Leverages advanced analytical methodologies and technologies, including machine learning, deep learning, artificial intelligence, and graph-based analytics, to mine and interpret large volumes of structured and unstructured data
Job Summary
Leverages advanced analytical methodologies and technologies, including machine learning, deep learning, artificial intelligence, and graph-based analytics, to mine and interpret large volumes of structured and unstructured data.
Generates actionable insights, strategic recommendations, and decision-support materials that enable business leaders to enhance performance and maintain competitive advantage.
Collaborates with data and analytics professionals and cross-functional teams to optimize, refine, and scale analytical work into robust, enterprise-ready solutions.
Matching Summary
Leverages advanced analytical methodologies and technologies, including machine learning, deep learning, artificial intelligence, and graph-based analytics, to mine and interpret large volumes of structured and unstructured data.
Salary
Base: $103,200.00 - $192,000.00; Bonus/Equity: Not specified; Benefits: Health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans
Skills & Requirements
Must-have
machine learning
deep learning
artificial intelligence
graph-based analytics
Python and SQL
production-grade AI solutions
Nice-to-have
financial services experience
banking industry experience
regulated industries experience
executive storytelling skills
cross-functional collaboration
Key Requirements
5+ years of data science experience
Familiarity with graph analytics
Advanced degree in quantitative discipline or equivalent experience