Data Scientist

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

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Morgan & Morgan, P.A.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1988

🛡️ Insurance

⚖️ Legal

Insurance • Legal • Personal Injury

Morgan & Morgan, P. A. is America's largest injury law firm, specializing in personal injury cases and providing legal representation for a variety of issues including car accidents, medical malpractice, and workers' compensation. With a dedication to fighting for clients' rights, they offer free case evaluations and operate on a contingency fee basis, meaning clients only pay if they win their case. The firm emphasizes accountability for defendants and has successfully recovered over $25 billion for their clients over 35 years.

📋 Description

• Design, develop, and maintain predictive models supporting strategic planning, staffing, financial forecasting, and operational decisions • Apply statistical modeling, machine learning, and quantitative techniques to forecast outcomes, identify key drivers, and evaluate scenarios • Develop simulation and optimization models supporting resource allocation and operational decision-making • 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, sensitivity analysis, and ongoing monitoring • Refine analytical methodologies by incorporating new data sources, testing assumptions, and improving model accuracy • Partner with Operations, Finance, Marketing, and Legal teams to translate business challenges into analytical solutions • Communicate model outputs, assumptions, and recommendations to stakeholders, including executive leadership • Leverage AI to accelerate development, automate workflows, and scale analytical capabilities

🎯 Requirements

• 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 that influence business decisions • Strong proficiency in Python and SQL for data manipulation, statistical analysis, modeling, and automation • Experience with statistical and machine learning techniques such as regression, time series forecasting, classification, simulation, or optimization • Proficiency with Python libraries such as pandas, NumPy, scikit-learn, statsmodels, or equivalent tools • Understanding of model validation, backtesting, feature engineering, and statistical inference • Experience with causal inference methods such as A/B testing, difference-in-differences, or propensity score matching • Familiarity with software engineering practices including Git, cloud platforms (Azure/AWS), CI/CD, APIs, SDKs, and model deployment • Experience preparing, validating, and integrating large, complex datasets • Strong quantitative reasoning, problem-solving, and ability to translate ambiguous business questions into analytical approaches • Ability to communicate complex analytical concepts to technical and non-technical audiences • Ability to work independently, prioritize effectively, and deliver results in a fast-paced environment

🏖️ Benefits

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

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