What are the responsibilities and job description for the Data Scientist Associate position at JPMorgan Chase?
Are you deeply curious marketing data scientist looking to lead analytical strategies to tie analytics to business results? This role may be an exciting opportunity for you. The Chief Data Scientist Office is staffed with highly skilled individuals with PhDs, Master's, and Bachelor’s Degrees who provide advanced analytical support to inform key strategic and tactical business decisions. The team is built around the pillars of innovation in applied data science and measurement consistency across businesses. It has a deep commitment to fostering a culture of experimentation across the teams it supports.
As a Data Scientist Associate, within the Marketing Data Science team of the Chief Data Scientist Office at JPMorgan Chase, you will be primarily responsible for structuring analytical experimental test designs & measurement plans for acquisition, deepening and engagement marketing programs in the Consumer & Community Banking business unit.
Job Responsibilities:
• Partner closely with marketing segment, product, sales and channel managers to help develop analytically driven marketing campaign strategies and formalize short & long-term testing roadmaps
• Use advanced data science methods to develop experimentation test designs consistent with learning agenda, statistical requirements, financial and operational constraints
• Document selection criteria, targeting methodology, target audience profiles, and financial assumptions; and communicate them to audience management, channel, modeling & analytics teams
• Use marketing data to build analytical forecasts for campaigns and provide quantitative inputs to help optimize the marketing budget
• Leverage data visualization techniques to present analytical insight to stakeholders and business unit leadership
Required qualifications, capabilities, and skills:
• 1 year's of experience with Bachelor's degree, or equivalent, with a quantitative focus in business, math, economics, statistics or analytics
• Knowledge of descriptive analytic techniques with experience working with Python or SAS, SQL, Excel, and large data sets
• Excellent structured and unstructured problem solving skills
• Excellent written & verbal communication skills that allow clear and concise presentation of conclusions and recommendations to a variety of business audiences
• Able to manage multiple concurrent projects in a fast-paced environment
• Able to work independently and in a team environment
Preferred qualifications, capabilities, and skills:
• MBA or Master’s Degree with a quantitative focus
• Familiarity with design of experiment methods
• Work experience in the financial sector or other business environment