Senior Data Scientist, Causal Inference

February 5

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Tala

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Tala is a fintech company that aims to break down financial barriers for individuals across Kenya, Mexico, the Philippines, and India through its innovative money app. The company provides a suite of financial services, including credit, payments, savings, and transfers, to empower their customers. Leveraging advanced artificial intelligence and machine learning technologies, Tala offers personalized financial experiences and creates digital financial identities for users who have been underserved by traditional finance institutions. With a focus on real-time money management, Tala's app simplifies access to instant credit and other financial services for millions, enhancing users' economic power and quality of life.

Mobile Technology • Credit Scores • Financial Inclusion • Big Data • Economic Development

501 - 1000 employees

Founded 2011

💳 Fintech

🤖 Artificial Intelligence

👥 B2C

📋 Description

• Tala is on a mission to unleash the economic power of the Global Majority – the 4 billion people overlooked by existing financial systems. • With nearly half a billion dollars raised from equity and debt, we are serving millions of customers across three continents. • Tala has been named by the Fortune Impact 20 list, CNBC’s Disruptor 50 five years in a row, CNBC’s World's Top Fintech Company, Forbes’ Fintech 50 list for eight years running, and Chief's The New Era of Leadership Award. • We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about our mission. • Currently, over nine million people across Kenya, the Philippines, Mexico, and India have used Tala products. • You will manage the entire modeling process, from defining problems and developing causal models to deployment, evaluation, and continuous monitoring. • Your expertise in causal inference, experimentation, and collaboration with stakeholders will be crucial in ensuring that data-driven insights lead to measurable business impact.

🎯 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.