Sr Data Scientist

LendingClub•San Francisco, CA

1d•Hybrid

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