Data Scientist
Safety Radar Open · verified Oct 24, 2026 At a glance
Mid-level Data Science role at Safety Radar. Tulsa · full-time · $80,000–$120,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build AI components that assess customer safety and risk information, then check their metrics and interpret the results
- Review AI outputs for anomalies and correct issues before those results move into production
- Maintain SQL scripts that retrieve and format results from AI analysis components
- Use statistical analysis to find links between causal factors, potential severity and PSIF exposure
- Create live dashboards for customers and analyze one-off questions about AI tools and computing costs
What you bring
- A master's degree in data science, business analytics or another related technical field, plus two years of statistical analysis experience
- At least one year using visualization tools and one year using SQL to prepare data for analysis
- At least one year using Python with pandas, NumPy, SciPy, Matplotlib, seaborn and scikit-learn
- Three months of experience working with prompts for large language models
Who this fits
This role suits a data scientist with graduate-level technical education and experience in statistical analysis, SQL, Python and visualization. The job is based in Tulsa, with telecommuting available for up to two days per week. The stated annual pay range is $80,000 to $120,000.
From the employer
JOB SUMMARY:
Safety Radar Inc. seeks a Data Scientist to develop AI modules to evaluate customer safety and risk data, perform metric analysis, and interpret outputs. Contribute to the development of AI analysis frameworks to ensure accurate and consistent results across all customer data sources. Perform analysis of AI results for internal use to detect and fix abnormalities before transitioning AI outputs to production environment. Write, retain, and improve SQL scripts to query and format outputs of AI analysis blocks. Conduct statistical analysis of Causal Factors to identify correlations between Potential Severity and PSIF Exposure. Conduct ad-hoc data analysis tasks to drive internal decisions related to AI tools and computing costs. Build customer-facing, live risk dashboards that visualize jobsite risk metrics and safety insights.
EDUCATION/EXPERIENCE:
Position requires a Master’s degree (or foreign equivalent) in Data Science, Business Analytics, or a related technical field, and 2 years of statistical analysis experience. Experience must include: 1 year of experience using data visualization tools; 1 year of experience using SQL to extract, transform, and load data for analysis; 1 year of experience utilizing Python, including utilizing pandas, NumPy, SciPy, Matplotlib, seaborn, and scikit-learn; and 3 months of experience utilizing AI large language model prompts. Telecommuting is available up to 2 days per week.
Job Location: Tulsa, OK
Rate of Pay: $80,000.00 - $120,000.00 annually
To apply, please email your resume and cover letter to hr@safetyradar.com and reference Job Code: 107.
Safety Radar is proud to be an equal-opportunity employer. We do not discriminate in hiring or any employment decisions based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other legally protected characteristic. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during the application process. If you need assistance or an accommodation due to a disability, you may contact hr@safetyradar.com.
#FB-DNI #IN-DNI #TW-DNI #GD-DNI
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science$80k+
Find me workBy the team behind dataroles.