Santander Bank, NA Sr. Associate, Data Science in Boston, Massachusetts
Sr. Associate, Data Science - 1708061
Analytics & Decision Sciences at Santander is focused on leveraging all of our data assets to optimize profitability, grow customer relationships and improve experience. We are looking for an experienced individual to help build a new team, which is focused on enhancing our customer and product segmentation, as well as the profitability from our customers.
Key responsibilities include:
Lead cross-functional initiatives using advanced analytic methods to develop unique customer and product segmentation, client target models and profitability analysis that guide business investment and resource decisions
Partner with internal and external stakeholders to develop meaningful roadmaps for Customer Lifetime Value (CLTV), Profitability & Marketing Measurement work-streams and deliver our organizational & business commitments
Leverage Machine learning tools & capabilities to develop Profitability-based Scorecards, Customer Lifetime Value Models & drive use-cases to optimize marketing investment and strategic decisions
Provide thought leadership and lead projects independently to enhance our ability to acquire new & profitable customers through cross-sell and prospecting efforts
Understand data processes & identify opportunities to enhance Campaign Measurement & Marketing Effectiveness function
Develop talent pool by mentoring & coaching junior analysts
Build lasting partnerships internally and externally so as to encourage open communication and knowledge sharing
At Santander, we value and respect differences in our workforce and strive to increase the diversity of our teams. We encourage everyone to appl y.
Solid consumer and SME P&L knowledge required. Self-motivated with ability to drive projects independently with strong project management and partnership skills. Must be able to communicate analytic results to non-technical partners. Strong track record of analytics innovation, data science and new solution development. Independent thinker that can stretch the boundaries of traditional analytic problem solving. Experience working with large volumes of data.
Education: Bachelors or Equivalent
Experience: At least 7 years
Technical Qualifications: Working knowledge of structured programming languages including SAS, SQL, UNIX and/or R; exposure to unstructured data platforms including Hadoop and/or Cloudera preferred
- Masters or Bachelor in Statistics, Mathematics, Economics, Finance, Computer Science, or Engineering.
Job : Data Science
Primary Location : Massachusetts-BOSTON-75 State Street - 06366 - State Street-Corp
Organization : Consumer & Business Banking (1001)
Schedule : Full-time
Job Posting : Dec 11, 2018, 2:42:44 PM
AN EQUAL OPPORTUNITY EMPLOYER M/F/Vet/Disabled/SO