Senior Data Scientist

Summary

Join Tala, a company on a mission to financially empower the underserved, as a Senior Casual Inference Data Scientist. You will lead data science initiatives to improve customer experience, operational efficiency, and recovery. This role involves the entire modeling cycle, from scoping and development to deployment and monitoring, with a focus on business outcomes. You will collaborate with stakeholders, design and analyze large-scale experiments, and mentor junior team members. Tala offers a remote-first approach with offices globally and a commitment to diversity and inclusion.

Requirements

• 4+ years of experience in a data science role or equivalent position
• 2+ years 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 business value in previous roles
• Competency with statistics. Knowledge of experimental design and analysis. Previous experience with causal machine learning

Responsibilities

• Embed with business stakeholders to identify, test and implement data science solutions with particular focus on econometric models, experiments, and frameworks to assess challenging causal problems such as lifetime value or retention
• Own full-cycle of machine learning products from ideation and training through deployment into our production environment and after sales 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 data science team by sharing work, providing mentorship to junior team members, providing technical feedback and developing work into shared team tooling