Data Scientist - II

Bangalore /
Data Science /
Full-time
About Tala

Tala is a global technology company building the world’s most accessible financial services. With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC’s Disruptor 50, and Forbes’ Fintech 50 list for four years running. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the 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, more than 6 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 of enabling financial agency for underbanked people around the world. If you are energized by the impact you can make at Tala, we’d love to hear from you!

The Role

Data Scientist-II will leads data science initiatives in India in strong collaboration with the India team members. Works in an autonomous manner with support from senior data science team members based in Santa Monica, Global office. Become an owner of the modeling cycle through scoping, development, deployment and after sale monitoring, with a keen focus on business outcomes and stakeholder management. Customer-centric, ties their work to realizing Tala’s mission of “enabling and accelerating financial health for the underserved globally”.

What you'll do?

    • Work closely with the India team on an ongoing basis to respond to business needs and priorities. Brings greater understanding of our customers and product-market fit to the team through in-depth data analysis and strong visualization and communication.
    • Scope and develop dedicated credit and fraud models for the Indian market. Own the full cycle of models from ideation and training through deployment into our production environment. Monitor model performance and provide after sale service to stakeholders, iterating rapidly if necessary.
    • Contribute and share findings and knowledge with data science and other modeling with all appropriate cross-functional teams and global peers. Applies learnings and developments from dedicated work in India market to improve data science offerings in Kenya, Philippines and Mexico markets in collaboration with global data science team and peers. 

What you'll need?

    • 3+ years of experience in a data science role or equivalent position.
    • Broad knowledge of core machine learning tools and methods. Fluent in Python and packages related to machine learning. Proficient in SQL.
    • Experience with the full modelling cycle, from scoping and development through deployment, after-sale and monitoring.
    • Strong collaborator and communicator, tells stories through data and effective visualization.

    • Nice to have: 
    • Proficiency with AWS, GitHub, Docker.
    • Working with startups in fast-paced and agile environments.
    • Experience with global companies and working efficiently across time zones. 


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.