Job description
About Tala
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.
By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, over nine million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.
Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you!
The Role
We are looking for a Senior Casual Inference Data Scientist interested in solving one of the world’s biggest problems: financial inclusion. As a Casual Inference 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 and 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 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.
What You’ll Need
- 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.
Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
