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Safety Radar logoSafety Radar

Data Scientist

Tulsa, Oklahoma, United States · Hybrid

$80k–$120k/yr

Mid level

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 framewor…

Skills: AI Module Development, Metric Analysis, SQL, Statistical Analysis, Python

Safety Radar logo

Data Scientist

Safety Radar

Tulsa, Oklahoma, United States • Hybrid

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Mid levelHybrid · 3 days in office

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  • $80k–$120k/yr
  • Full-time
  • postgraduate degree
  • Posted 11d ago
  • ~40 hrs/week

Responsibilities

Develop AI modules and analysis frameworks to evaluate customer safety and risk data. Build live risk dashboards and perform statistical analysis to identify correlations between severity and exposure.

Requirements

Requires a Master's degree in Data Science or a related field with 2 years of statistical analysis experience. Must have specific experience in SQL, Python libraries, data visualization, and LLM prompting.

Full job description

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 [email protected] 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 [email protected].

#LI-DNI #FB-DNI #IN-DNI #TW-DNI #GD-DNI

Related keywords

Data ScienceAILarge Language ModelsSQLPythonPandasNumPySciPyMatplotlibSeabornScikit-learnStatistical AnalysisCausal FactorsPSIF ExposureData VisualizationETL

About Safety Radar

LinkedInVisit site

The first AI-enabled platform to prevent jobsite accidents through behavioral risk tracking and training.

Industry
Software Development
Company size
2-10 employees
Headquarters
Tulsa, Oklahoma
LinkedIn followers
1,279

Safety Radar transforms frontline safety data into real-time risk intelligence using AI. Our platform integrates seamlessly with your existing systems—such as training records, time-on-task data, and incident reports—to deliver a comprehensive view of operational risk. Built for safety professionals and field teams, Safety Radar analyzes every report in seconds across 200+ risk factors and is trained on your company’s unique safety standards. This enables teams to detect rising hazards, uncover causal trends, and take proactive action without disrupting legacy workflows. Whether using our system or your own, Safety Radar helps organizations across energy, construction, aerospace, logistics, and manufacturing improve engagement, reduce incidents, and strengthen their safety culture. Visit www.safetyradar.com to learn more.

Offices: Tulsa, Oklahoma, US · 12 N Cheyenne Ave, Tulsa, Oklahoma 74103, US

View all jobs at Safety Radar

About Safety Radar

LinkedInVisit site

The first AI-enabled platform to prevent jobsite accidents through behavioral risk tracking and training.

Industry
Software Development
Company size
2-10 employees
Headquarters
Tulsa, Oklahoma
LinkedIn followers
1,279

Safety Radar transforms frontline safety data into real-time risk intelligence using AI. Our platform integrates seamlessly with your existing systems—such as training records, time-on-task data, and incident reports—to deliver a comprehensive view of operational risk. Built for safety professionals and field teams, Safety Radar analyzes every report in seconds across 200+ risk factors and is trained on your company’s unique safety standards. This enables teams to detect rising hazards, uncover causal trends, and take proactive action without disrupting legacy workflows. Whether using our system or your own, Safety Radar helps organizations across energy, construction, aerospace, logistics, and manufacturing improve engagement, reduce incidents, and strengthen their safety culture. Visit www.safetyradar.com to learn more.

Offices: Tulsa, Oklahoma, US · 12 N Cheyenne Ave, Tulsa, Oklahoma 74103, US

View all jobs at Safety Radar

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