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Remote Data Science Mentor Jobs (NOW HIRING)

iSpot

Manager, Client Data Science

Bellevue, WA · Remote

$136K - $168K/yr

... mentoring and growing three direct reports as well as fostering growth of the entire Data Science ... remote employee. A hybrid work schedule indicates that you work in the office some days and work ...

New

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Expert Professionals -- AI & Data Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of ... Provide direction and guidance to a high-performing data science team; recruit, mentor, and develop ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

Remote Job Summary The future is bright for the Porch Group, and we'd love for you to be a part of ... Provide direction and guidance to a high-performing data science team; recruit, mentor, and develop ...

Mercor

Data Science Manager

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology , statistical inference , and modeling best practices . * Design challenging ...

Engine

Manager, Data Science

$169K - $235K/yr

Lead and mentor a high-performing team of Data Scientists, providing technical guidance and ... Whether you are in one of our amazing offices or fully remote, we'll make sure you have what you ...

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$115K - $139K/yr

Mentor senior engineers, conduct design reviews, and provide technical leadership across teams to ... Bachelor's degree in CS/IT/Data Science or equivalent experience (Master's preferred). * 10+ years ...

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

Mentor senior engineers, conduct design reviews, and provide technical leadership across teams to ... Bachelor's degree in CS/IT/Data Science or equivalent experience (Master's preferred). * 10+ years ...

Merican

Data Science & Machine Learning Engineer

$117K - $140K/yr

Remote, USA (Client Location ZIP: 01730) Duration: 6 Months Contract to Hire We are seeking an ... Ability to mentor junior engineers and contribute to technical design decisions. Preferred ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

Mentor junior data scientists and provide guidance on best practices. * Drive best practices across data science functions. * Set strategy and team direction, with a clear vision for Data Science.

RELX

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

Mentor junior data scientists and provide guidance on best practices. * Drive best practices across data science functions. * Set strategy and team direction, with a clear vision for Data Science.

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Remote Data Science Mentor information

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$41.5K

$142.5K

$201K

How much do remote data science mentor jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote data science mentor in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Science Mentor vs Data Scientist?

AspectRemote Data Science MentorData Scientist
Required CredentialsTypically requires expertise in data science, mentoring experience, and often certifications in data analysis or related fieldsRequires a degree in data science, statistics, computer science, or related fields; certifications are a plus
Work EnvironmentRemote, often freelance or part-time, focused on guiding learners and menteesCan be remote or on-site, involved in analyzing data, building models, and deploying solutions
Employer & Industry UsageUsed by online education platforms, bootcamps, and freelance mentoring servicesEmployed by tech companies, finance, healthcare, and research organizations

The main difference is that a Remote Data Science Mentor primarily provides guidance and mentorship to learners, while a Data Scientist actively analyzes data and develops models within organizations. Mentors focus on education, whereas Data Scientists focus on applying data skills to solve business problems.

More about Remote Data Science Mentor jobs
What cities are hiring for Remote Data Science Mentor jobs? Cities with the most Remote Data Science Mentor job openings:
What are the most commonly searched types of Data Science Mentor jobs? The most popular types of Data Science Mentor jobs are:
What states have the most Remote Data Science Mentor jobs? States with the most job openings for Remote Data Science Mentor jobs include:
What job categories do people searching Remote Data Science Mentor jobs look for? The top searched job categories for Remote Data Science Mentor jobs are:
Remote Data Science Mentor jobs near you
Infographic showing various Remote Data Science Mentor job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
Director, Data Science: Data Science Tools

Director, Data Science: Data Science Tools

Liberty Mutual

Boston, MA • On-site, Remote

$120K - $257K/yr

Full-time

Posted 26 days ago

Liberty Mutual rating

8.9

Company rating: 8.9 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

33rd of 281 rated insurance

Job description


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
Qualifications
  • 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.
About Us

Pay 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/Benefits
Liberty 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

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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