JPMorgan Data Science - Machine Learning Associate 

India, Maharashtra, Mumbai 

533447350

As ain our, you will spend each day defining, refining and delivering set goals for our firm.

Job Responsibilities

• Implement various exploratory data analysis techniques . Analyze for Trends and Patterns .
• Identify key data sources that can make business impacts.
• Scope, prioritize and co-ordinate activities with the product owners. Partner with product teams to identify strategic solutions.
• Design and develop datamining queries from large data sets (Both Structured and Unstructured) . Experienced in conversion of data into information.
• Proficient in Visualization and story telling which can make an impact to the business .
• Employs scalable automation solutions for faster and robust data preparation
• Transform model outputs into formats that is understandable to the end users through visualization, clear tables, and/or thoughtful presentations. Assist technical and non-technical end users in how to leverage and interpret the analysis.

Required qualifications, capabilities and skills

• Bachelor’s Degree in, Data science Computer Science, or Engineering. Different field of study, with significant professional experience in Analytics and BI development, is acceptable.
• Experience Required: 8+ years in Data related projects and 3+ years in data science
• Self-starter, attention to details and results orientated, able to work under minimal guidance. Uses pertinent data and facts to identify and solve a range of problems within area of expertise.
• Having mandatory experience in Statistics along with Exploratory and regression data analysis. Strong proficiency in LLM, embedding, vectorization, vector stores, database optimization, performance tuning, and relevant query languages.
• Familiarity with embedding, retrieval algorithms, RAG based agents, data modelling for vector development graphs.
• Experience with LLM and other related frameworks like Langchain, LLamaIndex.Experience in model development using Machine Learning techniques [Data Analysis /Model Tuning}.
• Good communication and analytical skills

Preferred qualifications, capabilities and skills

• SSIS/Alteryx exposure for complex ETL development is an added advantage.
• Preferred data querying skills on SQL (Snowflake, Databricks) and , Python (packages and libraries like Scikit , Kera’s, Gradio, Pandas, PySpark/PySQL).