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Remote Chemistry Data Science Jobs (NOW HIRING)

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 Scientist | Upto $100/hr

New York, NY · Remote

$100/hr

... Data Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week ... Chemistry , Mathematics , Materials Science , or other STEM background. * Demonstrated technical ...

Wood Plc

Environmental Chemist

Portland, ME · On-site +1

Analytical data validation, data review and data quality report writing * Analytical chemistry ... BA or BS in Chemistry or related science * Familiarity with Microsoft Word and Excel. Access and/or ...

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 ...

Mat3ra

Head of Engineering

Walnut Creek, CA · On-site +1

$130K - $200K/yr

Overview We look for Senior Engineers excited about bridging the gap between materials/chemistry, data science, and computer science to help us develop a software framework for designing and ...

Mat3ra

Lead Software Engineer (Node.js)

Walnut Creek, CA · On-site +1

$120K - $180K/yr

Overview We look for Senior Engineers excited about bridging the gap between materials/chemistry, data science, and computer science to help us develop a software framework for designing and ...

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 ...

Mat3ra

Lead Software Engineer (Node.js)

Walnut Creek, CA · On-site +1

$120K - $180K/yr

Overview We look for Senior Engineers excited about bridging the gap between materials/chemistry, data science, and computer science to help us develop a software framework for designing and ...

Mat3ra

Cloud HPC Engineer

Walnut Creek, CA · On-site +1

$130K - $200K/yr

S. for materials RnD ( and looking for Senior Engineers excited about bridging the gap between materials/chemistry, data science, and computer science to help us develop a software framework for ...

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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Remote Chemistry Data Science information

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$37.5K

$122.7K

$196.5K

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

As of Jun 23, 2026, the average yearly pay for remote chemistry data science 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 a Remote Chemistry Data Scientist?

A Remote Chemistry Data Scientist is a professional who uses data science techniques to analyze and interpret chemical data, all while working remotely. They apply statistical modeling, machine learning, and computational methods to solve problems in chemistry, such as predicting chemical properties or optimizing experiments. These professionals often collaborate with chemists, researchers, and engineers to extract actionable insights from large datasets. Working remotely allows them to perform these tasks from anywhere, using digital communication and collaboration tools.

What is the difference between Remote Chemistry Data Science vs Remote Chemical Engineering Data Science?

AspectRemote Chemistry Data ScienceRemote Chemical Engineering Data Science
Required CredentialsBachelor's or Master's in Chemistry, Data Science skillsBachelor's or Master's in Chemical Engineering, Data Science skills
Work EnvironmentResearch labs, pharmaceutical companies, biotech firmsManufacturing plants, process industries, chemical companies
Employer & Industry UsageResearch & development, product formulation, quality controlProcess optimization, safety analysis, plant operations
Common Search & Comparison IntentUnderstanding roles in chemistry-focused data science jobsExploring data science roles in chemical engineering contexts

Remote Chemistry Data Science focuses on applying data analysis to chemical research, product development, and quality control within chemistry-related industries. In contrast, Remote Chemical Engineering Data Science emphasizes process optimization and plant operations in chemical manufacturing. While both roles require data science skills and chemistry or engineering backgrounds, their work environments and industry applications differ significantly.

What are the key skills and qualifications needed to thrive as a Remote Chemistry Data Scientist, and why are they important?

To thrive as a Remote Chemistry Data Scientist, you need a strong background in chemistry, data analysis, and statistical modeling, often supported by an advanced degree in chemistry, data science, or related fields. Familiarity with programming languages like Python or R, cheminformatics tools, and data visualization platforms is typically required. Excellent problem-solving, communication, and self-motivation skills help you manage remote work, collaborate with interdisciplinary teams, and explain complex findings clearly. These capabilities are crucial for deriving actionable insights from chemical data and driving innovation in research and industry from a remote setting.

How do remote Chemistry Data Science professionals typically collaborate with laboratory teams and other stakeholders?

Remote Chemistry Data Science professionals often collaborate with laboratory teams and other stakeholders through virtual meetings, cloud-based data sharing platforms, and project management tools. Effective communication is key, as they translate complex data analyses into actionable insights for researchers and management. Regular check-ins, collaborative documentation, and participation in virtual lab discussions help ensure alignment on project goals and timelines. Building strong relationships remotely can be a challenge, but leveraging digital collaboration tools and proactive communication helps maintain productivity and teamwork.
More about Remote Chemistry Data Science jobs
What cities are hiring for Remote Chemistry Data Science jobs? Cities with the most Remote Chemistry Data Science job openings:
What are the most commonly searched types of Chemistry Data Science jobs? The most popular types of Chemistry Data Science jobs are:
What states have the most Remote Chemistry Data Science jobs? States with the most job openings for Remote Chemistry Data Science jobs include:
What job categories do people searching Remote Chemistry Data Science jobs look for? The top searched job categories for Remote Chemistry Data Science jobs are:
Remote Chemistry Data Science jobs near you
Director, Data Science: Data Science Tools

Director, Data Science: Data Science Tools

Liberty Mutual

Columbus, OH • On-site, Remote

$120K - $257K/yr

Full-time

Posted 7 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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