Data Scientist Senior Associate

NY, United States

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Come join us to reshaping the future!!

Job Description

The Marketing Analytics Senior Associate position is an opportunity for a hands-on data scientist to influence and improve marketing targeting, strategy, and measurement at JP Morgan Chase. The Private Label Data & Analytics team works to empower the Dealers and Consumers of our Automotive brand partners through data science and analytics. In this position you will play a critical role in driving the delivery of marketing analytics solutions through collaboration with major OEMs including Aston Martin, Jaguar, Land Rover, Rivian, and Subaru, as well as the Chase Auto Finance organization.

 

Job Responsibilities

  • Drive the development and delivery of data science-driven marketing solutions to empower Chase Auto Finance
  • Building relationships with internal and external stakeholders in our Private Label Automotive Finance business
  • Communicating analytical findings to senior leaders through data visualization and storytelling
  • Designing and delivering campaign performance evaluation solutions
  • Developing data-driven approaches to identifying campaign audiences
  • Collaborating with stakeholders to develop project roadmaps for business problems

Required qualifications, capabilities, and skills

  • 4+ years of experience as a Data Scientist or in an adjacent quantitative role.
  • Background in marketing analytics methods and practices e.g. experimentation, attribution, uplift modeling, and propensity modeling
  • Knowledge of a range of analytics languages and tools (e.g. Python, SQL, R, git) and data visualization solutions
  • Foundational knowledge of statistical analysis, causal inference, forecasting, and ML algorithms

Preferred qualifications, capabilities and skills:

  • Masters or PhD in a quantitative or related discipline preferred, but not required
  • Experience in the automotive, financial services, or technology industry preferred but not required.

 

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 may receive commission-based pay and/or discretionary incentive compensation 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, 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.

Equal Opportunity Employer/Disability/Veterans

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Causal inference Data visualization Finance Git Machine Learning PhD Python R SQL Statistics

Perks/benefits: Career development Competitive pay Health care Wellness

Region: North America
Country: United States

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