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Senior Data Scientist
Flagstar BankData Scientist Sr performing analytics in both structured and unstructured data. Collaborating with stakeholders to develop insights and deliver reports for banking businesses.
Tech Stack
Tools & technologiesAWSCloudETLInformaticaPythonSQLTableauVBA
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analyticsdata analysisregressionmachine learningETLdata wranglingExcel VBASQLPythonR
Soft Skills
presentation skillsproblem-solvingcollaborationcommunicationorganizational skills
Certifications
FRMCFA