Data Scientist Lead - Focused Analytics Solutions Vice President

Join us to elevate your data science career with impactful projects and growth opportunities.

As a Data Science Lead within the Focused Analytics Solutions Team, you will lead the design, build, and delivery of actionable and end-to-end analytical solutions spanning the analytical spectrum. You will serve as a trusted advisor and thought leader, providing expertise throughout project lifecycles, from scoping and planning to generating insights and deploying solutions.

Job Responsibilities

• Lead teams of data scientists to develop, plan, and deliver end-to-end analytical projects.
• Serve as a trusted advisor and thought leader by providing expertise throughout project lifecycles.
• Guide project teams in synthesizing analytical findings for consumption by internal clients and senior executives.
• Establish and manage relationships with internal clients and partners.
• Recruit, develop, and retain talent by creating an environment of open communication that prioritizes continued learning and growth.
• Set standards of excellence for the team by demonstrating professional expertise, strong work ethic, integrity, and professional behavior.
• Maintain a rigorous controls environment to ensure accurate and timely results.

Required Qualifications, Capabilities, and Skills

• 10+ years of industry experience in data science or business analytics roles.
• Experience leading project teams and coaching/mentoring early career talent.
• Foundational and applied knowledge of statistical, data science, and machine learning methodologies.
• Excellent communication skills, with an ability to convey complex information in an understandable manner.
• Familiarity with a variety of analytical project types, ranging from business intelligence to data engineering.
• Proficiency in SQL, Python, Tableau, plus big data technologies such as Hive, Hadoop, and Spark.
• Master’s degree in a relevant quantitative field.

Preferred Qualifications, Capabilities, and Skills

• Advanced degree in a relevant quantitative field.
• Direct people management experience.
• Financial services experience.