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

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

... Data Science, Systems Biology, or a related quantitative discipline * Strong experience with high-dimensional biological data analysis * Proficiency in R and/or Python for statistical computing and ...

Post Doctoral Fellow

Saint Louis, MO

$47K - $64K/yr

... Data Science, Systems Biology, or a related quantitative discipline * Strong experience with high-dimensional biological data analysis * Proficiency in R and/or Pythonfor statistical computing and ...

Data Modeler

Saint Louis, MO · On-site

$52 - $67.25/hr

Experience in atleast 3 Programming Languages (Java, Scala, Clojure, Python, R, C, C++) App ... Bachelor's degree in Computer Science, MIS, related field or equivalent experience. 3+ years of ...

Data Modeler

Saint Louis, MO · On-site

$52 - $67.25/hr

Experience in atleast 3 Programming Languages (Java, Scala, Clojure, Python, R, C, C++) App ... Bachelor's degree in Computer Science, MIS, related field or equivalent experience. 3+ years of ...

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Showing results 1-20

Data Science R information

See St Louis, MO salary details

$36.5K

$119.3K

$191K

How much do data science r jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data science r in St. Louis, MO is $119,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a Data Science R job?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What are the typical daily tasks for a Data Science R professional in most organizations?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

What cities near St. Louis, MO are hiring for Data Science R jobs? Cities near St. Louis, MO with the most Data Science R job openings:
Infographic showing various Data Science R job openings in St. Louis, MO as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $119,330 per year, or $57.4 per hour.
Sr Analyst Workforce Management

Sr Analyst Workforce Management

Advantage Solutions

Saint Louis, MO

$100K/yr

Other

Posted 29 days ago


Advantage Solutions rating

6.5

Company rating: 6.5 out of 10

Based on 133 frontline employees who took The Breakroom Quiz

31st of 42 rated marketing agency


Job description

Sr Analyst Workforce Management
Job Locations US-MO-St. Louis
Primary Posting Location : City St. Louis
Primary Posting Location : State/Province MO
Primary Posting Location : Postal Code 63100
Primary Posting Location : Country US
Requisition ID 2026-439642
Position Type Full Time
Category Professional: (IT, Finance, Legal, HR, Talent Acquisition, Administrative, Customer Service)
Minimum USD $77,500.00/Yr.
Maximum USD $100,800.00/Yr.
Summary

Sr Analyst Workforce Management

The Sr Analyst Workforce Management will drive the development and implementation of advanced analytics solutions for our 55,000-person frontline workforce. This role bridges traditional workforce analytics with modern data science approaches, leading complex analytical projects and innovating data systems, products, and processes. The ideal candidate will combine strong technical skills with business acumen to deliver impactful solutions that optimize workforce operations and enhance employee experience.

Job Will Remain Open Until Filled

Responsibilities

The Company is one of North America's leading sales and marketing agencies specializing in outsourced sales, merchandising, category management, and marketing services to manufacturers, suppliers, and producers of food products and consumer packaged goods. The Company services a variety of trade channels including grocery, mass merchandise, specialty, convenience, drug, dollar, club, hardware, consumer electronics, and home centers. We bridge the gap between manufacturers and retailers, providing consumers access to the best products available in the marketplace today.

Responsibilities

    Analytical tool development and updating
  • Design and implement advanced analytics solutions, including predictive models and workforce forecasting and optimization
  • Lead complex analytical projects from problem definition through deployment and automation
  • Create scalable analytical frameworks and repeatable methodologies across the workforce lifecycle and throughout Workforce Operations functions
  • Partner with business stakeholders to identify, prioritize, and deliver on analytics opportunities
  • Support and/or lead the design, development, and revision of Power BI dashboards
  • Data science to explore, experiment, and deploy innovative data, metrics, and model solutions
  • Manage and support daily, weekly, and ad hoc analytic and reporting solutions

Supervisory Responsibilities
Direct Reports
This position does not have supervisory responsibilities for direct reports
Indirect Reports
Does not have direct reports, but may delegate work of others and provide guidance, direction, and mentoring to indirect reports.

Travel

Some travel will be required, estimated up to 30%.

Minimum Qualifications
Education Level: Bachelor's degree
Area of Experience: Business, Human Resources, or related field or equivalent experience required
Experience Requirements:

8+ years of experience in data analytics, reporting, or business insights; including 2+ years applying data science

Strong programming skills (SQL, Python, R), including experience with ML libraries
Expertise in data manipulation at scale
Advanced proficiency in data mining (e.g., Databricks) and BI tools (preferably Power BI)
Experience with workforce analytics and planning
Track record of delivering end-to-end analytics projects

Data Engineering: ETL processes, data pipeline development, data quality frameworks

Knowledge, Skills, and Abilities

  • Machine Learning: Experience building and deploying supervised learning models and leveraging generative models
  • Statistical Analysis: Advanced statistical methods, hypothesis testing, experimental design
  • Programming: Python/R proficiency, including visualization libraries
  • BI Development: Complex Power BI development, including DAX and data modeling
  • Data Engineering: ETL processes, data pipeline development, data quality frameworks
  • Workforce operations and reporting, analytics, planning, optimization
  • Analytics Problem Solving: Ability to translate business problems into analytical solutions
  • Stakeholder Management: Strong communication and influence skills

Environmental & Physical Requirements

Office / Sedentary Requirements

Incumbent must be able to perform the essential functions of the job. Work is performed primarily in an office environment. Typically, requires the abilty to sit for extended periods of time (66%+ each day), ability to hear telephone, ability to enter data on a computer and may require the ability to lift up to 10lbs.

Additional Information Regarding Job Duties and Job Descriptions
Job duties include additional responsibilities as assigned by one's supervisor or other manager related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job positions, or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law.

Important Information

The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of associates so classified.

The Company is committed to providing equal opportunity in all employment practices without regard to age, race, color, national origin, sex, sexual orientation, religion, physical or mental disability, or any other category protected by law. As part of this commitment, the Company shall provide reasonable accommodations of known disabilities to enable an applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law.

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