Sr Data Scientist
About The Position
Our mission at LendingClub is to empower those who strive to achieve better financial health. The Data Intelligence team builds data-driven capabilities that support business processes and decision-making across LendingClub’s lending platform. We are seeking a Sr Data Scientist to apply advanced analytics and modeling to key decisions across the lending lifecycle. In this role, you will transform complex data into insights and decision frameworks that improve how loans are originated, approved, and managed. You will partner with Product, Engineering, Risk, Marketing, Collections, and Operations teams to develop solutions that improve loan application flows, strengthen collections strategies, and generate operational insights. Examples of impact areas include: • Improving loan application flow efficiency and conversion • Enhancing collections strategies through segmentation and forecasting • Delivering operational insights that improve efficiency and decision quality
Requirements
- 6+ years of experience applying data science, statistical modeling, or advanced analytics to real-world business problems
- Strong SQL skills for querying and analyzing large datasets
- Experience using Python for data analysis and modeling, including notebook-based workflows and modern libraries
- Experience with statistical modeling, predictive analytics, and experimentation design
- Experience with feature engineering and dataset development for analytics and modeling
- Experience working with modern data platforms and cloud environments such as Snowflake, Databricks, or AWS
- Experience collaborating with data engineers and software engineers to integrate analytics into production systems
- Strong analytical thinking, problem-solving, and communication skills
- Ability to own projects end-to-end, from problem definition to measurable business impact
- Bachelor’s degree in Statistics, Computer Science, Mathematics, Economics, or a related field; or equivalent work experience
Nice To Haves
- Experience in financial services, lending, credit risk, or fintech analytics
- Experience working with loan origination systems or lending application workflows
- Experience with ML lifecycle or model management tools
Responsibilities
- Develop predictive analytics and statistical solutions to support loan application, approval, and collections processes
- Design and execute data science workflows, including data exploration, feature engineering, modeling, evaluation, and monitoring
- Collaborate with Product, Engineering, Risk, Collections, and Operations teams to integrate analytical solutions into production systems and operational processes
- Design and analyze controlled experiments to evaluate product changes and operational strategies
- Build datasets and analytical frameworks that support reporting and operational insights
- Monitor solution performance and data quality in production environments
- Communicate findings and recommendations clearly to technical and non-technical stakeholders
- Mentor junior team members and contribute to best practices in applied data science
Benefits
- medical, dental and vision plans for employees and their families
- 401(k) match
- health and wellness programs
- flexible time off policies for salaried employees
- up to 16 weeks paid parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
