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Data Science Jobs in Washington, MO (NOW HIRING)

Lead Data Engineer

O Fallon, MO ยท Hybrid

$95K - $126K/yr

You will partner closely with Product Management, Risk Analytics, Data Science, Architecture, Engineering, and Business stakeholders to transform complex business needs into scalable technical ...

Lead Data Engineer

O Fallon, MO ยท On-site

$95K - $126K/yr

You will partner closely with Product Management, Risk Analytics, Data Science, Architecture, Engineering, and Business stakeholders to transform complex business needs into scalable technical ...

Data Engineer

Chesterfield, MO ยท On-site

$113K - $136K/yr

Experience supporting data science, machine learning, or AI initiatives through data engineering best practices. Everforth Apex is a world-class IT services company that serves thousands of clients ...

Senior Data Engineer

O Fallon, MO ยท On-site

$99K - $134K/yr

Education Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or a related technical field, or equivalent practical experience. Relevant cloud, data ...

United States - Remote Employment Type: Full-Time and Contract We are seeking an experienced and highly technical Data Scientist to join our customer-facing consulting team. This remote role requires ...

Data Engineer - Multiple Positions

Chesterfield, MO ยท Remote

$113K - $136K/yr

Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Experience: 3+ years of experience as a Data Engineer, with proficiency in at least two ...

Pursuing a bachelor's degree or post secondary education in data science or a computer science related field Minimum Physical Requirements: The physical demands described here are representative of ...

New

Quantitative Genetics Co-op

Chesterfield, MO ยท On-site

$22.75 - $47.75/hr

Quantitative Genetics Co-op As a Quantitative Genetics Scientist, you conduct key quantitative genetics discovery research to deliver improved workflows, highquality lines, data packages, and ...

Quantitative Genetics Co-op As a Quantitative Genetics Scientist, you conduct key quantitative genetics discovery research to deliver improved workflows, high-quality lines, data packages, and ...

Sr Data Engineer

Lake Saint Louis, MO ยท On-site

$108K - $130K/yr

Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, related field or equivalent experience. Master's degree in Computer Science or Computer Engineering preferred. 3+ ...

Quantitative Genetics Co-op

Chesterfield, MO ยท On-site

$22.75 - $47.75/hr

Quantitative Genetics Co-op As a Quantitative Genetics Scientist, you conduct key quantitative genetics discovery research to deliver improved workflows, highquality lines, data packages, and ...

Showing results 21-40

Data Science information

See Washington, MO salary details

$33.2K

$108.5K

$173.8K

How much do data science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science in Washington, MO is $108,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,100.00 and $120,300.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What job categories do people searching Data Science jobs in Washington, MO look for?

The top searched job categories for Data Science jobs in Washington, MO are:

What cities near Washington, MO are hiring for Data Science jobs?

Cities near Washington, MO with the most Data Science job openings:

Infographic showing various Data Science job openings in Washington, MO as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $108,543 per year, or $52.2 per hour.

Principle Scientist - Regulatory Toxicology

Bayer CropScience Limited

Chesterfield, MO โ€ข On-site

$115 - $170/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

At Bayer weโ€™re visionaries, driven to solve the worldโ€™s toughest challenges and striving for a world where 'Health for all Hunger for noneโ€™ is no longer a dream, but a real possibility. Weโ€™re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining โ€˜impossibleโ€™. There are so many reasons to join us. If youโ€™re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, thereโ€™s only one choice.

Principle Scientist - Regulatory ToxicologyYOUR TASKS AND RESPONSIBILITIES
  • Develop toxicology testing strategies, experimental programs, and positions to support regulatory submissions and data callโ€‘ins;
  • Provide subjectโ€‘matter expertise for hazard identification and characterization and align approaches with functional and organizational objectives;
  • Evaluate, interpret, and integrate toxicology and exposure data into product development, defense strategies, and regulatory responses;
  • Support the integration and appropriate use of alternative testing methods and explore agentic approaches to optimize workflows and processes;
  • Serve as an active member of asset teams, providing technical consultation and strategic direction to internal stakeholders and to regulatory agencies (EPA, PMRA, APVMA);
  • Support Bayer Crop Science and industry initiatives to shape and interpret national and international regulatory policies on human safety;
  • Champion sound science and riskโ€‘based decision making in agency engagements and task forces;
  • Operate across the global Bayer Crop Science network to ensure consistent scientific approaches, knowledge sharing, and crossโ€‘regional alignment.
  • Work in close integration with Regulatory Toxicology, Dietary and Non-dietary Risk Assessment, Environmental Safety, and Regulatory Affairs teams and others across Regulatory Science and R&D.
WHO YOU ARE
  • MS in Toxicology, Environmental Health, Exposure Science, Pharmacology, (Bio-)Chemistry, Biomedical, or a related field
  • Possess excellent communication and organizational skills and the ability to work with a team to accomplish projects that require the cooperation and contribution of several individuals from different groups within the company.
  • Experience in agrochemical regulatory toxicology, knowledgeable of human safety/toxicological data generation and study requirements, management and interpretation of results, knowledgeable in global risk assessment approaches.
  • Demonstrated efficiency in planning, organizing and managing a diverse workload ensuring objectives are met by established deadlines and within budget.
  • Demonstrated ability to communicate technical information clearly and accurately to diverse audiences (written and oral).
  • Strong data science skills and data science acumen.
  • Ownership for assigned tasks with the ability to assume technical leadership and think strategically in a variety of situations across human safety disciplines.
Preferred Qualifications
  • Phd in Toxicology, Environmental Health, Exposure Science, Pharmacology, (Bio-)Chemistry, Biomedical, or a related field
  • 5 -8+ years of directly relevant experience;

Employees can expect to be paid a salary between $114,640.00 - $170,000 Additional compensation may include a bonus or incentive compensation (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary range is merely an estimate and may vary based on an applicantโ€™s location, market data/ranges, an applicantโ€™s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

This posting will be available for application until at least September 1, 2026.

Location: United States : Missouri : Chesterfield | Division: Crop Science | Reference Code: 879571

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is an E-Verify Employer.

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

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