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Data Science Co Op Remote Jobs (NOW HIRING)

Nlign Analytics, Inc.

AI/ML Engineer Co-Op

Blue Ash, OH · On-site +1

Preferred fields include Computer Science, Computer Engineering, or equivalent. * Strong oral and ... data. Working at NLign: At NLign, you'll be a part of a fast-growing organization that combines a ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

... for remote locations. ** Are you looking to develop your Data Scientist career? Do you enjoy ... coaching others to achieve high standards? Join us in shaping a more just world. About Us

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 ...

Tamr

Marketing Co-Op 2026 (H2)

Cambridge, MA · Remote

$30 - $35/hr

Tamr offers an AI-native Master Data Management (MDM) platform designed to help enterprises create ... The marketing team is looking to hire an energetic and well-organized marketing Co-op student. In ...

New

NLign Analytics

AI/ML Engineer Co-Op

Cincinnati, OH · On-site +1

$16 - $21/hr

Preferred fields include Computer Science, Computer Engineering, or equivalent. * Strong oral and ... data. Working at NLign: At NLign, you'll be a part of a fast-growing organization that combines a ...

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 ...

Premise Health

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

This is a Full Time, remote, Data Science Analyst role. What You'll Do * Analysis, Model Development & AI Solutions: * Perform exploratory data analysis to identify patterns and opportunities in ...

Paylocity

Manager Data Science

This is a fully remote position, allowing you to work from home or location of record within the U ... Manager Data Science Position Overview The Paylocity Data Science team is focused on building ...

Lehigh University

$67K - $90K/yr

Design and scale high-impact internship and co-op opportunities by analyzing workforce trends and ... data analytics, consulting, life sciences, public health agencies, startups, or health-focused ...

College Board

Senior Data Scientist

Candidates who live near CB offices have the option of being fully remote or hybrid (Tuesday and Wednesday in office). Type: This is a full-time position About the Team The Data Science team provides ...

Blend

Data Science Manager

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. Founded in 2016, the company is ...

Fortive

Field Service Engineer Co Op

$25/hr

... co-op opportunity. This position offers a unique chance to gain comprehensive exposure to our ... Domestic travel (car/flight) to manufacturing sites to collect alignment measurement data using ...

Corvel

Data Science Manager

Irvine, CA · On-site +1

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build ...

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Data Science Co Op Remote information

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How much do data science co op remote jobs pay per year?

As of Jun 20, 2026, the average yearly pay for data science co op remote in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Science Co Op Remote vs Data Analyst Intern Remote?

AspectData Science Co Op RemoteData Analyst Intern Remote
Required CredentialsEnrolled in or recent graduate of a data-related program, some programming skillsEnrolled in or recent graduate of a data, statistics, or related program, basic analytical skills
Work EnvironmentRemote, collaborative team projects, mentorship opportunitiesRemote, focused on data analysis tasks, supervised by analysts or managers
Employer & Industry UsageTech, finance, healthcare companies offering structured co-op programsVarious industries, often as part of internship programs for entry-level experience

The main difference is that Data Science Co Op Remote roles focus on developing data science skills, including programming and modeling, while Data Analyst Intern Remote positions emphasize data analysis and reporting. Both are remote, entry-level roles that provide valuable industry experience, but they target different skill sets within the data field.

What types of projects can a Data Science Co-Op expect to work on in a remote setting?

As a remote Data Science Co-Op, you will typically contribute to projects involving data cleaning, exploratory data analysis, and building predictive models under the guidance of senior team members. You may also assist in developing dashboards, automating data pipelines, or researching new data sources depending on the team's current priorities. Collaboration is often facilitated through virtual meetings, code reviews, and shared documentation platforms, allowing you to work closely with data scientists, engineers, and business analysts despite the remote environment.

What is a Data Science Co-Op Remote position?

A Data Science Co-Op Remote position is a temporary, paid internship where students or early-career professionals work remotely to gain hands-on experience in data science. Co-ops typically last several months and allow participants to work on real-world projects involving data analysis, machine learning, and data visualization. These roles help individuals build practical skills, expand their professional network, and often fulfill academic program requirements. Remote positions allow for flexible work arrangements, enabling participants to collaborate virtually with teams from anywhere.

What are the key skills and qualifications needed to thrive as a Data Science Co-Op (Remote), and why are they important?

To thrive as a Data Science Co-Op (Remote), you need a strong foundation in statistics, programming (Python or R), and data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like Jupyter Notebook, SQL, version control (Git), and cloud platforms, as well as exposure to machine learning frameworks, is highly valuable. Strong communication, problem-solving abilities, and self-motivation are essential soft skills for collaborating effectively in a remote and often cross-functional environment. These skills and qualities enable you to contribute meaningful insights, adapt to remote workflows, and drive impactful data-driven solutions.
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Data Science Co Op Remote jobs near you
Director, Data Science: Data Science Tools

Director, Data Science: Data Science Tools

Liberty Mutual

Seattle, WA • On-site, Remote

$120K - $257K/yr

Full-time

Posted 4 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

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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