Senior Data Scientist

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🕒 April 1

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Ex Parte

1 - 10 employees

🤖 Artificial Intelligence

🤝 B2B

📋 Compliance

💰 $7.5M Series A on 2022-02

Artificial Intelligence • B2B • Compliance

Ex Parte is a company that utilizes artificial intelligence and machine learning to predict the outcomes of litigation, offering their customers a winning advantage in legal battles. The company focuses on providing innovative solutions that help clients navigate and succeed in the legal field by leveraging advanced technologies.

📋 Description

• 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

🎯 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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