Sr. Data Scientist- Consumer Deposits & Small Business

Full time

Employment Information

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In this role, you can expect to:

  • Be a strategic partner to Product, Pricing and Finance leadership, developing analytical solutions, robust business cases and product / business strategy proposals in line with business objectives
  • Provide analytics support across lifecycle initiatives: customer and deposit acquisition, pricing, customer engagement and lifetime value optimization and portfolio / risk management
  • Develop predictive analytics, customer segmentation approaches and hypothesis-driven data deliverables for continuous process and business optimization
  • Be able to influence executives and business partners with compelling narratives and dashboards reporting
  • Proactively research opportunities for profitable growth and engage the right technical and/or business partners to develop meaningful action plans ensuring compliance with all policies, laws and regulations.
  • 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


  • Master’s Degree in a quantitative field (Computer Science, Data Science, Business Analytics, Statistics or similar);
  • 5-7 years progressive experience with data mining/advanced analytics; Prior experience with Retail Banking (Required) in a role supporting Consumer Deposits, Small Business, Payments, Pricing or Investments (Preferred)
  • Demonstrated experience with data exploration, hypothesis creation, algorithm testing, and scaling to large datasets
  • Proficient using SAS, SQL and one other programming language (Python, R etc) and ability to adapt to various programming languages and environments; Experience working with AWS and Snowflake preferred
  • Ability to conceptualize and execute analytical work based on broad business objectives, build strategic and analytical frameworks and articulate business impact
  • Advanced knowledge of and breadth of analytic methodologies - statistics & machine learning - e.g. linear and non-linear regression, logistic regression, clustering (k-means, EM, Mean-shift), classification algorithms, decision trees, ensembles (bagging, boosting, rand)
  • Ability to work with large scale data to derive insights through data analysis, optimization or risk classification algorithms and communicate results to Executives and non-technical audiences
  • Individually motivated, strong business acumen and quantitative / problem-solving skills with a focus on delivery in a fast-paced environment.
  • Excellent written and verbal communication skills and comfort partnering with leadership

For NYC Job Applicants: The base annual salary range for this position is $105,125-$175,000. The exact compensation may vary based on skills, experience, training, licensure and certifications and location.


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