Senior Data Scientist, Borrow

About the role

As a Senior Data Scientist in the Borrow division at SoFi, you will play a pivotal role in shaping the future of our lending products. This position requires a blend of advanced analytical skills and a deep understanding of financial services. You will work collaboratively with cross-functional teams to derive insights from complex datasets, driving data-informed decisions that enhance our lending offerings. Your expertise will not only contribute to product development but also help optimize customer experiences and improve operational efficiencies.

Key facts

What you'll do

• Analyze large datasets to identify trends, patterns, and insights that can inform product strategy and improve lending processes.
• Develop predictive models to assess credit risk and enhance underwriting processes, ensuring that our lending decisions are data-driven.
• Collaborate with product managers and engineers to implement data-driven features that improve customer experience and drive engagement.
• Conduct A/B testing and other experimental designs to evaluate the effectiveness of new features and product enhancements.
• Present findings and recommendations to stakeholders, translating complex data insights into actionable business strategies.
• Monitor and evaluate the performance of existing models, making adjustments as necessary to improve accuracy and effectiveness.
• Work closely with data engineers to ensure the integrity and accessibility of data used in analyses and reporting.
• Mentor junior data scientists, providing guidance on best practices in data analysis, modeling, and interpretation.
• Stay current with industry trends and advancements in data science and machine learning, applying new techniques to enhance SoFi's capabilities.
• Participate in cross-functional teams to drive initiatives that align with SoFi's strategic goals and objectives.
• Contribute to the development of a robust data culture within the organization, promoting the use of data in decision-making processes.
• Engage in continuous learning and professional development to enhance your skills and knowledge in data science and finance.

Requirements

• A Master's degree or Ph.D. in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline.
• At least 5 years of experience in data science or a related field, preferably within the financial services industry.
• Proficiency in programming languages such as Python or R, with a strong understanding of data manipulation and analysis libraries.
• Experience with machine learning techniques and frameworks, including but not limited to regression analysis, classification, clustering, and neural networks.
• Familiarity with SQL and experience in working with large databases to extract and analyze data.
• Strong analytical skills with the ability to interpret complex data and communicate findings effectively to non-technical stakeholders.
• Excellent problem-solving skills and a proactive approach to identifying opportunities for improvement.
• Experience with data visualization tools such as Tableau, Power BI, or similar platforms to present data insights clearly and effectively.
• Strong communication skills, both written and verbal, with the ability to convey technical concepts to a diverse audience.

Nice to have

• Experience in the lending or fintech industry, with a solid understanding of credit risk assessment and lending processes.
• Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure for data storage and processing.
• Knowledge of regulatory requirements and compliance issues related to lending and financial services.
• Experience with big data technologies such as Hadoop or Spark for processing large datasets.
• Familiarity with Agile methodologies and experience working in cross-functional teams.

Skills & tools

• Programming languages: Python, R
• Data manipulation and analysis libraries: Pandas, NumPy, Scikit-learn
• Database management: SQL
• Data visualization tools: Tableau, Power BI
• Machine learning frameworks: TensorFlow, Keras, or similar
• Cloud platforms: AWS, Google Cloud, Azure

Practical notes

• This position is based in either San Francisco, CA, or New York City, NY, and offers a competitive salary commensurate with experience.
• SoFi is committed to creating a diverse and inclusive workplace and encourages applications from individuals of all backgrounds.
• Visa sponsorship may be available for qualified candidates.
• Interested applicants can apply through the SoFi career portal at the provided URL.

META

Company: SoFi

Title: Senior Data Scientist, Borrow

Listed

location: CA

San Francisco; NY

New York City