Data Scientist Associate

The Position:

The Data Science Associate, Card Data Science Capabilities and Strategic Analytics, is a unique opportunity for a well-rounded data analytics professional to leverage data science methods and analytics to deliver actionable insights and data-driven solutions across the Card business. 

Job Summary:

The Data Science Associate, Card Data Science Capabilities and Strategic Analytics, will leverage skills in building advanced analytics, analysis, data querying and extracting insights from big data to support our Credit Card business. This role is a hands-on mix of consulting know-how (problem solving, critical thinking and communication), analytical proficiency in statistics, data science and machine learning/AI, proficiency in SQL/Python programming, visualization methods and technologies.

Job Responsibilities:

• Leverage your knowledge and analytical skills to help uncover novel use cases of Big Data analytics that can be deployed at scale across the Credit Card business 
• Help partners in the Card business define their business problems, understand root causes and scope analytical solutions to address it
• Build an in-depth understanding of the Card domain and available data assets
• Research, design, implement, and evaluate analytical approaches and models
• Take initiative in evaluating and adapting new approaches from data science research
• Perform ad-hoc exploratory analyses and data mining tasks on diverse datasets from small scale to “big data”
• Investigate data visualization and summarization techniques for conveying key findings
• Communicate findings and obstacles to our stakeholders in the Card business to help drive the delivery to market
• Code your solutions (this is a hands-on position requiring strong programming skills)
• Collaborate across teams to deliver the best solution for client, working with a wide range of internal resources

Required qualifications, capabilities, and skills:

• Bachelor’s degree in relevant quantitative field required.
• 2+ years of hands-on experience with data analytics; experience evaluating complex business problems, data analysis and devising recommendations and analytics to solve those business problems.
• Exceptional analytical, quantitative, problem solving, and communication skills.
• Excellent leadership, consultative partnering and collaboration across teams.
• Knowledge of statistical software packages (e.g. Python, R and SAS) and data querying languages (e.g. SQL).
• Experience across a broad range of modern analytics tools (e.g., SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx).
• Ability to convey complex information in an understandable, compelling, and persuasive manner to both technical and non-technical audiences.

Preferred qualifications, capabilities, and skills:

• Understanding of the key drivers within the credit card P&L is preferred. 
• Advanced degree preferred in analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, other Data Science fields)
• Financial services background preferred, but not required.
• M.S. degree or equivalent.

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Those in eligible roles, discretionary incentive compensation which may be awarded in recognition of 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,