Data Scientist

Posted 4 Hours Ago
Hiring Remotely in United States
Remote
Mid level
Legal Tech
The Role
Develop predictive, statistical, machine learning, simulation, and optimization models supporting staffing, financial forecasting, resource allocation, and operational decisions. Build scalable analytical tools and production deployments, analyze complex datasets, validate and monitor model performance, and improve methodologies. Partner with Operations, Finance, Marketing, and Legal teams to solve business problems and communicate recommendations to stakeholders and executives. Use Python, SQL, and cloud technologies to automate and scale analytics.
Summary Generated by Built In

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:

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.

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.

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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.

Skills Required

  • Bachelor’s or master’s degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative field
  • 4 or more years of experience in data science, predictive analytics, statistical modeling, or forecasting
  • Experience developing and maintaining statistical or predictive models that influence business decisions
  • Strong proficiency in Python and SQL
  • Experience with regression, time series forecasting, classification, simulation, or optimization
  • Proficiency with pandas, NumPy, scikit-learn, statsmodels, or equivalent tools
  • Understanding of model validation, backtesting, feature engineering, and statistical inference
  • Experience with causal inference methods, including A/B testing, difference-in-differences, or propensity score matching
  • Familiarity with Git, cloud platforms such as Azure or AWS, CI/CD, APIs, SDKs, and model deployment
  • Experience preparing, validating, and integrating large, complex datasets
  • Strong quantitative reasoning and problem-solving skills
  • 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
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The Company
HQ: Orlando, FL
4,002 Employees
Year Founded: 1988

What We Do

John Morgan became a lawyer with a simple mission: To fight for the people, and not the powerful. After experiencing firsthand the perils of choosing the wrong lawyer and representation after his brother Tim was paralyzed, he dedicated his life to helping people so that no one should ever have to go through what his family endured. Tim was just a teenager when he was working as a lifeguard at Disney World when he suffered a spinal injury that left him confined to a wheelchair for the rest of his life. The Morgans made a life altering decision and they hired the wrong lawyer, who was by no means qualified to take on such a large corporation and their army of lawyers. As a result, Tim never got the compensation he deserved. This experience left John outraged and determined to level the playing field for all people who, like his brother Tim, were injured or mistreated by big and powerful corporations. John decided to become a lawyer, and the rest is history. Since 1988, Morgan & Morgan has been fighting for the people. Every client who walks through our doors is treated the same way John wished his family would have been treated all those years ago. No one, no matter who they are, or where they’re from, should ever feel powerless when fighting for the justice and compensation they deserve. With $20 Billion dollars recovered for our clients, offices across 50 states + Washington D.C. and an army of over 1,000 attorneys - we are everywhere for everyone. All law firms are not the same. There’s only one Morgan & Morgan.

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