Data Scientist Sr

The Data Scientist Sr responsibilities include independently perform data analytics (ranging from data analysis, regression to machine learning) in a variety of environments using structured and unstructured data. 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. Quickly learn complex community banking dynamics, work closely with stakeholder to understand business objectives and design data-driven solutions that create competitive differentiation. 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., * Independently perform data analytics (ranging from data analysis, regression to machine learning) also guide other data scientists properly in a variety of environments using structured and unstructured data.

• 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.
• Uses independent judgement and discretion to make decisions.
• Analyzes and resolves problems., * Performs special projects, and additional duties and responsibilities as required.
• Consistently adheres to regulatory and compliance policies and standards linked to the job as listed and complete required compliance trainings. Accountable to maintain compliance with applicable federal, state and local laws and regulations.

• Education level required: Undergraduate Degree (4 years or equivalent).
• Minimum experience required: 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., * Education level preferred: Master's Degree (or Postgraduate equivalent) includes a Master of Business Administration (MBA) with a focus on data analytics or a Master of Science (MS) in data science, business analytics, computer engineering, etc.
• 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.

Job Competencies:

• Knowledge of advanced analytics (e.g. Statistical modeling, machine learning, text analytics) and big data environments.
• Knowledge of retail and/or commercial banking.
• Good Interpersonal, communication and presentation skills.
• Results oriented with a strong work ethic and sense of urgency.
• Demonstrates a strong ability to build and maintain effective relationships with stakeholders by communicating clearly, engaging in proactive collaboration, and leveraging cross functional insights.
• Aligns relationship building efforts with enterprise goals to accelerate performance and drive strategic results.
• Builds trusted client relationships, whether internal or external, by identifying needs and delivering tailored solutions to enhance the overall client experience.
• Fosters or supports a positive work culture and productive work environment, displaying importance of effective relationships with customers and stakeholders.
• Physical demands (ADA): No unusual physical exertion is involved.

We are committed to providing clear and accurate compensation information in accordance with applicable laws. Actual starting base pay will be determined based on location, experience, and other non-discriminatory factors permitted by law. Total compensation may also include variable incentives, bonuses, commissions, or other awards as outlined in the offer of employment. Flagstar provides teammates access to a variety of benefits including medical, dental, vision, life, and disability insurance, as well as a comprehensive leave program. Please click the following link for detailed information: Benefits | Flagstar Bank

Pay Range $85,218.75 - $140,390.00

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, and the San Francisco Fair Chance Ordinance, as appliable.