Senior Data Scientist

🕒 Ontem

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $85.218 - $140.390 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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Flagstar Bank

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

🏦 Bancário

💸 Finanças

🏠 Imobiliário

Banking • Finance • Real Estate

O Flagstar Bank é um banco comercial diversificado focado em construir relacionamentos para ajudar os clientes em suas jornadas financeiras, seja para necessidades pessoais ou empresariais. O banco oferece uma ampla gama de serviços financeiros, incluindo banco pessoal e empresarial, empréstimos, hipotecas, gestão de patrimônio e serviços de investimento. O Flagstar está comprometido com o envolvimento comunitário e com o atendimento das necessidades bancárias de bairros diversos, incluindo áreas de baixa e média renda, enquanto promove diversidade, equidade e inclusão dentro de suas operações.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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