Data Scientist

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.

• 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.

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.

• 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 pandas, Num Py, Sci Py, Matplotlib, seaborn, and scikit‑learn.
• 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 - $ annually.

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.