Note: The job is a remote job and is open to candidates in USA. Ex Parte, Inc. is a company that provides data and insight for informed legal decision-making. They are seeking a Senior Data Scientist to drive technical roadmaps and develop advanced prediction models using AI and machine learning to enhance risk monitoring and decision-making processes.
Responsibilities
- 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
Skills
- 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)
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