JPMorgan Chase Corporate HR- Workforce Analytics- Data Scientist Associate in Jersey City, New Jersey
Human Resources – Workforce Analytics – Data Scientist (Associate)
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.5 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.
Corporate Human Resources plays an integral role in designing, implementing, and managing global initiatives across the firm. The functional areas within Corporate HR include global Recruiting, Training, Talent and Development, Career Management, Diversity, Compensation, Benefits, Employee Relations, Technology, Finance, HR Service Delivery, and Workforce Analytics (WFA).
Workforce Analytics (WFA) is a newly established centralized global team. WFA is the application of quantitative methods, technology, and research to all of the people data and people decisions in the firm. We have a vision to help make individuals, teams, and businesses at JPMC among the most engaged and productive in the world. Our mission is to create workforce insights that help leaders make evidence-based people decisions that change behavior and drive measurable business outcomes.
Position Overview & Responsibilities:
WFA Advanced Analytics is responsible for leveraging large quantities of people-related data to assist HR executives, business partners, and employees make data-driven decisions. The Data Scientist Associate will utilize experience exploring data, applying advanced statistical techniques, and designing machine learning algorithms to create innovative products that provide value to the company and its people. S/he will also collaborate with HR Technology and subject matter experts to build robust data pipelines, and will play a key role in improving the analytics infrastructure for WFA. The Data Scientist Associate will report to the Head of WFA Advanced Analytics and join a highly agile cross-functional team that leads some of the most critical analytics projects in HR.
The ideal candidate will demonstrate skill in client engagement, descriptive data analysis, and creative problem solving using programming languages like Python. They will have significant skill and experience in predictive model development & validation, as well as in communicating technical subject-matter to a variety of audiences.
Proven leadership and skills in data exploration, relationship management and data-driven story telling will be vital to success in this position. The candidate must have proven successes in balancing long term visionary planning with the ability to create practical, actionable plans that are coherent and understood by stakeholders. Beyond strong programming and analytics skills, the ideal candidate will be innovative, self-motivated, and inclined to create genuine business value through the alignment of technology, data and business interests.
Work with various HR & functional groups to analyze business needs and design analytics solutions
Gather, manipulate, and explore large datasets to test hypotheses and extract useful insights
Build innovative models, tools and applications that apply data science at scale
Tell compelling stories using data and bring actionable insights to HR and Business leaders
Partner with clients to promote evidence-based decision-making and devise action plans that nudge behavior changes
Clearly communicate insights with teammates and stakeholders
B.S. in a quantitative field required; M.S. or Ph.D. preferred
2+ years of professional experience in a related field
Significant SQL and Python or R programming experience
Experience with Linux and Apache Spark strongly preferred
Experience with Natural Language Processing desired
Strong communication skills and a team-oriented attitude