We are looking for a Senior Data Scientist interested in solving one of the world's biggest problems: financial inclusion. As a Data Scientist, you will lead data science initiatives that drive improvements in customer experience, operational efficiency, and recovery. You will own the modeling cycle through scoping, development, deployment, after-sale, and monitoring, with a keen focus on business outcomes and stakeholder management.What You'll Do Embed with business stakeholders to identify, test, and implement data science solutions with a particular focus on econometric models, experiments, and frameworks to assess challenging causal problems such as lifetime value or retention.Develop a roadmap in collaboration with stakeholders to organize and prioritize initiatives.Own full-cycle of machine learning products from ideation and training through deployment into our production environment – including real-time inference – and after-sale service. Obsess over machine learning products, deploying and iterating rapidly when necessary.Propose, design, and analyze large-scale online experiments and support business stakeholders with experimental design best practices.Become a multiplier for the data science team by sharing work, providing mentorship to junior team members, providing technical feedback, and developing work into shared team tooling.Be a thought partner for the business, leverage data insights and strong communication skills to influence company strategy. Develop roadmaps in collaboration with stakeholders to organize and prioritize initiatives.What You'll Need 4+ years of experience in a data science role or equivalent position.You have 2+ years of experience in a senior/lead position, leading the execution of end-to-end machine learning solutions for business stakeholders.Fluency with Python and packages related to machine learning.Comfort with SQL.Experience with the full modeling cycle, from scoping and development through deployment, after-sale, and monitoring. Demonstrated delivery of business value in previous roles. Competency with statistics. Knowledge of experimental design and analysis. Previous experience with causal modeling techniques.Strong collaboration and communication skills. Ability to tell stories through data and effective visualization. Ability to thrive in, at times, ambiguous and complex environments.Desire to champion simple, robust systems and to deploy and iterate as needed.Preferred Skills & Experience:Experience deploying real-time model inference/scoring systems
