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Data Scientist R Remote Jobs in Missouri (NOW HIRING)

Cliftonlarsonallen

Data Analyst Senior

Saint Louis, MO · On-site +1

$83K - $105K/yr

... language like R or Python. The Data Analyst Senior cleans up data for analysis and/or visual ... Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. #LI ...

Cliftonlarsonallen

Data Analyst Senior

Kansas City, MO · On-site +1

$83K - $105K/yr

... language like R or Python. The Data Analyst Senior cleans up data for analysis and/or visual ... Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. #LI ...

nimble

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a ... Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want ... Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of ...

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

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

UMB Financial

Data Product Manager

Kansas City, MO · On-site +1

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Work closely with data engineering, data science, data governance, and platform teams to develop ...

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) - Senior

Saint Louis, MO · On-site +1

$89K - $121K/yr

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

Kohl's

$165K - $212K/yr

Build and scale data science capabilities, including machine learning, AI-driven solutions, and advanced analytics to optimize retail operations and customer engagement * Partner with business units ...

Kohl's

$58.50 - $75.25/hr

Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent practical experience. * 7+ years of experience in data architecture, data ...

kgs

Data Analyst I

Kansas City, MO · On-site +1

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools ... Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an ...

kgs

Data Analyst I

Kansas City, MO · On-site +1

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools ... Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an ...

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All JobsData Scientist R Remote JobsData Scientist R Remote Jobs in Missouri

Data Scientist R Remote information

What are Data Scientist R Remote jobs?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

How does a remote Data Scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

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

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

What is the difference between Data Scientist R Remote vs Data Analyst R Remote?

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

What are popular job titles related to Data Scientist R Remote jobs in Missouri? For Data Scientist R Remote jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Missouri look for? The top searched job categories for Data Scientist R Remote jobs in Missouri are:
What cities in Missouri are hiring for Data Scientist R Remote jobs? Cities in Missouri with the most Data Scientist R Remote job openings:
Data Scientist R Remote jobs near you
Data Analyst - GEOINT Technical SME

Data Analyst - GEOINT Technical SME

SAIC

Saint Louis, MO • Remote

Other

Posted 13 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

70th of 204 rated it services

Job description

Job ID: 2612180
Location: St. Louis, MO, US
Date Posted: 2026-05-05
Category: Information Technology
Subcategory: Metrics and Data
Schedule: Full-Time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS.SCI
Clearance Level Must Be Able to Obtain: TS/SCI with Poly
Potential for Remote Work: ORA_ON_SITE
Description
The Data Analyst - GEOINT Technical SME applies their technical and analytical capabilities to support key business and security objectives. This role involves collaborating with stakeholders to clarify requirements, develop and maintain analytical models, and transforming data into actionable insights. The contractor must be a proficient problem-solver, capable of working both independently and collaboratively to contribute to projects that enhance organizational efficiency and support insider threat mitigation programs.
Work will be performed at the customer site in St. Louis, MO.
The hiring of this position in contingent upon contract award. Anticipated award is fall of 2026.
Duties May Include:
  • Data Analysis and Visualization: Develop data analytics and visualizations by applying proven, industry-standard data science principles and techniques. Create and edit visual content, including charts, graphs, and dashboards, to transform quantitative and qualitative data sets into compelling and understandable visuals
  • Business Process Improvement: Collaborate with project requestors, stakeholders, and project managers to refine project requests and clarify business needs and objectives. Use data analytics to form business insights, identify issues, and recommend effective ways to boost organizational efficiency
  • Analytical Model Support: Integrate, develop, and maintain analytic models, visualizations, and tools designed to deter, detect, and mitigate insider threats. Support the sustainment of risk scoring tools and other data analysis implementations by identifying and helping to resolve system errors and failures
  • Stakeholder Collaboration: Work closely with subject matter experts to learn about specific products and processes. Support the preparation of reports and briefs on analyses and dashboard functionality for various internal teams
  • Data and Metrics Management: Capture, maintain, and accumulate statistics that show quantities and timelines for key processes, such as data transfers between domains, to support system integrity and performance monitoring
  • Policy and Communications Support: Assist in supporting Policy Business Operations, including policy development, review, and coordination. Contribute to the creation and revision of technical documents, reports, and communications products, ensuring they integrate a common message

Qualifications
Required Skills:
Education: A minimum of a Bachelor's Degree in Data Science, Statistics, Business, or a related field
Experience:
  • 6+ years Proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context. Experience developing data analytics and visualizations using standard data science practices. In lieu of a degree, 10+ years of experience
  • Demonstrated ability to use data to form business insights, draw logical conclusions, and contribute to performance-improving strategies
  • Experience in collaborating with stakeholders to clarify project needs and business objectives
    Familiarity with the concepts of analytical model development and maintenance
  • Strong organizational and communication skills, with the ability to work effectively in a team-oriented environment
  • Proficiency in creating and editing visual content such as charts and graphs to represent data
  • At least 12 months demonstrated experience in one or more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS Imagine, Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and FrameMaker
  • Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python
  • Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization

Desired Skills:
  • Experience supporting insider threat, risk scoring, or similar security-focused analytics programs
  • Experience with policy development or process improvement initiatives
  • Familiarity with GEOINT analysis software or Customer-specific applications

SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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