Data Science Analyst

Founded in 2008, The Fay Group is a diversified real estate services company offering a complete range of home ownership products and services to include mortgage servicing, property renovations, property management, realty, business purpose lending, and insurance to homeowners, investors, and clients nationwide. We consider the people behind those mortgages and work hard to give them the best opportunity to stay in their homes by providing solutions to navigate the challenges of homeownership while working toward their long-term financial goals.

We are currently looking for a Data Science Analyst to join our team.

Reporting to the SVP, Data Science, this position supports the data science team in developing and implementing statistical models that use machine learning, time-series analysis, Monte-Carlo simulations, and reinforcement learning techniques. The position will assist in analyzing large datasets to uncover patterns, trends, and insights to inform decision-making across the organization.

This role is responsible for data mining, predictive modeling, and statistical analysis to help solve complex business problems and improve operational efficiencies. Additionally, the Data Science Analyst collaborates with internal departments and stakeholders to ensure data science and analytics initiatives are integrated with other business processes.

• Bachelor's degree in Computer Science, Statistics, Mathematics, or related field required
• 2+ years’ experience in data analysis, research, or related field required
• Basic understanding of machine learning concepts and algorithms required
• Strong working knowledge of relevant programming languages, tools, and technologies (e.g., Python, R, Hadoop, Spark, etc.) required
• Certifications in data science or analytics preferred
• Experience in the financial services or mortgage industry preferred
• Ability to analyze and interpret data to identify opportunities and propose solutions
• Strong analytical skills coupled with sound judgment
• 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, and ability to maintain confidential data and information
• Strong business acumen; strong fiscal and technical aptitude
• Strong skills in MS Word, Excel, and PowerPoint