Data Scientist Lead

DESCRIPTION:

Duties: Coordinate initiatives which require the development and deployment of advanced analytical solutions, including model development for the most complex business needs. Responsible for business impact and robustness of solutions delivered, including platforms, procedures, models, and test designs. Probe for unidentified business needs and explore opportunities for team to develop appropriate, data- based approaches to those needs. Direct business-impacting team activities and articulate to senior management business plans and results of initiatives. Follow industry trends and test new tools and techniques to solve new/existing business challenges. Mentor other analysts and act as a thought-leader in data science across the organization. Act as a primary contact with senior managers in several business functional areas.

QUALIFICATIONS:

Minimum education and experience required: Master’s degree in Integrated Marketing, Business Analytics, or other quantitative related field of study plus 3 years of experience in the job offered or as Data Scientist, Business Analyst, Statistician, or related occupation. The employer will alternatively accept a Bachelor’s degree in Integrated Marketing, Business Analytics, or other quantitative related field of study plus 5 years of experience in the job offered or as Data Scientist, Business Analyst, Statistician, or related occupation.

Skills Required: Requires experience in the following: SQL; Python; Creating and analyzing large data sets (e.g. 50M+ rows), including data transformations (including log transformation, clipping methods, and data scaling); Machine Learning and modeling, including supervised and unsupervised learning models and advanced analytics (including linear and regression, classification, clustering, causal inference, and tree-based models); Experimentation design, including A/B testing and incrementality testing; Creating data visualizations and Business Intelligence dashboards using Tableau to communicate data findings to non-technical stakeholders; Translating business problems into analytical projects and breaking the business problem into components that could be tackled in parallel or in sequence analytically; Owning and leading an analytics workstream, including planning and project management; and statistics, probability, data modeling, automation of workflows, and Python libraries for machine learning (including NumPy, Pandas, and MatPlotlib).

Job Location: 480 Washington Blvd., Jersey City, NJ 07310. Telecommuting permitted up to 40% of the week.

Full-Time. Salary:  $155,000 - $210,000 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 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