Data Scientist

At Morgan & Morgan, the work we do matters. We're a leading personal injury law firm dedicated to protecting the people, not the powerful. As a Data Scientist, you will design, develop, and maintain predictive models that support strategic planning, staffing, financial forecasting, and operational decisions.

Responsibilities:

• Develop and maintain predictive models for strategic planning, financial forecasting, and operational decisions
• Apply statistical modeling, machine learning, and quantitative techniques to forecast outcomes and identify key drivers
• Build and maintain scalable analytical tools, automations, and production model deployments
• Analyze complex operational and financial datasets to identify trends, risks, and opportunities
• Evaluate and improve model performance through backtesting, validation, and sensitivity analysis
• Partner with cross-functional teams to translate business challenges into analytical solutions
• Communicate model outputs, assumptions, and recommendations to stakeholders
• Leverage AI to accelerate development, automate workflows, and scale analytical capabilities

Qualifications:

• BS or MS in Statistics, Mathematics, Computer Science, Engineering, Data Science, or related quantitative field
• 4+ years of experience in data science, predictive analytics, statistical modeling, or forecasting
• Demonstrated experience developing and maintaining statistical or predictive models
• Strong proficiency in Python and SQL
• Experience with statistical and machine learning techniques, Python libraries, and software engineering practices
• Understanding of model validation, backtesting, feature engineering, and statistical inference
• Experience with causal inference methods and large dataset integration
• Strong quantitative reasoning, problem-solving, and communication skills

Benefits:

• Medical and dental insurance
• 401(k) plan
• Paid time off and paid holidays