JPMorgan Data Scientist Lead - Focused Analytics Solutions Vice President 

India, Karnataka, Bengaluru 

844155513

As a Data Scientist 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. This role combines consulting expertise, analytical proficiency, and hands-on technical skills to drive strategic initiatives across various business functions.

Job responsibilities

• Lead teams of data scientists to develop, plan, and deliver end-to-end analytical projects as team lead and, when necessary, as hands-on data scientist.
• Serve as a trusted advisor and thought leader by providing expertise throughout project lifecycles, from scoping and planning to generating insights and deploying the solution.
• Guide project teams in synthesizing analytical findings for consumption by internal analytical 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 (e.g., marketing analytics, sales analytics, business insights).
• Experience leading project teams and coaching/mentoring early career talent.
• Foundational and applied knowledge of statistical, data science, and machine learning methodologies, including descriptive, inferential, and causal statistics, predictive modeling, optimization modeling, generative AI & Large Language Models, and A/B testing methods.
• Excellent communication skills, with an ability to convey complex information in an understandable, compelling, and persuasive manner to non-technical clients, executives, and junior data scientists.
• Involved with multiple analytical projects, ranging from business intelligence to data engineering and infrastructure, to higher-order modeling, including model deployment and maintenance.
• Proficiency in SQL, Python, Tableau, plus big data technologies such as Hive, Hadoop, and Spark.
• Master’s degree in a relevant quantitative field (e.g., Statistics, Economics, Applied Math, Operations Research, Physics, Data Science).

Preferred Qualifications, Capabilities, and Skills

• Advanced degree in a relevant quantitative field (e.g., Statistics, Economics, Applied Math, Operations Research, Physics, Data Science).
• Direct people management experience.
• Financial services experience.