Summary

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

 As a Data Scientist Lead at JPMorgan Chase in the Asset and Wealth Management Technology division, you will play a key role as an experienced member of our Data Science Team. Your responsibilities will include addressing business problems through data analysis, developing models, and deploying these models to production environments on AWS or Azure.

Job responsibilities

1. Collaborate with all of JPMorgan’s lines of business and functions to delivery software solutions.
2. Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact.
3. Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.

Required qualifications, capabilities, and skills

1. Formal training or certification on software engineering concepts and 5+ years applied experience
2. BE/B.Tech, ME/MS or PhD degree in Computer Science, Statistics, Mathematics or Machine learning related field.
3. Solid programming skills with Python
4. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
5. Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
6. Experience in using GenAI (OpenAI or other models ) to solve business problem.
7. Knowledge of machine learning frameworks: Tensorflow and Pytorch
8. Experience in training/ inference/ML ops on public cloud (AWS/GCP/Azure)
9. Strong analytical and critical thinking skills

Preferred qualifications, capabilities, and skills

1. Self-motivation, great communication skills and team player
2. Knowledge of Asset and Wealth management business is added advantage . 

Skills

• Analytical Thinking
• AWS
• Communications Skills
• Critical Thinking
• Leadership
• Python
• Software Engineering
• Team Collaboration