Data Scientist

Morgan & Morgan, P.A. | Legal Services

1h 16m ago

Remote In-Country

Full Time

United States of America

Title: Data Scientist Location: United States

At Morgan & Morgan, the work we do matters. For millions of Americans, we’re their last line of defense against insurance companies, large corporations or defective goods. From attorneys in all 50 states, to client support staff, creative marketing to operations teams, every member of our firm has a key role to play in the winning fight for consumer rights. Our over 6,000 employees are all united by one mission: For the People.

Data Scientist Remote Opportunity:

Responsibilities

Design, develop, and maintain predictive models that support 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 to support 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.

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 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.

#LI-MB1

Benefits

Morgan & Morgan is a leading personal injury law firm dedicated to protecting the people, not the powerful. This success starts with our staff. For full-time employees, we offer an excellent benefits package including medical and dental insurance, 401(k) plan, paid time off and paid holidays.

Equal Opportunity Statement

Morgan & Morgan provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

E-Verify

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the I-9 Form.

Privacy Policy

Here is a link to Morgan & Morgan's privacy policy.

Required Skills

pythonsqlpandasnumpyscikit_learnazureaws

Required Languages

🇬🇧 English

Responsibilities

Design, develop, and maintain predictive models that support 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 to support 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.

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 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.