Sr Data Science Analyst
1 month ago
The Fay Group originated in 2008, is a full-scale real estate services company that offers mortgage servicing, property renovations, business purpose lending, insurance, and more to homeowners, investors, and clients nationwide. Fay handles a wide range of mortgage loan solutions for prospective homeowners with varying credit histories and also offers to refinance for existing mortgages.
The Fay Group is made up of separate business units offering a complete range of home ownership products and services that provide customers with solutions to navigate the challenges of home ownership while helping them build toward their long-term financial goals. We consider the people behind those mortgages and work hard to give them the best chance possible to stay in their homes.
Fay Cares
The Fay-Constructive Foundation was established to fulfill the philanthropic mission of The Fay Group employees to serve the communities in which they live and work. Over 80% of employees across Fay, Constructive, and GenStone affiliate companies make voluntary contributions to the Foundation. Each quarter, their contributions are donated to organizations focused on improving education opportunities, combating poverty, and supporting military service members and first responders.
Come join us on our journey to serve our customers and be the leader in our industry We are currently looking for a Senior Data Science Analyst to join our team
Reporting to the SVP, Data Science, this position is responsible for transforming data into actionable insights that drive strategic decision-making across the organization. The Senior Data Science Analyst utilizes advanced data science methodologies and leads and mentors junior analysts while managing complex projects.
The position oversees the development and execution of advanced analytical models and machine learning algorithms. This role collaborates with internal departments and stakeholders to ensure data science and analytics initiatives are integrated with other business processes. Additionally, this position drives the implementation of innovative data solutions that enhance business operations and outcomes.
What you will do for Fay:
- Oversee the development and execution of advanced analytical models and machine learning algorithms
- Manage end-to-end data science projects, from hypothesis formulation through to model deployment and monitoring
- Provide high-level data-driven insights that inform strategic business decisions
- Ensure projects align with business objectives and deliver measurable value
- Ensure data integrity, model accuracy, and the ethical use of data in all project
- Mentor junior staff, fostering their professional growth in data science
- Collaborate with other departments to ensure that data science and analytics initiatives are integrated with other business processes
- Champion innovation by proposing and implementing new data-driven solutions
- Communicate effectively with technical and non-technical stakeholders, including senior management, to ensure that data science and analytics insights are understood and acted upon
- Implement best practices for data governance and compliance
- Maintain knowledge of current trends in data science, machine learning, and AI, and integrate these into our analytical framework
- Develop domain knowledge of Fay's business to include an understanding of organizational objectives.
- Maintain broad influence through ongoing development of relationships across the organization
- Ensure compliance with Fay's policies, processes, and practices. Successfully complete all department and company-required training
- Model Fay's Values, Operating Principles, ethical standards, professionalism and code of conduct
- Perform other duties and responsibilities as assigned
- Bachelor's degree in Computer Science, Statistics, Mathematics, or related field required
- Master's degree in Computer Science, Statistics, Mathematics, or related field preferred
- 5+ years' experience in data science, analytics, or related field required
- 3+ years' experience in a senior or leading role in data science, or a related field required
- Advanced working knowledge in analytics, statistics, machine learning, and data mining required
- Advanced working knowledge in relevant programming languages, tools, and technologies (e.g., Python, R, Hadoop, Spark, etc.) required
- Proficient in data visualization tools (PowerBI, Tableau) and database management (SQL, NoSQL)
- Certifications in data science or analytics preferred
- Experience in the financial services or mortgage industry prefer
- Strong leadership, project management and team building abilities
- Ability to analyze and interpret data to identify opportunities and propose solutions
- Strong analytical skills coupled with sound judgement
- Strong problem-solving skills; ability to develop creative solutions to complex business problems
- Strong communication and collaboration skills; ability to work effectively with technical and non-technical stakeholders
- Strong verbal and written communication skills
- Strong project management skills
- Strong attention to detail; strong compliance orientation; high quality of work product
- Ability to prioritize; effective time management
- Strong interpersonal skills
- Collaborative work style; high team-orientation
- Open to change; agile; high learning agility
- Self-directed; ability to proactively ask questions and surface issues/ concerns
- Professional maturity, integrity, ability to maintain confidential data and information
- Strong business acumen; strong fiscal and technical aptitude
- Strong skills in MS Word Excel and PowerPoint
Equity and Inclusion are embedded into our way of working at Fay. We believe that the best ideas come from having a team that is diverse in backgrounds, experiences, and perspectives. We strive to ensure each of our employees feels valued, respected and included and is presented with equal opportunities to be successful here at Fay. We are proud to be an equal-opportunity workplace. The Fay Group and affiliated companies participate in E-Verify. For more information go to www.dhs.gov/E-Verify. E-Verify is a registered trademark of the U.S. Department of Homeland Security.
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