# Data Scientist

**Company**: Morgan & Morgan
**Location**: United States
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Legal

**Apply**: https://job-boards.greenhouse.io/morganmorganjobsapplynow/jobs/6261180004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/data-scientist-57bf8dad-3a9/

## Description

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

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## Skills

### Required
- Python
- SQL
- statistical modeling
- machine learning
- data science
- predictive analytics
- forecasting
- Git
- cloud platforms
- CI/CD
- APIs
- SDKs
- model deployment

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/morganmorganjobsapplynow/jobs/6261180004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
