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, Maximus, and Tiger Analytics. Find a role that fits below and apply directly.
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Showing 5 of 282+ Remote Data Scientist jobs
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
JOIN TARGET AS A LEAD DATA SCIENTIST – RECOMMENDATIONS (RecSys)
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Every scientist on Target’s Data Sciences team can expect to do modeling and data science, develop software with highly performant code, elevate Target’s culture, and apply retail domain knowledge.
As a Lead Data Scientist - Recommendations, you will provide technical leadership for the machine learning systems that power Target's digital recommendations and personalization experiences. Working closely with data scientists, engineers, product managers, and business stakeholders, you will identify opportunities to improve guest experiences through recommendation, retrieval, ranking, and personalization solutions at a massive scale.
You will lead the design, development, evaluation, and deployment of machine learning models that influence how millions of guests discover products across Target's digital experiences. Leveraging expertise in machine learning, deep learning, experimentation, and optimization, you will translate ambiguous business challenges into scalable algorithmic solutions that drive measurable guest and business impact. You will be responsible for driving projects from initial problem definition through production deployment and measurement, balancing innovation with operational excellence and long-term maintainability. You will help shape the technical direction of Target's recommendation capabilities, establishing best practices for model development, evaluation, and measurement while influencing decisions across product, engineering, and data science teams.
Beyond delivering solutions, you will mentor and develop other scientists, help raise the technical bar across the organization, and contribute to the growth of Target's data science community through collaboration, thought leadership, and the adoption of emerging machine learning techniques and technologies.
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
About you:
- PhD or MS in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, or a related quantitative field with 2+ years of industry experience
- 5+ years of experience developing machine learning solutions scaling recommendation, personalization, ranking, retrieval, or search machine learning systems
- Experience with reinforcement learning and/or contextual bandit design, implementation, and evaluation
- Experience leading the development, evaluation, and deployment of machine learning solutions and partnering with engineering teams to deliver scalable production systems
- Strong programming skills in Python and SQL; experience with deep learning frameworks such as PyTorch or JAX
- Experience working with large-scale data processing and analytics platforms such as Spark or equivalent
- Deep understanding of machine learning, deep learning, optimization, statistics, probability, and experimental design
- Experience designing, analyzing, and interpreting online experiments and using results to inform product and business decisions
- Demonstrated ability to translate ambiguous business challenges into scalable machine learning solutions
- Demonstrated ability to influence technical direction and drive alignment across product, engineering, and business stakeholders
- Experience leveraging modern AI and generative AI tools to accelerate development, experimentation, and model delivery
- Excellent communication skills with the ability to clearly communicate complex technical concepts to both technical and non-technical audiences
- Strong software engineering fundamentals, including testing, code reviews, documentation, and maintainable system design
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_EAmericans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 10/29/2026Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
JOIN TARGET AS A LEAD DATA SCIENTIST – RECOMMENDATIONS (RecSys)
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Every scientist on Target’s Data Sciences team can expect to do modeling and data science, develop software with highly performant code, elevate Target’s culture, and apply retail domain knowledge.
As a Lead Data Scientist - Recommendations, you will provide technical leadership for the machine learning systems that power Target's digital recommendations and personalization experiences. Working closely with data scientists, engineers, product managers, and business stakeholders, you will identify opportunities to improve guest experiences through recommendation, retrieval, ranking, and personalization solutions at a massive scale.
You will lead the design, development, evaluation, and deployment of machine learning models that influence how millions of guests discover products across Target's digital experiences. Leveraging expertise in machine learning, deep learning, experimentation, and optimization, you will translate ambiguous business challenges into scalable algorithmic solutions that drive measurable guest and business impact. You will be responsible for driving projects from initial problem definition through production deployment and measurement, balancing innovation with operational excellence and long-term maintainability. You will help shape the technical direction of Target's recommendation capabilities, establishing best practices for model development, evaluation, and measurement while influencing decisions across product, engineering, and data science teams.
Beyond delivering solutions, you will mentor and develop other scientists, help raise the technical bar across the organization, and contribute to the growth of Target's data science community through collaboration, thought leadership, and the adoption of emerging machine learning techniques and technologies.
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.
About you:
- PhD or MS in Computer Science, Machine Learning, Statistics, Applied Mathematics, Operations Research, or a related quantitative field with 2+ years of industry experience
- 5+ years of experience developing machine learning solutions scaling recommendation, personalization, ranking, retrieval, or search machine learning systems
- Experience with reinforcement learning and/or contextual bandit design, implementation, and evaluation
- Experience leading the development, evaluation, and deployment of machine learning solutions and partnering with engineering teams to deliver scalable production systems
- Strong programming skills in Python and SQL; experience with deep learning frameworks such as PyTorch or JAX
- Experience working with large-scale data processing and analytics platforms such as Spark or equivalent
- Deep understanding of machine learning, deep learning, optimization, statistics, probability, and experimental design
- Experience designing, analyzing, and interpreting online experiments and using results to inform product and business decisions
- Demonstrated ability to translate ambiguous business challenges into scalable machine learning solutions
- Demonstrated ability to influence technical direction and drive alignment across product, engineering, and business stakeholders
- Experience leveraging modern AI and generative AI tools to accelerate development, experimentation, and model delivery
- Excellent communication skills with the ability to clearly communicate complex technical concepts to both technical and non-technical audiences
- Strong software engineering fundamentals, including testing, code reviews, documentation, and maintainable system design
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_EAmericans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 10/29/2026See All 282+ Remote Data Scientist Jobs
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Find Remote Data Scientist JobsRemote Data Scientist Job Market
Who's Hiring
- CVS Health18
- Maximus6
- Tiger Analytics6
- Block5
- Praescient Analytics5
Top Industries Hiring
- Technology & Software19
- Retail4
- Staffing & Recruiting3
- Healthcare & Medical Services3
- Energy2
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, Maximus, and Tiger Analytics, based on current remote listings on Migrate Mate as of September 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, Retail, and Staffing & Recruiting, based on current remote listings on Migrate Mate as of September 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 282+ Remote Data Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Data Scientist Jobs