Moneyball for Law
Senior Data Scientist
Location
Maryland
Posted
66 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Scientist
Ex Parte
• Drive technical roadmap to extend risk monitoring across identified threat surfaces • Develop/experiment/ship state-of-the-art prediction models • Use excellent data science practices to iteratively produce high performing models • Create immediate impact through sound and practical deliveries of risk monitors • Work with engineering colleagues to convey findings through data visualizations • Measure, tune and refine existing algorithms to incrementally improve performance • Analyze new and existing data after extracting, transforming and combining it in novel ways • Convey needs to engineering and operations teams to ensure healthy feedback loops • Attract and onboard new talent while preserving and enhancing existing culture • Build strong partnerships and collaborate with other teams across the enterprise • Demonstrate sense ownership and personal accountability for your team's work
Job Requirements
- 5+ years applied data science experience, including 3 years of advanced analytics experience focused on enterprise-specific problem solving
- 2+ years management, mentoring, or other closely related team or people leadership experience
- Experience in machine learning (supervised, semi-supervised or unsupervised learning)
- Strong communication, delivery management, and leadership skills
- A bachelor’s degree, MSc or Ph.D. in Statistics, Data Science, Artificial Intelligence, or equivalent alternative education or experience
- Applied experience with SQL, also Python or R or Scala, and modern data science tools/packages e.g. PyTorch, Transformers, TensorFlow, scikit-learn
- Applied experience with Databricks and/or Azure ML
- Strong coding abilities in one or more scripting languages like Python or SQL
- Understanding of compliance, security, and risk domains along with associated patterns and data elements
- Understanding of product and services activation, use, and transaction models and data
- Understanding of statistical analysis and machine learning tools and practices
- Understanding of Cloud-centric data processing and visualization approaches including SQL and NoSQL databases with exposure to Azure SQL, Azure Cosmos DB, Data Factory, Synapse, Azure Data Lake, etc
- Familiarity with Agile software delivery including application lifecycle mgmt (SAFe, Azure DevOps/VSTS, Git)
Benefits
- Employees can work remotely
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