
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.
🕒 April 1
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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.
• 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
• 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)
• Employees can work remotely
Apply Now🕒 April 1
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🇺🇸 United States – Remote
💵 $115k - $180k / year
💰 $140M Series B on 2021-06
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist