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Data Science Jobs in Berkeley, MO (NOW HIRING)

Curious about data science and analytics? Our Data Analytics department seeks those passionate about using data to tell business stories, inform decision making and solve business problems. If you ...

Leidos is seeking a Software Engineer / Data Science Librarian to manage and optimize databases supporting GEOINT product dissemination and to process expurgation requests for distributing discrete ...

Software Engineer/Data Science Librarian

Arnold, MO · On-site

$101K - $121K/yr

Leidos is seeking a Software Engineer / Data Science Librarian to manage and optimize databases supporting GEOINT product dissemination and to process expurgation requests for distributing discrete ...

Data Scientist Remote 12 Month Contract to hire Data Scientist - Profile Overview This is a data foundation-heavy Data Scientist role with strong overlap into Data Engineering. What the client is ...

Senior‑level proficiency in Python and its data science and visualization ecosystem, including Pandas, NumPy, SciPy, Matplotlib, Plotly, Dash, Bokeh, and related libraries. * Demonstrated ...

New

Master's degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics ... in data science capabilities including data mining, predictive modeling, machine learning ...

Master's degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics ... in data science capabilities including data mining, predictive modeling, machine learning ...

Showing results 41-60

Data Science information

See Berkeley, MO salary details

$35.2K

$115.2K

$184.4K

How much do data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science in Berkeley, MO is $115,202.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $127,600.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, 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 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 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 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.

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 cities near Berkeley, MO are hiring for Data Science jobs? Cities near Berkeley, MO with the most Data Science job openings:
Infographic showing various Data Science job openings in Berkeley, MO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $115,202 per year, or $55.4 per hour.

Senior Data Scientist

Safety National

Saint Louis, MO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

At Safety National, we don't just offer jobs - we build careers with purpose! Since 1942, we've been an industry leader, valuing integrity, teamwork, and stability while providing competitive rewards, top-tier benefits, career growth opportunities, and flexible work options that promote balance. With tuition reimbursement, wellness perks, and a strong community impact, we invest in your success-both personally and professionally. Ready to grow with us? Apply today!
Follow this link to view all of our available careers and apply: https://www.safetynational.com/careers-page/
This opportunity is in the Advanced Analytics department.
Curious about data science and analytics? Our Data Analytics department seeks those passionate about using data to tell business stories, inform decision making and solve business problems. If you are a curious professional with education or experience in data science, statistics, and machine learning, this is an excellent opportunity to be part of a highly impactful, innovative and diverse team.
Role Description
As a Senior Data Scientist, you will play a key role in solving complex business challenges through advanced analytics and machine learning. You will partner with cross-functional stakeholders across claims, underwriting, actuarial, and other business areas to transform large, complex datasets into actionable insights that drive business decisions. In this role, you will develop, deploy, validate, and optimize predictive models while ensuring data quality, regulatory compliance, and reproducible analytical processes. You will also create impactful visualizations and communicate technical findings to a variety of audiences, while helping advance innovative data science capabilities throughout the organization.
Qualifications
Education
  • Master's degree required in Statistics, Mathematics, Actuarial Science, Computer Science, or another quantitative field.

Required Qualifications
  • 6 or more years of experience as a Data Scientist with a focus on machine learning and predictive modeling.
  • Strong proficiency with Python or R and relevant machine learning libraries such as Scikit-Learn, XGBoost, TensorFlow, or PyTorch.
  • Strong understanding of statistical modeling, machine learning techniques, and risk assessment within an insurance environment.
  • Extensive experience working with relational databases (such as Microsoft SQL Server) and cloud-based data warehouses (such as Snowflake).
  • Advanced SQL skills for data retrieval, transformation, and analysis.
  • Excellent communication skills with the ability to explain complex technical concepts to diverse stakeholders.
  • Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future.
  • This position allows for a hybrid work schedule which includes a minimum of 3 days per week in our St. Louis Corporate Office, located at 1832 Schuetz Rd. Saint Louis, MO. All employees are required to submit work from home requests and follow our Work From Home policy, which will be provided to all candidates selected to interview.

Preferred Qualifications
  • Experience with generative AI solutions and integrating them into workflows to improve operational efficiency and solve business problems.
  • Familiarity with insurance-specific data sources, regulatory requirements, and industry standards.
  • Knowledge of database design principles to create efficient and scalable data structures.

Protect the confidentiality, integrity and availability of information and technology assets against unauthorized disclosure, destruction and/or alteration, in accordance with Safety National policies, standards, and procedures.
Safety National is a leading specialty insurance and reinsurance provider. Our culture is built upon relationships, which allow us to demonstrate our expertise gained through our rich 80-year history. As a wholly-owned subsidiary of Tokio Marine, Inc., we appreciate the benefits and support provided by our affiliation with one of the top 10 insurance companies in the world.
Total Rewards That Put Employees First
In our vision to be First with Co-Workers, compensation that includes base salary, holiday bonus, and incentive awards is only a small portion of the comprehensive total rewards package we offer. Our total rewards approach recognizes and rewards the time, talents, efforts, and results of our valued employees. Highlights of our exceptional benefits include generous health, dental, and vision coverage, health savings accounts, a 401(k)-retirement savings match and an annual profit sharing contribution. We proudly offer family forming benefits for adoption, fertility, and surrogacy, generous paid time off and paid holidays, paid parental and caregiver leave, a hybrid work environment, and company-paid life insurance and disability. To support employees in their career journeys, we provide professional growth and development opportunities in addition to employee recognition and well-being programs. Apply today to learn more.
Safety National is committed to fair, transparent pay and we strive to provide competitive, market-based compensation. In our vision to be First with Co-Workers, compensation is only one piece of the comprehensive total rewards package we offer. The target base salary range for this position is $116,500 to $150,500. Compensation for the successful candidate will consider the candidate's particular combination of knowledge, skills, competencies, experience and geographic location.
#LI-Hybrid
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.