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Urgent! Executive Director, Data Science Job Opening In Jersey City – Now Hiring JPMorgan Chase & Co.

Executive Director, Data Science



Job description

The Executive Director Data Scientist will lead our data team within the Applied AI & Analytics Solutions product group, driving innovation in AI, machine learning, and advanced analytics.

This role is pivotal in exploring, piloting, and implementing cutting-edge data-driven solutions that address complex business challenges.

The ED Data Scientist will spearhead research and development efforts and nurture a culture of experimentation and innovation, ensuring seamless integration of solutions into operational workflows and collaboration across business units

Job Responsibilities

  • Explore and implement new technologies, methodologies, and innovations in data and analytics.

  • Conduct research and development to identify and apply cutting-edge AI and machine learning (ML) solutions.

  • Drive the creation, building, and deployment of advanced data-driven solutions that address complex business challenges.

  • Collaborate closely with other teams to ensure smooth transitions and effective support for newly developed solutions.

  • Facilitate the integration of advanced analytics models and applications into everyday operational workflows.

  • Drive research initiatives and pilot projects that promote a culture of innovation and continuous improvement within the organization.

  • Lead the team in developing impactful AI/ML models and data-driven applications that meet business needs and performance standards.

  • Partner with external experts and industry peers to stay informed of emerging trends and best practices.

  • Champion the adoption of innovative technologies and methodologies across the firm, influencing a forward-thinking approach towards data and analytics

  • Integrate advanced AI/ML solutions with agentic technologies (.

    LangChain) and develop predictive models and autonomous agents that automate complex data tasks, streamline workflows, and empower users.

  • Manage and build the semantic data layer, defining relationships among key business entities to fuel intelligent search, recommendation engines, and network analysis.

  • Develop data-driven tools, dashboards, and analytical applications to enhance advisor efficiency and deepen client engagement

  • Deliver end-to-end solutions for understanding and improving organizational engineering performance through the creation of core data assets and analytical dashboards.

  • Oversee the design, deployment, and management of prompt-based models on LLMs for various NLP tasks in the financial services domain.

  • Conduct and guide research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.

  • Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization.

  • Required qualifications, capabilities, and skills

  • Minimum 10+ years of experience in data science, analytics, or a related field.

  • Significant leadership experience in managing data science/R&D teams and driving technology innovation.

  • Proven track record of working with AI, ML, and advanced analytics models in a large-scale enterprise environment.

  • Strong proficiency in programming languages (., Python) and data science frameworks (.

    scikit-learn, PyTorch, .

  • Deep understanding of AI/ML algorithms, statistical modeling, and modern data platforms (.

    Snowflake, Databricks).

  • Experience with cloud-based data technologies and big data ecosystems

  • Preferred qualifications, capabilities, and skills

  • Excellent leadership and team management skills with a strategic vision.

  • Strong interpersonal, communication, and presentation abilities.

  • Ability to collaborate effectively across cross-functional teams and mentor emerging talent

  • Advanced degree (Master’s or in Data Science, Computer Science, Mathematics, Engineering, or a related field is preferred


  • Required Skill Profession

    Mathematical Science Occupations



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