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Work From Home Data Science Jobs (NOW HIRING)

The Jernigan Agency

WORK FROM HOME

Columbia, MO · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

The Jernigan Agency

WORK FROM HOME

Manitou Springs, CO · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

The Jernigan Agency

WORK FROM HOME

Asheboro, NC · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

The Jernigan Agency

WORK FROM HOME

Miami, FL · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

The Jernigan Agency

WORK FROM HOME

Hialeah, FL · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

The Jernigan Agency

WORK FROM HOME

Austin, TX · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

The Jernigan Agency

WORK FROM HOME

Winter Park, FL · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

Adswerve, Inc

Data Scientist 1

$95K - $115K/yr

College degree in Computer Science, Information Science or related field preferred - OR ... Summer Fridays * "Work From Home Light" days between Christmas and New Year's Day * 401(k) Plan ...

The Jernigan Agency

WORK FROM HOME

Stamford, CT · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

The Jernigan Agency

WORK FROM HOME

Lakewood, CO · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

The Jernigan Agency

WORK FROM HOME

Charleston, SC · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

The Jernigan Agency

WORK FROM HOME

Boulder, CO · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

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Work From Home Data Science information

What is the 80 20 rule in data science?

The 80/20 rule in data science states that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What are the key skills and qualifications needed to thrive as a Work From Home Data Scientist, and why are they important?

To thrive as a Work From Home Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of machine learning frameworks are typically required. Excellent communication, self-motivation, and effective time management are vital soft skills for collaborating remotely and meeting project deadlines. These skills and qualities are essential to deliver actionable insights, build predictive models, and succeed in a remote, independent work environment.

Can you work from home with data science?

Work from home data science roles are common and often involve tasks such as data analysis, modeling, and programming using tools like Python or R. These positions typically require strong communication skills, a reliable internet connection, and familiarity with collaboration platforms like Slack or Zoom.

Is 30 too late for data science?

Work from home data science roles are accessible at any age, including at 30, as long as candidates have relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance employability regardless of age.

What are some common challenges faced by work-from-home data scientists, and how can they overcome them?

Work-from-home data scientists often encounter challenges such as limited face-to-face collaboration, managing large datasets remotely, and maintaining clear communication with cross-functional teams. To overcome these, it's important to leverage collaborative tools (like Slack, Zoom, and version control platforms), establish regular check-ins, and document your work thoroughly. Building a structured daily routine and setting clear goals can also help maintain productivity and ensure alignment with team objectives.

How to make $100,000 a year working from home?

Work from home data science roles can pay $100,000 or more annually, especially with advanced skills in machine learning, statistical analysis, and proficiency in tools like Python or R. Achieving this income often involves gaining experience, building a strong portfolio, and working for companies that offer remote positions or freelance consulting opportunities.

What is the difference between Work From Home Data Science vs Data Analyst?

AspectWork From Home Data ScienceData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often some programming skillsBachelor's in Statistics, Mathematics, or related fields; some roles may require programming knowledge
Work EnvironmentRemote, flexible hours, often collaborative via online toolsRemote or on-site, depending on employer; similar remote options increasing
Employer & Industry UsageTech companies, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Work From Home Data Science roles focus on building models, machine learning, and advanced analytics, requiring programming skills. Data Analysts interpret data, generate reports, and support decision-making. Both roles can be remote, but Data Science often involves more technical expertise and complex data handling.

What is a work from home data science job?

A work from home data science job involves analyzing and interpreting complex data to help organizations make informed decisions, all while working remotely. Data scientists in these roles use programming, statistical analysis, and machine learning techniques to extract insights from large datasets. Typical responsibilities include data cleaning, model building, and presenting findings to stakeholders. Remote data science positions offer flexibility, allowing professionals to collaborate virtually with team members and access data securely from any location.
More about Work From Home Data Science jobs
What cities are hiring for Work From Home Data Science jobs? Cities with the most Work From Home Data Science job openings:
What states have the most Work From Home Data Science jobs? States with the most job openings for Work From Home Data Science jobs include:
What job categories do people searching Work From Home Data Science jobs look for? The top searched job categories for Work From Home Data Science jobs are:
Work From Home Data Science jobs near you
Infographic showing various Work From Home Data Science job openings in the United States as of June 2026, with employment types broken down into 62% Full Time, 25% Part Time, and 13% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.
Director, Data Science: Data Science Tools

Director, Data Science: Data Science Tools

Liberty Mutual Insurance

MA • On-site, Remote

$120K/yr

Full-time

Posted 3 days ago

Liberty Mutual rating

8.9

Company rating: 8.9 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

46th of 261 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

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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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