Senior Data Scientist

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $85.2k - $140.4k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Flagstar Bank

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🏦 Banking

💸 Finance

🏠 Real Estate

Banking • Finance • Real Estate

Flagstar Bank is a diversified commercial bank focused on building relationships to help clients on their financial journeys, whether for personal or business needs. The bank offers a wide range of financial services including personal and business banking, loans, mortgages, wealth management, and investment services. Flagstar is committed to community involvement and meeting the banking needs of diverse neighborhoods, including low- and moderate-income areas, while promoting diversity, equity, and inclusion within its operations.

📋 Description

• 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

• 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

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