Taro Logo

Data Scientist Lead - Employee Platforms

Global leader in financial services, providing strategic advice and products to corporations, governments, wealthy individuals and institutional investors.
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Finance

Description For Data Scientist Lead - Employee Platforms

Join JPMorgan Chase & Co.'s Employee Platforms team as a Data Scientist Lead and be at the forefront of AI innovation in financial services. This role combines advanced machine learning expertise with practical software engineering to deliver impactful solutions.

As a Data Scientist Lead, you'll spearhead the development of AI/ML solutions that transform our Employee Platforms. Working with cutting-edge technologies including deep learning frameworks, big data tools, and cloud infrastructure, you'll tackle complex challenges that directly impact our global workforce efficiency.

Your role will involve end-to-end machine learning development, from conceptualization to production deployment. You'll leverage your expertise in Python, deep learning frameworks (PyTorch, TensorFlow), and data science libraries to build sophisticated models, including RNNs and LSTMs. The position requires both technical depth in ML/AI and the ability to collaborate effectively with cross-functional teams.

This is an opportunity to:

  • Lead innovative AI/ML projects that shape the future of employee platforms
  • Work with state-of-the-art technologies and frameworks
  • Drive technical decisions and mentor team members
  • Impact the efficiency and effectiveness of a global workforce
  • Be part of a leading financial institution's digital transformation

The ideal candidate combines strong technical skills with business acumen, capable of translating complex technical concepts for stakeholders while delivering robust, production-ready solutions. Join us to be part of a team that's revolutionizing how JPMorgan Chase & Co. leverages AI to empower its employees and drive business success.

Last updated 18 hours ago

Responsibilities For Data Scientist Lead - Employee Platforms

  • Develop and deploy machine learning models and generative AI capabilities
  • Design, code, test, and debug applications
  • Collaborate with cross-functional teams to achieve common goals
  • Keep stakeholders informed on development progress and benefits
  • Manage project lifecycle and software development deliverables
  • Solve complex problems and handle ambiguity with strong analytical skills

Requirements For Data Scientist Lead - Employee Platforms

Python
  • Bachelors or Masters in Computer Science or related field
  • Strong programming skills in python and knowledge of software engineering best practices
  • Strong knowledge of basic data science libraries in Python (NumPy, pandas, scikit-learn, pyspark)
  • Strong knowledge of the main deep-learning frameworks such as PyTorch, TensorFlow, Keras
  • Experience with Linux and shell scripting and experience with LaTeX
  • Solid understanding of traditional data science techniques and experience with data engineer pipelines for big data
  • Solid knowledge of RNNs, and LSTMs models

Benefits For Data Scientist Lead - Employee Platforms

Medical Insurance
401k
Vision Insurance
Dental Insurance
  • Health Insurance
  • 401(k) Plan
  • Vision Coverage
  • Dental Coverage
  • Professional Development

Interested in this job?

Jobs Related To JPMorgan Chase & Co. Data Scientist Lead - Employee Platforms

Machine Learning Engineer, Siri

Senior Machine Learning Engineer position at Apple working on Siri's natural language capabilities using LLMs and Generative AI.

Software Engineer, Computer Vision (Technical Leadership)

Lead computer vision software engineering role at Meta, developing cutting-edge AR/VR technologies and providing technical leadership for Reality Labs teams.

Research Engineer, Monetization AI (PhD)

Research Engineer position at Meta focusing on advanced AI/ML technologies for monetization, requiring PhD and expertise in machine learning, deep learning, and practical implementation of AI solutions.

Senior Staff AI Engineer, AI Algorithm Foundations

Senior Staff AI Engineer position at LinkedIn focusing on developing next-generation AI algorithms and foundational models for professional networking platform.

Senior Staff Engineer - HALO, Core AI

Senior Staff Engineer position at LinkedIn focusing on AI systems evaluation and development, requiring 5+ years of experience and strong technical leadership skills.