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Flagstar Bank

Senior Data Scientist

Flagstar Bank

Data Scientist Sr performing analytics in both structured and unstructured data. Collaborating with stakeholders to develop insights and deliver reports for banking businesses.

Posted 6/17/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $85,218 - $140,390 per yearWebsite

Tech Stack

Tools & technologies
AWSCloudETLInformaticaPythonSQLTableauVBA

About the role

Key responsibilities & impact
  • Independently perform data analytics (ranging from data analysis, regression to machine learning)
  • Present complex concepts in a format digestible by a diverse audience across the organization
  • Build and improve the development of metrics, reports and analysis into BI dashboards that support a wide array of banking businesses
  • Manage ongoing data analytics processes, document calculations, code, and adhere to proper risk and compliance practices
  • Trouble shoot issues, suggest alternative approaches or controls to mitigate risks/gaps identified
  • Develop and design data-driven solutions in the areas of client insights and segmentation, sales & marketing lead generation, performance analysis and product analytics
  • 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
  • Assume end-to-end responsibilities on key initiatives assigned, and leverage partnership to achieve the shared vision

Requirements

What you’ll need
  • Undergraduate Degree (4 years or equivalent)
  • 5+ Years relevant data engineering, data analytics, computer science, business intelligence industry experience
  • Experience leveraging tools for ETL and data wrangling
  • Experience programming statistical & data science languages (e.g. Excel VBA, SQL, Python, R)
  • Experience using modern visualization tool (e.g. PowerBI, Tableau)
  • Knowledge of advanced analytics (e.g. Statistical modeling, machine learning, text analytics) and big data environments.
  • Working knowledge of cloud computing tools on any of the major cloud platforms preferred
  • Completion or progress towards certifications such as FRM or CFA preferred
  • Experience with ETL tools such as Informatica, AWS, Talend, or Snowpark
  • Knowledge of data governance, security, and compliance requirements in the banking industry

Benefits

Comp & perks
  • medical, dental, vision, life, and disability insurance
  • comprehensive leave program

ATS Keywords

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Hard Skills & Tools
data analyticsdata analysisregressionmachine learningETLdata wranglingExcel VBASQLPythonR
Soft Skills
presentation skillsproblem-solvingcollaborationcommunicationorganizational skills
Certifications
FRMCFA