincts alongside modeling skills, and taking on cross-functional work where your analysis directly shapes decisions. Demonstrable impact on real outcomes, not just technical breadth, is what distinguishes mid level candidates.
Which industries hire the most mid level applied data scientists?
Mid Level applied data scientist roles concentrate in Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of November 2026. These sectors drive demand because they combine large proprietary datasets, clear business applications for predictive modeling, and enough organizational maturity to support data scientists who operate with meaningful autonomy.