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Data Scientist - Remote Mexico - New York Team
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Permanent — employment source
Employment type in the employer’s posting: Permanent employee
From the employer’s posting
What you’ll work on
Full postingWe are looking for an autonomous Data Scientist based in Mexico to own the intersection of sophisticated predictive decision-making and world-class engineering for our North American operations.
Working closely with our core engineering team in Berlin, you will translate complex, real-world retail challenges into scalable, high-performance software solutions directly impacting our US clients on the ground.
Experiment with machine learning models to forecast sales volume and costs
Support retail optimization projects across the US market
Interface with retailers to improve the 7Learnings software
Optimize data pipelines and predictive model codebases
Monitor and explore large-scale datasets
From the employer’s posting
We are looking for an autonomous Data Scientist based in Mexico to own the intersection of sophisticated predictive decision-making and world-class engineering for our North American operations. In this role, you won't just run standard scripts; you will be the custodian of our product's localized evolution, ensuring our AI-driven decision engines are mathematically sound, highly optimized, and engineering-resilient. You will be working remotely from Mexico, supporting our growing team and clients across the US.
Working closely with our core engineering team in Berlin, you will translate complex, real-world retail challenges into scalable, high-performance software solutions directly impacting our US clients on the ground. As our dedicated data science resource for the US region, you are the engine of 7Learnings’ regional presence. Our product relies on the perfect harmony between complex algorithms and stable software; you will be responsible for ensuring that our technical execution remains flawless, technical debt remains low, and model accuracy remains exceptionally high.
Experiment with Machine Learning models to forecast sales volume and costs
Leverage analytical skills to support retail optimization projects across the US market
Interface with retailers to continuously improve the 7Learnings software
Optimize our data pipelines and predictive model codebases
Support the monitoring, measurement, and exploration of large-scale datasets
What you’ll bring
All qualificationsCore experience
- Bachelor's or Master's in a quantitative field such as CS, math, or physics
- Hands-on experience in machine learning and data science
- Experience with Git, TensorFlow, Google Cloud Platform, SQL, or BigQuery
- Strong communication with non-technical stakeholders
Qualification wording
Bachelor’s or Master’s degree in Business Administration, Computer Science, Industrial Engineering, Mathematics, Physics, or a related quantitative field
Hands-on experience in machine learning and data science
Prior experience with Git, TensorFlow, Google Cloud Platform, SQL, or BigQuery
Exceptional communication and stakeholder management abilities, with a proven track record of explaining technical concepts to non-technical audiences
Education & alternatives
Your profile - Bachelor’s or Master’s degree in Business Administration, Computer Science, Industrial Engineering, Mathematics, Physics, or a related quantitative field. - A results-oriented, pragmatic mindset.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 12, 202632 days ago
- Recorded sightings
- 31
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
7Learnings is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- BigQuery
- TensorFlow
- GCP
Where the posting names them
- Hands-on experience in machine learning and data science. - Prior experience with Git, TensorFlow, Google Cloud Platform, SQL, or BigQuery. - Strong project management skills, with prior experience or a strong interest in e-commerce and the retail industry.
Your next step
Complete your application on 7learnings.jobs.personio.com. The employer’s form will show what is required.
Applying through Personio
- No account needed. The 20 MB limit covers all your files together, not each one.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
About the role
Your mission
Your profile
What we offer?
We are looking for an autonomous Data Scientist based in Mexico to own the intersection of sophisticated predictive decision-making and world-class engineering for our North American operations. In this role, you won't just run standard scripts; you will be the custodian of our product's localized evolution, ensuring our AI-driven decision engines are mathematically sound, highly optimized, and engineering-resilient. You will be working remotely from Mexico, supporting our growing team and clients across the US.
Working closely with our core engineering team in Berlin, you will translate complex, real-world retail challenges into scalable, high-performance software solutions directly impacting our US clients on the ground. As our dedicated data science resource for the US region, you are the engine of 7Learnings’ regional presence. Our product relies on the perfect harmony between complex algorithms and stable software; you will be responsible for ensuring that our technical execution remains flawless, technical debt remains low, and model accuracy remains exceptionally high.
Your mission
Leverage analytical skills to support retail optimization projects across the US market.
Experiment with Machine Learning models to forecast sales volume and costs.
Interface with retailers to continuously improve the 7Learnings software.
Collaborate closely with our global engineering team.
Optimize our data pipelines and predictive model codebases.
Support the monitoring, measurement, and exploration of large-scale datasets.
Your profile
Bachelor’s or Master’s degree in Business Administration, Computer Science, Industrial Engineering, Mathematics, Physics, or a related quantitative field.
A results-oriented, pragmatic mindset.
Hands-on experience in machine learning and data science.
Prior experience with Git, TensorFlow, Google Cloud Platform, SQL, or BigQuery.
Strong project management skills, with prior experience or a strong interest in e-commerce and the retail industry.
Exceptional communication and stakeholder management abilities, with a proven track record of explaining technical concepts to non-technical audiences.
English: C1-C2 level.
You are located in Mexico (working aligned with US time zones).
What we offer?
Flexible working hours
100% remote work from Mexico
30 vacation days per year
Culture of trust and regular, constructive feedback
High degree of personal responsibility
#LI-Remote
Source details
Source notes
Source excerptsSelected 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
Mexico
- Flexible working hours - 100% remote work from Mexico - 30 vacation days per year
More source context
- High degree of personal responsibility #LI-Remote
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.