Data Scientist, Senior Associate

JPMorganChase is one of the oldest financial institutions offering innovative financial solutions to millions of consumers, small businesses and prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands.
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS

Description For Data Scientist, Senior Associate

JPMorgan Chase is seeking a Data Scientist, Senior Associate to join their Employee Platforms team. This role offers an exciting opportunity to revolutionize the future of Employee Platforms through cutting-edge AI and Data Science initiatives. As part of a dynamic team, you'll be instrumental in creating innovative, cloud-centric solutions that transform client experiences and drive industry-leading advancements.

The position combines traditional software engineering with advanced machine learning, requiring expertise in both areas. You'll be responsible for developing and deploying AI/ML solutions while engaging in end-to-end software development, from design to deployment, in a fast-paced, cloud-native environment. Your work will directly impact the company's ability to provide exceptional service to clients through cutting-edge technology solutions.

The ideal candidate should possess strong programming skills in Python, with deep knowledge of data science libraries and deep learning frameworks. You'll need experience with traditional data science techniques, data engineering pipelines for big data, and specific expertise in RNNs and LSTMs models. The role requires both technical excellence and strong collaborative abilities, as you'll be working with cross-functional teams in a diverse, global environment.

JPMorgan Chase offers a comprehensive benefits package including competitive base salary, commission-based pay, and discretionary incentive compensation. Additional benefits include comprehensive healthcare coverage, retirement savings plans, mental health support, and educational assistance. The company values diversity and inclusion, making it an equal opportunity employer that accommodates various needs and backgrounds.

This role presents an excellent opportunity for a mid-level professional with 3+ years of experience to work with cutting-edge technology while contributing to one of the world's leading financial institutions. You'll be part of a team that values continuous learning and innovation, keeping Employee Compute services at the forefront of the industry.

Last updated 17 hours ago

Responsibilities For Data Scientist, Senior Associate

  • 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, Senior Associate

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
  • 3+ years of experience in similar roles

Benefits For Data Scientist, Senior Associate

401k
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Education Budget
  • Base salary
  • Commission-based pay
  • Discretionary incentive compensation
  • Comprehensive health care coverage
  • On-site health and wellness centers
  • Retirement savings plan
  • Backup childcare
  • Tuition reimbursement
  • Mental health support
  • Financial coaching

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