Senior Data Scientist, Causal Inference

Summary

Join Tala, a leading fintech company on a mission to expand financial inclusion globally, as a Senior Data Scientist – Causal Inference. You will lead impactful data science initiatives focused on uncovering cause-and-effect relationships to optimize credit products, enhance customer experiences, and improve financial operations. This role involves managing the entire modeling process, from problem definition to deployment and monitoring. You will collaborate with stakeholders, drive data-driven decisions, and contribute to Tala's mission of empowering the global majority. As a customer-focused leader, you will independently drive initiatives that expand financial access and improve credit outcomes. Your expertise in causal inference, experimentation, and communication will be crucial for success.

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 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

Responsibilities

• 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 machine learning products from ideation and training to 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