... Scientist to join the Data Science Tools team. This role will focus on improving the end-to-end ... Otherwise, this role is remote with occasional travel. ** Responsibilities: * Design and build ...
... Scientist to join the Data Science Tools team. This role will focus on improving the end-to-end ... Otherwise, this role is remote with occasional travel. ** Responsibilities: * Design and build ...
Staff Data Scientist, Ads Delivery
Seattle, WA · On-site +1
$164K - $339K/yr
We are looking for a Staff Data Scientist for our Ads Delivery. You will shape the future of people ... REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for ...
Staff Data Scientist, Ads Delivery
Seattle, WA · On-site +1
$164K - $339K/yr
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Expert Data Scientist - EHS
Renton, WA · On-site +1
Expert Data Scientist - EHS Company: The Boeing Company Boeing Commercial Airplanes (BCA) is looking for an Expert Data Scientist to join our Environment, Health, and Safety (EHS)organization , with ...
Expert Data Scientist - EHS
Renton, WA · On-site +1
Expert Data Scientist - EHS Company: The Boeing Company Boeing Commercial Airplanes (BCA) is looking for an Expert Data Scientist to join our Environment, Health, and Safety (EHS)organization , with ...
Expert Data Scientist - EHS
Renton, WA · On-site +1
Expert Data Scientist - EHS Company: The Boeing Company Boeing Commercial Airplanes (BCA) is looking for an Expert Data Scientist to join our Environment, Health, and Safety (EHS)organization , with ...
Expert Data Scientist - EHS
Renton, WA · On-site +1
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In this fully remote role, you will work alongside leading researchers to transform emerging AI and ... Data Science, Experimentation & Model Evaluation (5-7 years) - Design experiments, build evaluation ...
Quick apply
In this fully remote role, you will work alongside leading researchers to transform emerging AI and ... Data Science, Experimentation & Model Evaluation (5-7 years) - Design experiments, build evaluation ...
Data Science & Analysis - AI Training - Seattle, US
Seattle, WA · On-site +1
$80/hr
Data Science & Analysis - AI Training About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI ...
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Data Science & Analysis - AI Training - Seattle, US
Seattle, WA · On-site +1
$80/hr
Data Science & Analysis - AI Training About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI ...
Data Analyst (Remote)
Seattle, WA · On-site +1
Data Analyst Location: Remote project Duration: 6-12 months Responsibilities * Deep data and ... Collaborate closely with Data Engineering and Data Sciences teams to incorporate their expertise ...
Data Analyst (Remote)
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Bellevue, WA · On-site +1
$132K - $264K/yr
As a Staff Data Scientist, you will help design, prototype, build, deploy, and improve next-generation intelligent systems that blend software, models, and automation into cohesive, adaptive ...
(USA) Staff, Data Scientist
Bellevue, WA · On-site +1
$132K - $264K/yr
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We seek a Senior ML Scientist to drive innovation in AI MLbased dynamic pricing algorithms and ... Proficiency in handling tabular data including sparsity cardinality analysis standardization and ...
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Senior Manager, Research Science * Research and develop advanced MLLMs, GenAI, and Computer Vision ... Design and implement efficient and scalable MLLM models for inference and analysis of visual data.
AI Scientist I
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Senior AI/ML Applied Scientist - Remote
Bellevue, WA · On-site +1
$130K - $162K/yr
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Senior AI/ML Applied Scientist - Remote
Bellevue, WA · On-site +1
$130K - $162K/yr
From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of ... We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We ...
Senior AI/ML Applied Scientist - Remote
Bellevue, WA · On-site +1
$130K - $162K/yr
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Machine Learning Scientist II - Whole Trip AI
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Machine Learning Scientist II - Whole Trip AI
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This role is ideal for a data scientist who enjoys working at the edge of model behavior, cares deeply about safety and robustness, and wants to apply scientific rigor to securing real-world AI ...
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AI Engineer - Machine Learning 3
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Quick apply
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Sunnyvale, CA · On-site +1
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Remote Data Scientist information
See Renton, WA salary details
$42.4K - $58.7K
2% of jobs
$58.7K - $75K
3% of jobs
$75K - $91.3K
6% of jobs
$91.3K - $107.7K
9% of jobs
$112.9K is the 25th percentile. Wages below this are outliers.
$107.7K - $124K
15% of jobs
The median wage is $134.9K / yr.
$124K - $140.3K
22% of jobs
$149.3K is the 75th percentile. Wages above this are outliers.
$140.3K - $156.6K
32% of jobs
$156.6K - $173K
3% of jobs
$173K - $189.3K
4% of jobs
$189.3K - $205.6K
1% of jobs
$205.6K - $221.9K
2% of jobs
$42.4K
$138.6K
$221.9K
How much do remote data scientist jobs pay per year?
What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?
Can a data scientist work remotely?
What Is the Job of a Remote Data Scientist?
Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.
How can I make 2000 a week working from home?
What are remote data scientists?
Is 40 too late for data science?
How does a remote data scientist typically collaborate with team members across different time zones?
What is the difference between Remote Data Scientist vs Remote Data Analyst?
| Aspect | Remote Data Scientist | Remote Data Analyst |
|---|---|---|
| Required Credentials | Degree in Data Science, Statistics, or related field; often requires programming skills in Python or R | Degree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools |
| Work Environment | Research-focused, developing models, machine learning, and predictive analytics | Data interpretation, reporting, and visualization to support business decisions |
| Employer & Industry Usage | Tech companies, finance, healthcare, and e-commerce | Retail, marketing, finance, and consulting firms |
Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.
How can I make $100,000 a year working from home?

Sourcing - Director, Data Science: Data Science Tools
Seattle, WA • On-site, Remote
Full-time
Posted 16 days ago
Job description
The Data Science Infrastructure organization within USRM is hiring a Senior Technical Professional, Data Scientist to join the Data Science Tools team. This role will focus on improving the end-to-end modeling workflow for USRM Data Science by building internal tools, pipelines, and applications that streamline model development, evaluation, deployment, and iteration. The ideal candidate is highly technical, proactive, and motivated by building systems that help other data scientists work more efficiently.
**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. **
Responsibilities:
- Design and build internal tools, pipelines, and applications that improve model development, evaluation, and deployment
- Own strategy and roadmaps for improving data science workflows and tooling across USRM
- Design, build, and maintain Python packages used across the organization
- Evaluate and implement AI agent capabilities in tooling using approaches such as MCP, RAG, PydanticAI, LangChain, or related frameworks
- Work with workflow and modeling tools such as Luigi, Airflow, Celery, MLflow, H2O, scikit-learn, Optuna, and LightGBM, as well as Python development tools such as Pydantic, FastAPI, uv, ruff, and pytest
- Promote MLOps and AI agent best practices in collaboration with groups such as Enterprise Data & Data Science
- Stay current on developments in open-source data science frameworks, MLOps, and agentic coding practices
- Help shape the direction of the Tools team and contribute to a culture of ownership, collaboration, and continuous improvement
The ideal candidate will have:
- Professional experience building and maintaining Python-based data science or Machine Learning tooling used by multiple end users or teams
- Worked with any of the following in a professional setting: Git, Bash/shell scripting, uv, pre-commit, ruff, pytest, or Pydantic
- Built, deployed, or maintained workflows or pipelines using any of the following: Airflow, Luigi, Celery, Databricks, or MLflow
- Implemented or supported AI/LLM-based tooling using frameworks such as PydanticAI, LangChain, MCP, or RAG
- Developed, reviewed, or maintained internal Python packages, APIs, or data science applications using tools such as FastAPI, Streamlit, Dash, NiceGUI, or Plotly
- Applied agentic AI techniques in day-to-day development and incorporate AI capabilities directly into tools and applications where they create meaningful value for data scientists
- Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
- Advanced knowledge of predictive toolset; reflects as expert resource for tool development.
- Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
- Ability to establish and build relationships within and outside the organization.
- Ability to give effective training and presentations to management and other groups.
- Ability to use results of analysis to persuade team, department management or senior management to a particular course of action.
- Broad knowledge of business drivers and market context.
- Has a value driven perspective with regard to understanding of work context and impact.
- Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience.
Employees may apply for a new role after completing 12 months of employment in their current position.
Employees should review all role requirements and apply only for positions for which they are eligible. Hiring processes may vary by country, including differences in procedures, requirements, and timelines. For country-specific details, please consult your local recruiting / HR team.
About UsPay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/BenefitsLiberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.Fair Chance Notices
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