Data Scientist [Multiple Positions Available]

DESCRIPTION:

Duties: Partner with Product Groups and Lines of Business to assess business drivers and underlying data.

Collaborate with business owners to formulate quantifiable goals.

Advise on strategies and analysis to achieve business insight for decisioning and prioritization.

Execute KPIs, trend analysis, and analyses, including segmentations, optimizations and other techniques to improve business performance.

Collaborate across functions and lines of business to drive analytics.

Derive insights and socialization of results.

Import, clean, transform and validate data from multiple sources in preparation for analytics.

Assess customer interactions and events across a variety of channels (calls, branch, online, mobile) to understand customer journeys and friction points.

Review banker engagement data with customer data to help formulate engagement and journey insights.

Leverage a variety of analytical applications to describe, analyze, and interpret trends and patterns in complex data sets.

Prepare and deliver presentations summarizing sharp insights and conclusions to executives.

Partner and collaborate closely with data management teams, strategy teams, and other analytics resources across multiple functional teams.

Leverage large language models (LLM) and generative AI technologies to efficiently process information, extracting valuable insights and trends to inform data-driven decision-making.

Utilize statistical methods to effectively sample and identify appropriate cohorts, ensuring representative and reliable data collection for comprehensive analysis.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Business Analytics, Business Administration, Finance, Statistics, Machine Learning, or related field of study plus 1 year of experience in the job offered or as Data Scientist, Quant Analytics, Deputy Manager, or related occupation.

The employer will alternatively accept a Bachelor's degree in Business Analytics, Business Administration, Finance, Statistics, Machine Learning, or related field of study plus 3 years of experience in the job offered or as Data Scientist, Quant Analytics, Deputy Manager, or related occupation.

Skills Required: This position requires experience with the following: Utilizing Business Intelligence tools such as SQL, Python, or Alteryx to explore data, analyze information and formulate into insights, and assess field performance related to client satisfaction and portfolio growth; Utilizing at least one programming language to extract data, develop data sets and flows, and optimize queries to produce efficient scripts; Defining business KPIs with project partners and establishing analytical test and measurement frameworks through Python or SQL tools; Designing approaches and presenting analytical insights to analytic and non-analytic functions to showcase results that answer field related questions with a focus on banker production including client interaction and portfolio grow...