Remote Scientist Jobs
Remote scientist jobs are open across the U.S. in sectors like biotech, pharmaceuticals, environmental science, and data-driven research, where distributed teams are now a standard operating model. From entry-level research roles to senior principal scientists, employers hiring remotely right now include Alvarez & Marsal, Tiger Analytics, and Zillow. Find a role that fits below and apply directly.
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Showing 5 of 456+ Remote Scientist jobs
JOB TITLE: Senior Data Scientist
LOCATION: Remote
DURATION: Permanent/Direct Hire
RATE RANGE: $125k - $150k
Position Summary:
You will play a leading role in improving data and analytics products and in creating new products and capabilities. This could include adding new data sources, improving our entity resolution and attribution algorithms, and turning one-off client analyses into dashboard features available to every client. It could also mean enhancing visualizations, building and automating prospecting and media mix models, and developing automated recommendations that improve client marketing and application flows. You may design algorithms that optimize ad targeting, ad creative, and website experience.
Responsibilities:
- Invent new solutions for our clients. You will model and optimize the connections and causal relationships that run from an ad's creative all the way to a customer's lifetime value.
- Take models from concept to production, then monitor and improve them as client data and ad platforms change.
- Work with large, multi-source datasets including:
- Real time event data from our data collection tag.
- System of record data from our financial institution clients.
- Click and spend data from our clients’ advertising platforms (Google, Bing, Meta, TikTok, ChatGPT, others).
- Analytics metadata from other client systems including Google Analytics and Hubspot.
- Review model outputs and metrics critically, and catch results that don't add up: unexpected shifts, implausible values, data gaps, leakage or broken assumptions. Then fix or improve the data, logic or models.
- Build, test and evaluate machine learning models for attribution, prediction, and optimization.
- Write clean, reproducible, production-quality Python that teammates can read and maintain.
- Explain findings clearly to technical and non-technical colleagues and clients.
- Learn marketing analytics methods from senior teammates and apply them to real client problems.
QUALIFICATIONS
- Problem Solving & Critical Thinking: Ability to question results, test assumptions, and find out why, with strong attention to detail in data, code, and conclusions.
- Overall Professional Experience: 5+ years of professional experience in data science, quantitative analytics, or machine learning, with a strong track record of independently delivering production-grade solutions.
- Machine Learning & Production Experience: 3–5+ years of hands-on experience designing, training, and monitoring machine learning models (e.g., regression, boosted trees, neural networks) in live production environments.
- Programming & Data Proficiency: 3–5+ years of proficiency in Python data processing and Linux, with demonstrated experience processing and analyzing large real-world datasets.
- Business Impact & Cross-Functional Delivery: 3+ years of proven success aligning technical deliverables with business goals, managing project timelines independently, and communicating complex findings effectively to executive stakeholders and clients.
PREFERRED QUALIFICATIONS:
- Experience with marketing data and ad platforms such as Google Ads and Meta Ads.
- Experience in the financial industry.
- Software engineering experience: version control (Git), testing, code review, QA, and deploying models or dashboards to production.
- Research experience.
Education:
- Master’s or Ph.D. in a quantitative discipline (Data Science, Computer Science, Engineering, Statistics, Mathematics, or a natural science), or a Bachelor's degree with 7+ years of relevant applied experience.
BENEFITS SUMMARY:
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
FAIR CHANCE POLICY:
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. 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, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
JOB TITLE: Senior Data Scientist
LOCATION: Remote
DURATION: Permanent/Direct Hire
RATE RANGE: $125k - $150k
Position Summary:
You will play a leading role in improving data and analytics products and in creating new products and capabilities. This could include adding new data sources, improving our entity resolution and attribution algorithms, and turning one-off client analyses into dashboard features available to every client. It could also mean enhancing visualizations, building and automating prospecting and media mix models, and developing automated recommendations that improve client marketing and application flows. You may design algorithms that optimize ad targeting, ad creative, and website experience.
Responsibilities:
- Invent new solutions for our clients. You will model and optimize the connections and causal relationships that run from an ad's creative all the way to a customer's lifetime value.
- Take models from concept to production, then monitor and improve them as client data and ad platforms change.
- Work with large, multi-source datasets including:
- Real time event data from our data collection tag.
- System of record data from our financial institution clients.
- Click and spend data from our clients’ advertising platforms (Google, Bing, Meta, TikTok, ChatGPT, others).
- Analytics metadata from other client systems including Google Analytics and Hubspot.
- Review model outputs and metrics critically, and catch results that don't add up: unexpected shifts, implausible values, data gaps, leakage or broken assumptions. Then fix or improve the data, logic or models.
- Build, test and evaluate machine learning models for attribution, prediction, and optimization.
- Write clean, reproducible, production-quality Python that teammates can read and maintain.
- Explain findings clearly to technical and non-technical colleagues and clients.
- Learn marketing analytics methods from senior teammates and apply them to real client problems.
QUALIFICATIONS
- Problem Solving & Critical Thinking: Ability to question results, test assumptions, and find out why, with strong attention to detail in data, code, and conclusions.
- Overall Professional Experience: 5+ years of professional experience in data science, quantitative analytics, or machine learning, with a strong track record of independently delivering production-grade solutions.
- Machine Learning & Production Experience: 3–5+ years of hands-on experience designing, training, and monitoring machine learning models (e.g., regression, boosted trees, neural networks) in live production environments.
- Programming & Data Proficiency: 3–5+ years of proficiency in Python data processing and Linux, with demonstrated experience processing and analyzing large real-world datasets.
- Business Impact & Cross-Functional Delivery: 3+ years of proven success aligning technical deliverables with business goals, managing project timelines independently, and communicating complex findings effectively to executive stakeholders and clients.
PREFERRED QUALIFICATIONS:
- Experience with marketing data and ad platforms such as Google Ads and Meta Ads.
- Experience in the financial industry.
- Software engineering experience: version control (Git), testing, code review, QA, and deploying models or dashboards to production.
- Research experience.
Education:
- Master’s or Ph.D. in a quantitative discipline (Data Science, Computer Science, Engineering, Statistics, Mathematics, or a natural science), or a Bachelor's degree with 7+ years of relevant applied experience.
BENEFITS SUMMARY:
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
FAIR CHANCE POLICY:
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. 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, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
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Find Remote Scientist JobsRemote Scientist Job Market
Who's Hiring
- Alvarez & Marsal14
- Tiger Analytics10
- Zillow9
- RTI International7
- Emory University6
Top Industries Hiring
- Technology & Software25
- Consulting & Professional Services21
- Accounting & Auditing14
- Investment & Asset Management14
- Biotechnology & Pharmaceuticals9
What Employers Look For
The qualifications that appear most often in remote scientist jobs.
- Bachelor's, master's, or doctoral degree in a relevant scientific discipline
- Hands-on experience with laboratory instrumentation and standard research protocols
- Proficiency in data analysis software such as R, Python, MATLAB, or equivalent tools
- Familiarity with Good Laboratory Practices and regulatory documentation standards
- Ability to design experiments, interpret results, and communicate findings in written reports
- Experience with peer-reviewed literature review and scientific writing or publication
Tips for Your Remote Scientist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote 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 mixed location results.
Document your independent research workflow
Remote employers want evidence you can drive projects without daily oversight. Write up your methods, decisions, and results from past work as concise case studies, even if the work was academic. Concrete documentation signals the self-direction remote science roles demand.
Sharpen your async written communication
Remote scientist teams run on written updates rather than hallway conversations. Practice summarizing experiment status, data findings, and blockers in tight, clear prose. Comfort with tools like Notion, Confluence, or shared electronic lab notebooks is something remote employers actively screen for.
Target sectors with distributed research teams
Biotech, pharmaceutical, environmental research, and health tech companies have built remote infrastructure for scientific work. Focusing your search on firms in these sectors means you're applying where remote scientist roles already exist, rather than hoping a traditional lab converts.
Remote Scientist Jobs: Frequently Asked Questions
How do I get a remote scientist job?
Target companies with established distributed research teams, such as biotech firms, CROs, and health tech companies that have built remote workflows into their core operations. Remote employers screen heavily for self-direction, async written communication, and proficiency with tools like electronic lab notebooks, collaborative data platforms, and video conferencing. A portfolio of documented research outcomes and clear written summaries of your methods gives you a concrete edge.
Which companies hire remote scientists?
Remote scientist roles are posted by Alvarez & Marsal, Tiger Analytics, and Zillow and others right now, based on current remote listings on Migrate Mate as of November 2026. These include remote-first biotech and pharmaceutical companies, environmental and clinical research organizations, and health tech firms running distributed scientific teams.
Can you get a remote scientist job with no experience?
Yes, but remote entry-level scientist roles are harder to land because employers expect you to work independently from day one without in-person mentorship. Your strongest path is through companies that hire junior researchers onto distributed teams, such as CROs and health tech startups. Demonstrating async communication skills, sharing documented personal or academic projects, and showing comfort with remote research tools can open the door.
Do you need a degree for remote scientist jobs?
Usually, but the weight a remote employer places on a degree depends on the discipline and seniority. Many biotech and environmental roles expect at least a bachelor's in a relevant field, while some data science or computational biology positions weigh demonstrated skills and published or portfolio work equally alongside credentials. Certifications, independent research, and strong written documentation of your methods can offset a non-traditional educational background.
Which industries hire the most remote scientists?
Remote scientist roles concentrate in Technology & Software, Consulting & Professional Services, and Accounting & Auditing, based on current remote listings on Migrate Mate as of November 2026. These sectors hire scientists remotely because their research workflows, data analysis, and regulatory documentation translate well to distributed team structures.
See All 456+ Remote Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
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