Back to jobs

Data Scientist (NYC, L5/L6)

NYC · New York, United States

Pay
Salary not listed in the saved posting
Work setup
On-site stated — work setup source
We are looking for someone with a strong technical background and clarity of thought. You should be a great communicator and have the ability to drive impact based on your analyses. This role is in-office in New York City. Requirements:
Location type: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Data Science — team source
Department: Data Science
From the employer’s posting
Apply at Nelo

What you’ll work on

Full posting

As a data scientist at Nelo, you will be responsible for optimizing the overall performance of our credit and marketplace products.

Develop machine learning and causality models upon which Nelo will make underwriting and portfolio management decisions

What you’ll bring

All qualifications

Core experience

  • 5+ years of data science experience
  • Deep understanding of classification models, forecasting models and ML techniques
  • Deep understanding of causal inference, experiment design and measurements
  • Deep understanding of optimization, including familiarity with formulating and solving constrained optimization problems
Qualification wording
5+ years of data science experience
Deep understanding of classification models, forecasting models and ML techniques
Deep understanding of causal inference, experiment design and measurements
Deep understanding of optimization, including familiarity with formulating and solving constrained optimization problems

Tools in this posting

  • SQL
  • Python
Source — Tool mentions in context
- Deep understanding of optimization, including familiarity with formulating and solving constrained optimization problems - Advanced with SQL and Python Compensation and Benefits:

Benefits in the posting

Full benefits wording
  • Very competitive salary and equity
  • 100% medical, dental & vision insurance coverage for you; 50% for dependents
  • Unlimited PTO
  • 401(k)
  • Extended maternity and paternity leave
  • Relocation support
  • Sabbatical program

From the employer’s posting.

About Nelo

Our mission is to increase consumers' buying power in Latin America, and we do so by building a modern alternative to credit cards.

In the employer’s words · Read in context · Company website ↗

Job description

View original posting ↗

About Nelo

Nelo is a leading consumer fintech and e-commerce platform in Mexico, with >$500MM in annualized GMV and >$70MM in annualized revenue. Our mission is to increase consumers' buying power in Latin America, and we do so by building a modern alternative to credit cards.

Nelo has raised over $40M of venture capital from investors including Homebrew, Two Sigma Ventures, and Susa Ventures. Nelo has additionally raised a $100M asset credit facility from Victory Park Capital.

Our lean team includes experienced leaders from top technology companies such as Uber, Amazon, Rappi, and DiDi. We pride ourselves on our velocity, intellectual rigor, and efficiency. Nelo has offices in Mexico City and New York City.

About The Role

As a data scientist at Nelo, you will be responsible for optimizing the overall performance of our credit and marketplace products. Specifically, you will

  1. Develop machine learning and causality models upon which Nelo will make underwriting and portfolio management decisions

  2. Create credit, personalization, ranking, and pricing algorithms

  3. Design and analyze continuous experiments to provide insights and guide product and algorithm decisions

  4. Lead machine learning infrastructure projects, including machine learning operations and observability

This role requires a deep knowledge of machine learning and statistics. Cross-functional collaboration is also needed.

We are looking for someone with a strong technical background and clarity of thought. You should be a great communicator and have the ability to drive impact based on your analyses.

This role is in-office in New York City.

Requirements:

  • 5+ years of data science experience

  • Deep understanding of classification models, forecasting models and ML techniques

  • Deep understanding of causal inference, experiment design and measurements

  • Deep understanding of optimization, including familiarity with formulating and solving constrained optimization problems

  • Advanced with SQL and Python

Compensation and Benefits:

  • Very competitive salary and equity

  • 100% medical, dental & vision insurance coverage for you; 50% for dependents

  • Unlimited PTO

  • 401(k)

  • Extended maternity and paternity leave

  • Relocation support

  • Sabbatical program

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

New York, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Status in our records
Active
First seen by us
Jun 2, 2026
Recorded sightings
23
Last seen by us
Sep 28, 2026
Employer says posted
Jan 23, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.