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Remote Data Science Jobs in St Louis, MO (NOW HIRING)

Stride, Inc.

High School Science Teacher

Saint Louis, MO · Remote

$47K - $60K/yr

This position is remote and strongly prefers candidates that reside in Missouri. May consider ... Student success will be measured by valid and reliable assessment data, parent and student ...

Stride, Inc.

High School Science Teacher

Saint Louis, MO · Remote

$47K - $60K/yr

This position is remote and strongly prefers candidates that reside in Missouri. May consider ... Student success will be measured by valid and reliable assessment data, parent and student ...

GRVTY

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site +1

$160K - $190K/yr

Assess potential differences in metadata, data format, and data structure characteristics in regard ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Koantek

Senior AI Engineer

Chesterfield, MO · Remote

$54.75 - $70.50/hr

Sr AI Engineer / Data Scientist / MLOps Consultant Location: United States - Remote Employment Type: Full-Time and Contract We are seeking an experienced and highly technical Data Scientist to join ...

GRVTY

Imagery Scientist (EO)- Expert

Saint Louis, MO · On-site +1

$180K - $210K/yr

Data formats * APIs and ETL processes * Existing operational pipelines * Develop strategies to ... science experience * Demonstrated expertise in: * EO collection systems * Remote sensing ...

Campbell Law LLC

Trial Scientist

Saint Louis, MO · Remote

$150K - $275K/yr

Trial Scientist Location: 100% Remote (Work from anywhere with some optional travel to cases or ... At Campbell Law, we didn't just adopt the field of using empirical, big-data studies to refine ...

Kobie Marketing

Director, Product

Saint Louis, MO · Remote

$238K - $249K/yr

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... Partner with Data Engineering and Data Science to ensure AI and ML outputs -- propensity models ...

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Showing results 21-40

All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in St. Louis, MO

Remote Data Science information

See St Louis, MO salary details

$22.5K

$100.3K

$191.3K

How much do remote data science jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote data science in St. Louis, MO is $100,268.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,793.00 and $139,074.00 per year, depending on experience, location, and employer.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

What are the most commonly searched types of Data Science jobs in St. Louis, MO?

The most popular types of Data Science jobs in St. Louis, MO are:

What are popular job titles related to Remote Data Science jobs in St. Louis, MO?

For Remote Data Science jobs in St. Louis, MO, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in St. Louis, MO look for?

The top searched job categories for Remote Data Science jobs in St. Louis, MO are:

What cities near St. Louis, MO are hiring for Remote Data Science jobs?

Cities near St. Louis, MO with the most Remote Data Science job openings:

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in St. Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $100,268 per year, or $48.2 per hour.

Data Analyst - Remote / Telecommute

CYNET SYSTEMS

Saint Louis, MO • Remote

$50 - $55/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 27 days ago

Job description

Job Overview:

Pay Range $50hr - $55hr

Requirement/Must Have:

  • 1+ years of experience as a Data Analyst.
  • Experience with data modeling.

Responsibilities:

  • Work with Data modeler to develop conceptual, logical, and physical data models aligned with IBM UDMH.
  • Create source-to-target mapping documents and data lineage documentation.
  • Extend IBM UDMH models to fit customer requirements.
  • Conduct comprehensive data profiling across systems like Epic, Cerner, Athena, and Oracle FDI.
  • Assess data granularity, quality, volume, and frequency.
  • Work with cross-functional teams to gather requirements and define subject-area models.
  • Align with data modeling standards and naming conventions.
  • Document metadata and maintain governance protocols.

Nice to Have:

  • RCM experience as a Data Analyst.
  • Data Modeling experience.

Skills:

  • Experience with ER/Studio, ERwin, PowerDesigner for modeling.
  • Use SQL, Python, and Unix for ETL scripting and data transformation.
  • Familiarity with Snowflake, Hadoop, Spark, and cloud platforms like GCP.

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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