This role is a combination of internal partner relationship management and analytical leadership, and will serve as a lead to other analysts on our team.

Job summary:

As a Data Scientist Lead in the Business Banking (BB) Data Analytics team you will provide analytics, business intelligence, and automated solutions to our stakeholders in the Business Banking Chief Administrative Organization (CAO) covering controls governance, business practices, change readiness, supporting the Sales, Marketing, and Product teams for BB.  You will also be responsible for supporting and managing partner relationships with the BB CAO team through analytical data exploration and reporting on outcomes, ad-hoc (diagnostic/tactical/strategic) deep dives, and dashboard build/automation with an emphasis on controls execution and monitoring.  In this role, you will serve as an internal partner collaborator and provide analytical leadership, and will be a leader to other analysts on our team.  You will be analytically/technically strong, will be resourceful with strong problem solving skills, will have great communications skills, and will employ a collaborative approach working with colleagues and business partners.

Job responsibilities:

Provide thought leadership and technical proficiency in data driven decision and opportunities using various analytic methods such as predictive modeling, clustering, text mining, machine learning statistical forecasting, optimization, simulations etc. Analyze data to explore improvement opportunities, assessing strengths through confidence of data inputs, identifying data defects, recognizing statistical anomalies, and linking data to business processes Own program, processes, partnerships, key communications with limited oversight Responsible for coaching and mentoring less experienced team members Communicate complex analytical results Deliver tactical and strategic marketing, sales, product, and business control insights through analytics, reporting, and state of the art visualization techniques Partner with stakeholders to solve quantitative problems related to optimizing business processes, performance, and controls

 Required qualifications, capabilities, and skills:

PhD or Masters in a related field (Computer Science, Operational Research, Physics, Mathematics, Neuroscience, Engineering, Econometrics, Statistics, Other Sciences etc.) or equivalent with at least 5 years of advanced analytics experience Exceptional interpersonal and collaboration skills, ability to explain complicated mathematical concepts, algorithms, and data structures with an ability to influence both internal & external business partners  Proficiency in data analysis languages such as SQL, Python, SAS, R, etc. Experience with dynamic interactive reporting applications such as Alteryx and Tableau Experience in Big Data platforms, AWS Cloud, related technologies  Technical understanding of data extraction, transformation, and load processing  Strong communication skills including the ability to convey complex information concisely to senior business leaders