Remote Applied Scientist Jobs
Remote Applied Scientist jobs are open across the U.S. in technology, healthcare, and financial services, at companies ranging from remote-first AI startups to large distributed engineering teams. Employers hiring remotely right now include CVS Health, Alvarez & Marsal, and Optum. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 240+ Remote Applied Scientist jobs
DESCRIPTION
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you are energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
About our team
The Sponsored Products and Brands - Offsite team builds solutions that extend campaigns beyond the Amazon store, reaching shoppers across third-party environments where they discover and shop. We combine large-scale, low-latency systems with advanced machine learning and AI to deliver high-quality sponsored experiences in high-intent surfaces.
Key job responsibilities
As a Senior Applied Scientist on this team, you will:
- Effectively communicate technical and non-technical ideas with teammates and stakeholders, adjusting your delivery to the audience to maximize impact.
- Drive or heavily influence the design of scientifically-complex software solutions or systems. You take ownership of these components, providing a system-wide view and design guidance. These systems or solutions can be brand new or evolve from existing ones.
- Define a long-term science vision and roadmap for our Offsite advertising business, driven from our customers' needs. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
- Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end.
- Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses.
- Identify opportunities where GenAI solutions can accelerate learning and efficiency, and drive greater advertiser outcomes.
- Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.
- Stay up-to-date with advancements and the latest modeling techniques in the field.
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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.
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 - 192,200.00 - 260,000.00 USD annually
USA, NY, New York - 183,800.00 - 248,700.00 USD annually
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually
DESCRIPTION
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you are energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
About our team
The Sponsored Products and Brands - Offsite team builds solutions that extend campaigns beyond the Amazon store, reaching shoppers across third-party environments where they discover and shop. We combine large-scale, low-latency systems with advanced machine learning and AI to deliver high-quality sponsored experiences in high-intent surfaces.
Key job responsibilities
As a Senior Applied Scientist on this team, you will:
- Effectively communicate technical and non-technical ideas with teammates and stakeholders, adjusting your delivery to the audience to maximize impact.
- Drive or heavily influence the design of scientifically-complex software solutions or systems. You take ownership of these components, providing a system-wide view and design guidance. These systems or solutions can be brand new or evolve from existing ones.
- Define a long-term science vision and roadmap for our Offsite advertising business, driven from our customers' needs. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
- Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end.
- Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses.
- Identify opportunities where GenAI solutions can accelerate learning and efficiency, and drive greater advertiser outcomes.
- Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.
- Stay up-to-date with advancements and the latest modeling techniques in the field.
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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.
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 - 192,200.00 - 260,000.00 USD annually
USA, NY, New York - 183,800.00 - 248,700.00 USD annually
USA, WA, SEATTLE - 167,100.00 - 226,100.00 USD annually
See All 240+ Remote Applied Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Applied Scientist JobsRemote Applied Scientist Job Market
Who's Hiring
- CVS Health30
- Alvarez & Marsal26
- Optum7
- Netflix7
- Geisinger6
Top Industries Hiring
- Technology & Software56
- Healthcare & Medical Services45
- Consulting & Professional Services42
- Investment & Asset Management28
- Accounting & Auditing26
What Employers Look For
The qualifications that appear most often in remote applied scientist jobs.
- Master's or PhD in computer science, statistics, machine learning, or a related quantitative field
- Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow
- Hands-on experience designing and deploying machine learning models in production environments
- Strong foundation in statistical modeling, experimentation design, and A/B testing methodology
- Experience working with large-scale distributed data systems using tools like Spark or SQL
- Ability to communicate model design decisions and trade-offs clearly to non-technical stakeholders
Tips for Your Remote Applied Scientist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote applied scientist openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through unrelated listings.
Build a public portfolio of model work
Remote hiring managers can't watch you work, so documented outputs matter more than credentials. Publish reproducible notebooks, write up experiment results, or contribute to open-source ML libraries to give reviewers concrete evidence of your applied work.
Show async communication skills explicitly
Remote applied scientist teams run on written communication. Include examples of technical design docs, research write-ups, or async project updates you've authored, because remote employers screen for the ability to move projects forward without synchronous check-ins.
Target remote-first companies over remote-optional ones
Remote-first firms have built their entire research and engineering workflow around distributed work, so applied scientists there have full access to data, compute, and team context without fighting office-centric processes. Look for companies where remote is the stated default, not a policy exception.
Prepare for async-heavy remote interview loops
Many remote applied scientist interviews include a take-home modeling challenge or a written technical brief reviewed before any live call. Practice explaining your approach clearly in writing and be ready to walk through your methodology in a recorded or video session with minimal back-and-forth.
Remote Applied Scientist Jobs: Frequently Asked Questions
How do I get a remote applied scientist job?
Target companies with established remote engineering cultures, such as remote-first SaaS firms and distributed research teams, where async collaboration is already the norm. Remote employers screen heavily for self-direction, clear written communication, and the ability to scope and execute projects without daily oversight. Demonstrating published work, open-source contributions, or documented model results gives you a concrete edge over candidates with equivalent credentials but no visible output.
Which companies hire remote applied scientists?
Employers currently hiring remote applied scientists include CVS Health, Alvarez & Marsal, and Optum, per current remote listings on Migrate Mate as of June 2026. Remote applied scientist roles tend to concentrate at remote-first technology companies, distributed cloud and AI platforms, and large enterprises running global research teams across software, healthcare, and financial services.
Can you get a remote applied scientist job with no experience?
Yes, but remote entry-level applied scientist roles are harder to land because you must demonstrate independence from day one without an in-office team to lean on. Remote-first startups and research-oriented technology companies are the most likely to hire junior applied scientists. A portfolio of documented personal or academic projects, strong Python or ML framework skills, and clear written communication can substitute meaningfully for formal work history.
Do you need a degree for remote applied scientist jobs?
Usually, but not always. Most remote applied scientist postings list a graduate degree in computer science, statistics, or a related field as a preference, not a hard requirement. Remote employers weigh demonstrated technical output, such as published research, open-source model work, or Kaggle results, alongside formal credentials, and a strong practical portfolio can open doors that a degree alone does not.
Which industries hire the most remote applied scientists?
Most remote applied scientist openings sit in Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, per current remote listings on Migrate Mate as of June 2026. Those sectors hire applied scientists remotely because their core research and modeling work is fully portable, making distributed teams a practical default rather than an exception.
See All 240+ Remote Applied Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Applied Scientist Jobs