Lead Data Scientist

JPMorgan Chase Bank, N.A.
JPMorgan Chase Bank, N.A.

Job Overview

The Senior Data Scientist is a player/coach role, in which the successful candidate is not only an individual contributor who applies quantitative, data science and analytical skills to solve complex problems, but also, as appropriate, a team leader who leads ad hoc project teams in the definition, solution, and implementation of data science and machine learning projects. He/she should be able to work effectively across organizational groups and hierarchies to design, develop, evaluate and execute solutions, with a keen functional understanding of the business problem at hand. On the technical side, the role is responsible for the full model development life cycle, including data wrangling, data analysis, modeling, including model selection and producing quick applicable modeling solutions, and ongoing performance analysis.More broadly, the successful candidate will serve as a thought leader, including advising on optimal solutions and proposing challenger models. The role works on strategic, highly visible projects firm wide. It is an opportunity to have meaningful impact on a large scale at a leading financial services firm. The role will develop data-centric solutions that move the bottom line for the firm.In Corporate Technology Machine Learning at JPMorgan Chase, our role involves solving challenging business problems through data science and machine learning techniques across all the corporate functions, including Risk, Compliance, Finance, HR, Legal, and Audit.This role requires a wide variety of strengths and capabilities, including:10+ Years of experience in a data science, predictive science, or algorithm development role for enterprise environments Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research) Extensive practical expertise and work experience with Machine Learning, both supervised and unsupervised. Deep Learning (neural network) experience is preferred. Experience across broad range of modern analytic and data tools, particularly Python/Anaconda and/or R, XGBoost, Tensorflow and/or Keras, Spark, Hive, SQL. Excellent problem solving, communications, and teamwork skills. Financial service background preferred, but not required JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.Equal Opportunity Employer/Disability/VeteransLead Data Scientist 1

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