Senior Data Scientist at Tala

Mexico City, Mexico City, Mexico

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Fintech, Financial ServicesIndustries

Requirements

4+ years of experience in a data science role or equivalent position
2+ years in a senior 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

Responsibilities

Embed with business stakeholders to identify, test, and implement data science solutions that drive business and customer success
Develop a roadmap in collaboration with stakeholders to organize and prioritize initiatives
Own full-cycle of machine learning products from ideation and training through deployment into our production environment – including real-time inference – and after-sale service
Obsess over machine learning products, iterating rapidly if necessary
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

Skills

Data Science

Model Scoping

Model Development

Model Deployment

Model Monitoring

Stakeholder Management

Tala

Digital wallet and lending platform for underserved

About Tala

Tala operates as a digital wallet and lending platform that focuses on providing financial services to individuals who are often overlooked by traditional banks. The platform uses artificial intelligence and machine learning to create a personalized financial experience for its users. Customers can access instant credit, transfer money easily, and pay bills all through a single app. Tala's unique data tools allow it to serve a diverse range of customers, including those without access to conventional banking. The company generates revenue through interest and fees on the credit it offers, as well as transaction fees for money transfers and bill payments. Operating in multiple countries across three continents, Tala adapts its services to different markets while aiming to enhance the financial well-being of its users by providing tailored credit lines and financial advice.

Santa Monica, CaliforniaHeadquarters

2011Year Founded

$341.1MTotal Funding

DEBTCompany Stage

Fintech, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Remote Work Options

Flexible Work Hours

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Risks

Increased competition from Stripe in crypto payments could challenge Tala's market position.

Keytom's launch may attract Tala's crypto-interested customer base, reducing market share.

Apple's NFC chip decision could lead to more competition in the digital wallet space.

Differentiation

Tala uses AI to offer personalized financial experiences to underserved individuals.

The company provides instant credit and expansive bill payment options via a single app.

Tala's proprietary data tools enable services for those without traditional banking access.

Upsides

Integration of stablecoin payments could enhance Tala's transaction speed and cost-effectiveness.

Apple's NFC chip opening may allow Tala to offer more seamless payment options.

Equifax's AI advancements highlight potential for Tala to improve its credit scoring systems.

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