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JPMorganChase

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Data Scientist Associate

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We have an exciting opportunity for you to enhance your career in Data & Analytics and drive impactful analytics and influence product roadmap initiatives..

As a Data Scientist within the Auto Finance Data & Analytics team, you will leverage advance analytics and AI/ML to support product teams, build analytical solutions, guide strategic business decisions, and enable growth initiatives. You will partner closely with Product, Technology, Design, Risk, and other cross-functional teams to translate complex business questions into analytical and AI/ML solutions. The ideal candidate is a hands-on analytics practitioner who combines strong technical skills, business judgment, intellectual curiosity, and a passion for applying modern analytics and technology to deliver business outcomes.

Job responsibilities

  • Conduct deep-dive analyses to generate actionable insights and recommendations, using data-driven storytelling to demonstrate value and influence product roadmap initiatives.

  • Identify business problems and opportunities where AI/LLM-based solutions can create value; design and develop end2end solutions that improve decision-making, enhance customer experiences, and drive measurable business outcomes.

  • Collaborate with cross-functional PXT teams, including Product, Design, and Engineering, to inform product development.

  • Serve as an analytics subject-matter expert by formulating problem statements, sizing opportunities, and defining success metrics.

Required qualifications, capabilities, and skills

  • Bachelor’s degree in statistics, economics, mathematics, or engineering with 4+ years of experience in AI/ML or data science .

  • Advanced Python, data structures, and algorithms

  • Experience in building Conversational AI applications and in orchestrating AI/ML services for building a complete solution

  • Curiosity and demonstrated initiative in learning and applying AI/LLM technologies to business problems and projects.

  • Strong critical thinking and analytical skills, with attention to detail.

  • Excellent written and verbal communication skills

  • Ability to multitask, prioritize effectively, and demonstrate strong organizational and problem-solving skills.

  • Strong skills in designing, developing, and operationalizing data products.

Preferred qualifications, capabilities, and skills

  • Hands-on experience building Agentic AI/LLM solutions.

  • Familiarity with Github CoPilot or similar tools.

  • Prior exposure to marketing, competitive intelligence, or strategic analytics

  • Highly organized, intellectually curious, and able to manage multiple priorities effectively.

Skills

See also

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