Remote Data Scientist Jobs
Remote Data Scientist jobs are open across the U.S. at remote-first firms, distributed tech teams, and data-driven organizations in sectors like software, finance, healthcare, and e-commerce. Employers hiring remotely right now include CVS Health, Tiger Analytics, and Praescient Analytics. Find a role that fits below and apply directly.
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Join Amgen’s Mission of Serving Patients
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Data Scientist
As a Data Scientist, you will design, develop, and implement scalable data engineering, machine learning (ML), and analytics solutions that accelerate Clinical Development and advance therapies for patients.
You will act in support the Center for Design & Analysis, partnering with data scientists and cross-functional teams to translate business requirements into robust data pipelines, analytical tools, and visualization solutions. You will contribute to the implementation and continuous improvement of innovative analytics capabilities, helping to optimize methods, algorithms, and processes while ensuring solutions are reliable, scalable, and aligned with Amgen's quality and compliance standards.
Responsibilities:
- Collaborating with research scientist and other data scientists to develop AI and advanced analytics solution to speed drug research and development.
- Designing, writing, and testing data / ML pipelines and other advanced analytic / visualization solutions
- Collect business requirements / user stories for new or enhancements to existing analytic solutions
- Train users in the use of solutions provided by the CfDA Data Science organization
- Contribute to process improvement initiatives
- Adhere to Amgen Policies, SOPs, and other controlled documents.
- Participate in the development and review of CfDA Data Sciences Policies, SOPs, and other controlled documents.
- Participate in external professional organizations, conferences and/or meetings.
Accountabilities:
- Contribute to the implementation of internally developed and externally provided analytic solutions
- Participate in the development of innovative and effective approaches to solve client's analytics problems and communicate results & methodologies
- Recommend ongoing improvements to methods and algorithms that generate analytic insights
Win
What we expect of you
We are all different, yet we all use our unique contributions to serve patients.
Basic Qualifications
Ph.D. degree
OR
Master’s degree 2 years of related experience
Preferred Qualifications
- MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field.
- A proven ability to write robust code in R / Python
- A working understanding of common machine learning algorithms and approaches (NNs, RF classifiers, Ensemble methods, NLP etc.) and when to use them.
- Proficiency in Linux operating system and associated shell commands.
- Experience working effectively in a globally dispersed team environment.
- Drug Development (pre-, early, late and/or observational) in related industries or academic research)
-
Experience working with:
- Distributed compute / data technology (e.g., Spark, Python Dask)
- DevOps frameworks (e.g., Git)
- Building and deploying analytic solutions in a cloud environment
- Entrepreneurial mindset with ability to self-direct
- A translator able to communicate complex concepts to a non-technical audience
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:
- A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
- A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
- Stock-based long-term incentives
- Award-winning time-off plans
- Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.
and make a lasting impact with the Amgen team.
careers.amgen.com
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Application deadline
Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.
Sponsorship
Sponsorship for this role is not guaranteed.
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Join Amgen’s Mission of Serving Patients
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Data Scientist
As a Data Scientist, you will design, develop, and implement scalable data engineering, machine learning (ML), and analytics solutions that accelerate Clinical Development and advance therapies for patients.
You will act in support the Center for Design & Analysis, partnering with data scientists and cross-functional teams to translate business requirements into robust data pipelines, analytical tools, and visualization solutions. You will contribute to the implementation and continuous improvement of innovative analytics capabilities, helping to optimize methods, algorithms, and processes while ensuring solutions are reliable, scalable, and aligned with Amgen's quality and compliance standards.
Responsibilities:
- Collaborating with research scientist and other data scientists to develop AI and advanced analytics solution to speed drug research and development.
- Designing, writing, and testing data / ML pipelines and other advanced analytic / visualization solutions
- Collect business requirements / user stories for new or enhancements to existing analytic solutions
- Train users in the use of solutions provided by the CfDA Data Science organization
- Contribute to process improvement initiatives
- Adhere to Amgen Policies, SOPs, and other controlled documents.
- Participate in the development and review of CfDA Data Sciences Policies, SOPs, and other controlled documents.
- Participate in external professional organizations, conferences and/or meetings.
Accountabilities:
- Contribute to the implementation of internally developed and externally provided analytic solutions
- Participate in the development of innovative and effective approaches to solve client's analytics problems and communicate results & methodologies
- Recommend ongoing improvements to methods and algorithms that generate analytic insights
Win
What we expect of you
We are all different, yet we all use our unique contributions to serve patients.
Basic Qualifications
Ph.D. degree
OR
Master’s degree 2 years of related experience
Preferred Qualifications
- MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field.
- A proven ability to write robust code in R / Python
- A working understanding of common machine learning algorithms and approaches (NNs, RF classifiers, Ensemble methods, NLP etc.) and when to use them.
- Proficiency in Linux operating system and associated shell commands.
- Experience working effectively in a globally dispersed team environment.
- Drug Development (pre-, early, late and/or observational) in related industries or academic research)
-
Experience working with:
- Distributed compute / data technology (e.g., Spark, Python Dask)
- DevOps frameworks (e.g., Git)
- Building and deploying analytic solutions in a cloud environment
- Entrepreneurial mindset with ability to self-direct
- A translator able to communicate complex concepts to a non-technical audience
What you can expect of us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:
- A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
- A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
- Stock-based long-term incentives
- Award-winning time-off plans
- Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.
and make a lasting impact with the Amgen team.
careers.amgen.com
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Application deadline
Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.
Sponsorship
Sponsorship for this role is not guaranteed.
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
See All 237+ Remote Data Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Data Scientist JobsRemote Data Scientist Job Market
Who's Hiring
- CVS Health21
- Tiger Analytics8
- Praescient Analytics5
- WebstaurantStore4
- Instacart3
Top Industries Hiring
- Technology & Software26
- Healthcare & Medical Services5
- Retail4
- Investment & Asset Management4
- Staffing & Recruiting3
What Employers Look For
The qualifications that appear most often in remote data scientist jobs.
- Proficiency in Python and SQL for data manipulation and analysis
- Experience building and deploying machine learning models in production
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Bachelor's or master's degree in statistics, computer science, or a related quantitative field
- Ability to communicate findings and model results clearly to non-technical stakeholders
- Experience with data visualization tools such as Tableau, Power BI, or Looker
Tips for Your Remote Data Scientist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data scientist openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sorting through non-remote postings mixed in.
Prove async collaboration in your portfolio
Remote data science teams rely on written documentation over verbal walkthroughs. Publish notebooks with clear narrative, version your work in Git, and include a README that explains your decisions, showing hiring managers you communicate findings without a meeting.
Signal remote readiness in your application
Explicitly name the async tools you've used, like Jupyter, dbt, Airflow, or Slack-based data review workflows. Remote employers screen for candidates who already work this way, not ones who need to learn distributed practices on the job.
Prepare to run a live analysis in interviews
Remote data scientist interviews often include a take-home case or live coding session over video. Practice walking through an exploratory analysis out loud while sharing your screen, since your ability to think and communicate simultaneously matters as much as the answer.
Remote Data Scientist Jobs: Frequently Asked Questions
How do I get a remote data scientist job?
Target companies built around distributed teams, since those employers already have the infrastructure and culture for remote data work. Remote hiring screens heavily for self-direction, clear async written communication, and the ability to document your analysis so teammates can follow it without a meeting. A portfolio of end-to-end projects shared publicly, along with fluency in Python or R, SQL, and cloud-based data tools, gives you a concrete edge over candidates who rely on in-office collaboration to fill gaps.
Which companies hire remote data scientists?
Companies hiring remote data scientists right now include CVS Health, Tiger Analytics, and Praescient Analytics, based on current remote listings on Migrate Mate as of August 2026. Remote-first technology firms, distributed fintech platforms, and healthcare analytics companies are among the most active employers for this role.
Can you get a remote data scientist job with no experience?
Yes, but remote entry-level data scientist roles are harder to land because you're expected to work independently from day one without on-site mentorship. Companies that hire entry-level remote data scientists tend to be mid-size SaaS or analytics firms with structured onboarding. A strong GitHub portfolio, a completed end-to-end project with documented methodology, and demonstrated comfort with async collaboration tools can substitute for formal work history.
Do you need a degree for remote data scientist jobs?
Not always. Many remote employers care more about what you can demonstrate than the credential behind it. A portfolio showing real modeling work, Kaggle competition results, or open-source contributions carries significant weight. That said, roles at larger or more regulated organizations, particularly in healthcare or finance, often list a bachelor's or master's as a baseline requirement for compliance or team-structure reasons.
Which industries hire the most remote data scientists?
The sectors hiring the most remote data scientists are Technology & Software, Healthcare & Medical Services, and Retail, based on current remote listings on Migrate Mate as of August 2026. These industries rely on distributed data teams to build models, run experiments, and surface insights without requiring analysts to be co-located with the business.
See All 237+ Remote Data Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Data Scientist Jobs