Job Information
Santander US Data Science Associate- Consumer Deposits. in Boston, Massachusetts
Data Science Associate- Consumer Deposits.
Boston, United States of America
In this role, you can expect to:
Develop concrete hypothesis-driven analytical deliverables and compelling narratives and/or management dashboards to guide executive decision making.
Leverage prior domain knowledge of Consumer Deposits, Small Business or Pricing and proactive research of industry / peer trends to identify growth opportunities.
Understand product P&Ls, portfolio risk and value drivers to build robust business cases and product / business strategy proposals.
Conduct ongoing analysis of key business drivers, identify trends and monitor performance indicators to communicate and improve business performance and evaluate effectiveness of strategic/tactical initiatives.
Drive analytics projects end to end: framing and structuring key questions, building hypothesis , collecting and analyzing data, and delivering key insights or analytical solutions in partnership with cross-functional teams.
Develop customer profiles and recommend data-driven segmentation approaches , deliver actionable insights to improve customer engagement and lifetime value.
Have a test and learn mentality and employ problem solving frameworks and big picture thinking to translate both ambiguous and tactical business queries into analytical deliverables, aligned to strategic goals.
Partner closely with data scientists and data engineers to analyze complex data from disparate systems, implement analytics solutions and evangelize data best practices.
Requirements:
Bachelor's Degree in a quantitative field (Computer Science, Data Science, Business Analytics, Statistics or similar); master's degree preferred.
3-5 years’ experience in a similar function (e.g. Product Analytics, Strategy, Financial Modeling, Data Modeling and Visualization); Prior experience with Retail Banking (Required), a role supporting Consumer Deposits, Small Business or Pricing preferred.
Demonstrated experience with SAS, SQL and one other programming language (Python, R etc) and ability to adapt to various programming languages and environments.
Familiarity with data visualization tools (Tableau) and project management tools like JIRA and Confluence.
Individually motivated, strong business acumen and quantitative / problem-solving skills with a focus on delivery in a fast-paced environment.
Knowledge of the principles of machine learning, classification models, time series regression and stochastic statistics to deliver improved business performance.
Excellent written and verbal communication skills and comfort partnering with leadership.
Diversity & EEO Statements: At Santander, we value and respect differences in our workforce and strive to increase the diversity of our teams. We actively encourage everyone to apply.Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law.Working Conditions: Frequent Minimal physical effort such as sitting, standing and walking. Occasional moving and lifting equipment and furniture is required to support onsite and offsite meeting setup and teardown. Physically capable of lifting up to fifty pounds, able to bend, kneel, climb ladders.Employer Rights: Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate at any time for any reason.
Primary Location: Boston, MA, Boston
Other Locations: Massachusetts-Boston
Organization: Santander Bank N.A.
AN EQUAL OPPORTUNITY EMPLOYER M/F/Vet/Disabled/SO