Data Scientist [Multiple Positions Available]

DESCRIPTION:

Duties: Work on data science initiatives to drive customer engagements through personalization and targeting. Support analytics projects across products, sales, operations, and tech teams. Deliver model strategy roadmaps to continuously improve accuracy and functionality of forecasts and budget management. Drive delivery of analytics including sales forecasting, operations forecasting, and segmentation, as well as crafting data stories and presentations of findings to stakeholders. Collaborate across functions and Lines of Business to drive Analytics and Insights. Work with Sales, Operations, and Product teams to understand business needs and develop analytics solutions. Prepare and deliver presentations summarizing insights and conclusions to senior leaders. Review existing reports on private companies, industries, and macroeconomic conditions to identify relevant themes and risks. Summarize key takeaways and implications for priority merchant categories and consumer spending for stakeholders. Use report insights to support forecasting and planning discussions to provide context, explain drivers, and highlight watch items. Maintain and refresh a curated library of approved reports and reference materials used by the team.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Statistics, Mathematics, Information Science, or Business Analytics or related field of study plus 3 years of experience in the job offered or as Data Scientist Associate, Data Analyst, or a related occupation.

Skills Required: This position requires three (3) years of experience with the following: Developing and optimizing SQL queries to extract and manipulate datasets for business intelligence purposes including querying and joining data across various levels and environments; Creating Python scripts for data analysis, automation, and the development of machine learning models to streamline data processing; Conducting research on transactions using regular expression rules to query data in Snowflake and AWS Athena and evaluating consumer behavior to predict spending at a merchant; Developing sales and operational forecasts using stats and Machine learning models such as regression, time series, XGBoost, or random forest models to enhance sales capabilities and drive business growth; Validating and enhancing robust models to improve strategic planning and risk assessment; Improving, fine-tuning and implementing machine learning algorithms to improve predictive accuracy and automate decision-making; Using customer transaction data to develop personalized targeting strategies, monitoring campaign performance and improve customer engagement; Using PitchPro+ in Microsoft PowerPoint to create executive level presentations; Presenting analysis methodology and results to non-technical stakeholders; Designing and developing interactive Excel and PowerPoint reports with advanced functionalities including lookup, index match, and calculations for non-technical stakeholders.  

Job Location: 450 W 33rd St, New York, NY 10001.

Full-Time. Salary:  $150,433.00-$170,000.00 per year.

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, paid in the form of cash and/or forfeitable equity, 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