Data Scientist Lead

The data architecture team drives data architecture design, data modeling, AI/ML development and adoption to support data-driven execution across all Commercial Bank business processes. Our work is a blend of ML programming, data product architecture and development, and analytics with a key focus on unlocking data and insights to increase adoption and efficiency by delivering with quality and right controls in place. As a Data Scientist Lead, you will participate in design and development of machine learning programs and collaborate across teams on operation and implementation on top of Hadoop and AWS cloud-based data platforms. Job Responsibilities A strong passion for AI/ML and analytics with the ability to drive capability development using advanced ML techniques and statistical methodologies. Excellent knowledge of commonly used AI/ML methodologies and algorithms in financial service industry and good understanding of data product features and underlying proprietary data, AI/ML algorithms and processes. Leading AI/ML program development, implementation, and communication, in partnership with Data Architecture and Data Engineering teams, to enable new products/features, resolve issues, and make recommendations. Improving core competency and processing efficiency via agile process best practice and sustained collaboration with all team members and partners. Required Qualifications, capabilities, and skills Master’s degree in a quantitative field such as mathematics, statistics, computer science or engineering Advanced data mining and EDA (Exploratory Data Analysis) skills, understanding of various data structures and data transformation. Knowledge and expertise in NLP, Graph ML and Reinforcement Learning apart from understanding supervised & unsupervised learning. Strong ability to develop and debug in Python (must) and advanced SQL. Strong project management skills – the ability to manage multiple projects and prioritize work requirements to work in a multi-disciplinary team setting. 3+ years of experience with machine learning APIs and computational packages (e.g., Scikit-Learn, NumPy, SciPy, Pandas). 5 + years of experience with big-data technologies such as Hadoop, Spark, SparkML, etc. Preferred Qualifications, capabilities, and skills Ability to design or evaluate intrinsic and extrinsic metrics of your ML programs’ performance which are aligned with business goals. Ability to independently research and propose alternatives with some guidance as to problem relevance. Experience working with commercial data and graph database/programming tools.

ABOUT US

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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 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. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans #J-18808-Ljbffr JPMorgan Chase