Job Location: Troy, MI
Data Science Manager – Troy, MI (Hybrid) or Work from Home United States
Headquarters-Troy, MI
Flagstar Bank offers exceptional full-service banking and lending expertise with a distinctive, personal focus. Chartered in 1987 as a federal savings bank, today Flagstar has assets of $31.0 billion, is the sixth largest bank mortgage originator nationally, and the second largest savings bank in the country.
The Mortgage Data Science team will be responsible for driving organizational transformation through the use of data, analytics, BI, and AI/ML in order to support rapid business growth and provide direct input to senior leadership to implement change. Within our inclusive, open and agile culture, the data science team will build strong relationships, learn complexities of banking, interpret and present actional insights, drive digital adoption, lead new ways of doing business and become a true champion of impactful, industry-leading data-driven analytic solutions. The outcome analytics products will help Mortgage gain thorough customer-centric views of relationships; evaluate profitability and long-term strategy for mortgage products, advance the best-in-class performance as well as achieve higher efficiency in operation.
We’re looking for a data science manager who is passionate about bringing success by collaboratively working with our business partners and leading a team of different levels of data scientists. The ideal candidates must demonstrate thought leadership on data science best practices, team leadership, and innovative problem solving. S/he will be leading the build out, articulating, and delivering genuine business value through the alignment of technology, architecture, data, and business interests.
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Collaborate with business leaders to translate business goals and priorities into tactical solutions
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Provide thought leadership to the team and business partners driving project execution using latest technologies including AI/ML technologies and solving problems.
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Possess expert knowledge of business/data/technology or ways to gain expert knowledge and function as the ultimate advisor for the team
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Create an inclusive and energizing team culture. Coach junior data scientists, support their career development, and advocate for them. Establish and maintain a team brand to demonstrate credibility, expertise, and agility
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Work collaboratively with stakeholders across the company to integrate innovation concepts into the business and ensure successful implementation and realization.
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Develop or Guide the development of data analytics (ranging from data analysis, regression to machine learning) in a variety of environments using structured and unstructured data.
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Design and guide the development of the deliverables which translate the complex concepts in a format digestible by a diverse audience across the organization in the form of presentation, business intelligence dashboards and/or analytics tools.
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Identify and lead the remediation of key data quality issues impacting our ability to deliver. Take ownership of the end-to-end product cycle including data science solution design, technical delivery, and value quantification.
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Partner across the functions, including the line of businesses, IT, Data Office, and/or third-party vendors to co-build the data foundation and analytics delivery infrastructure for the action-driven insights and reporting
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Oversee the appropriate documentation of calculations, code, and foster risk management culture throughout design, development, and deployment practices. Suggest alternative approaches or controls to mitigate risks/gaps identified.
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Bachelor’s Degree Required (Business, analytics, or some other related field)
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Master’s Degree Preferred (Business, analytics, or some other related field)
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Minimum 8 years of relevant experience in data analysis, modeling and visualization
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Minimum 3 years of hands on industry experience in leveraging data science and analytics to solve business problems
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MS or PhD in a quantitative discipline (e.g. Computer Science, Mathematics, Statistics, Operations Research, Data Science, Economics, Engineering, or Physics)
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Expert knowledge in advanced analytics (e.g. Statistical modeling, machine learning, text analytics)
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Proficiency in programming with statistical & data science languages (e.g. Excel VBA, SQL, Python, R)
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Proficiency in leveraging tools for ETL and data wrangling
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Proficiency in modern visualization tool (e.g. Power BI, Tableau, D3.js)
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Intellectual curious and self-driven in understanding business domains and their data
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Experience of cloud computing tools on any of the major cloud platforms preferred
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Prior management experience is required.
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Excellent verbal, written, and interpersonal skills
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Personal values consistent with the corporate values of Flagstar
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Completion or progress towards certifications such as FRM or CFA preferred
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Ensures compliance with applicable federal, state and local laws and regulations. Completes all required compliance training. Maintains knowledge of and adhere to Flagstar’s internal compliance policies and procedures. Takes responsibility to keep up to date with changing regulations and policies.
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