Data Scientist Lead - Consumer Bank Affluent Analytics

Testing Site - JPMC

New York (NY)

Presencial

USD 130.000 - 195.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Testing Site - JPMC in New York seeks a Data Science Manager for the Consumer Bank - Affluent Analytics team to lead a group of data scientists and researchers, guiding end-to-end studies that inform business strategies.

You will apply SQL, Python, and statistical methods to analyze diverse datasets, synthesize findings, and deliver executive-quality insights that shape strategic decisions across product and sales initiatives.

Formación

  • 5+ years of experience planning and executing user research studies.
  • Strong programming skills in SQL and Python with large datasets.
  • Proficient in statistics with a strong analytical and problem-solving mindset.
  • Excellent communication to present findings to senior stakeholders.
  • Mentoring and managing junior team members.
  • Ability to drive multiple initiatives independently.

Responsabilidades

  • Lead, coach, and develop a team of data scientists and researchers.
  • Guide end-to-end studies informing business strategies.
  • Partner with sales strategy and senior executives to share insights.
  • Synthesize findings and deliver executive-quality insights.
  • Foster a culture of empathy and innovation.

Conocimientos

Leadership
Team Management
Communication
Analytical Thinking
Independent / Self-starter
Interpersonal Skills

Educación

PhD/Master’s in Statistics, Mathematics, CS, Data Science or related field

Herramientas

SQL
Python

Descripción del empleo

JAs a Data Science Manager on the Consumer Bank - Affluent Analytics team, you will lead a team of data scientists & researchers, guiding end-to-end studies that inform business strategies. Leveraging your expertise in SQL, Python, and statistical methods, you will analyze diverse datasets, synthesize findings, and deliver executive-quality insights. Your work will shape the next generation of research, drive process improvements, and foster a culture of empathy and innovation. You will partner closely with sales strategy , senior business executives, and cross-functional teams to share insights on key initiatives. As a people manager, you will be responsible for leading, coaching, and developing your team, setting clear goals, providing regular feedback, and supporting their professional growth.

Key Responsibilities:
  • 6+ years of experience in business strategy, analytics, or data science.
  • Lead, coach, and develop a team of data scientists and researchers, setting clear goals and expectations to drive high performance.
  • Proven track record of supporting team members’ career progression and professional development.
  • Clear and succinct written and verbal communication skills, able to frame and present messages for different audiences.
  • Critical and analytical thinking, with the ability to maintain detail focus and retain big picture perspective.
  • Ability to work independently, manage shifting priorities and projects, and thrive in a fast-paced, competitive environment.
  • Excellent interpersonal skills to work effectively with a variety of individuals, departments, and organizations.
Required Qualifications, Capabilities, and Skills:
  • 5+ years of experience planning and executing user research studies, including quantitative and big data analysis.
  • Strong programming skills in SQL and/or Python; experience working with large datasets.
  • Proficient in statistical concepts and methods, with a strong analytical and problem-solving mindset.
  • Excellent communication skills, with the ability to synthesize and present complex findings to senior stakeholders.
  • Demonstrated experience mentoring, training, and managing junior team members.
  • Ability to drive multiple initiatives independently and manage competing priorities.
Preferred Skills and Qualifications:
  • PhD/Master’s degree or equivalent in Statistics, Mathematics, Computer Science, Data Science, Social Science, or a related field.
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