Ia Developer

Improving South America; Santa Fe Capital; Remote; ARS 64,907,000 - 101,997,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

100% remote

Job summary

Prometeo Talent is sourcing a Data Analyst (Machine Learning) for a remote LATAM role geared toward transforming large-scale consumer data into actionable insights. The candidate will leverage SQL and Python to extract, model, and summarize findings for business stakeholders in English.

The role welcomes recent graduates with quantitative backgrounds through mid-level professionals who can manipulate complex data and build dashboards. A strong numbers sense and attention to detail are essential.

Qualifications

• Solid SQL and Python skills with ability to process large datasets.
• Strong English communication, both written and spoken.
• Bachelor's degree in a quantitative field with coursework in databases or analytics.
• 0–4 years in Data Analysis, Business Analytics, or related roles; entry to mid-level acceptable.

Responsibilities

• Write, optimize, and run SQL queries on relational databases and cloud warehouses.
• Develop and validate machine learning or statistical models for consumer insights.
• Process and summarize data into clear metrics and dashboards for stakeholders.
• Prepare clean data tables and views for recurring reports and analyses.
• Translate technical results into concise summaries for English-speaking audiences.

Skills

SQL

Python

English

Data manipulation

Education

Bachelor's degree in Analytics/CS

Tools

Pandas

scikit-learn

Snowflake

BigQuery

AzureSQL

Job description

Machine Learning Analyst | 100% Remoto | LATAM

Prometeo Talent is a recruitment agency with a strong presence across the Americas and Europe. We specialize in connecting companies with exceptional professionals across data, analytics, and business functions.

We have partnered with a U.S.-based company specialized in marketing effectiveness measurement. They help organizations better understand consumer behavior, purchasing trends, brand performance, and market dynamics through data-driven insights.

We are looking for a Data Analyst (Machine Learning) to join our client's global team.

This role is ideal for analytical and data-driven professionals who enjoy working with large-scale consumer and retail datasets, bridging the gap between complex database structures and business strategy, and turning raw transactional or behavioral data into clear, actionable metrics.

The ideal candidate combines solid SQL and Python skills, a strong “numbers sense”, attention to detail, and the ability to translate technical results into clear summaries for stakeholders in English. The position is open to a range of experience levels, from recent graduates with a strong quantitative background to mid-level analysts looking to deepen their technical data manipulation skills.

What do we offer?

Prometeo Talent is a recruitment agency with a strong presence across the Americas and Europe. We specialize in connecting companies with exceptional professionals across data, analytics, and business functions.

We have partnered with a U.S.-based company specialized in marketing effectiveness measurement. They help organizations better understand consumer behavior, purchasing trends, brand performance, and market dynamics through data-driven insights.

We are looking for a Data Analyst (Machine Learning) to join our client's global team.

This role is ideal for analytical and data-driven professionals who enjoy working with large-scale consumer and retail datasets, bridging the gap between complex database structures and business strategy, and turning raw transactional or behavioral data into clear, actionable metrics.

The ideal candidate combines solid SQL and Python skills, a strong “numbers sense”, attention to detail, and the ability to translate technical results into clear summaries for stakeholders in English. The position is open to a range of experience levels, from recent graduates with a strong quantitative background to mid-level analysts looking to deepen their technical data manipulation skills.

What You Will Do

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate machine learning, predictive, or statistical matching models to uncover deeper consumer behaviors and forecast trends.
• Slice, unpivot, and aggregate raw transactional or panel data to calculate core business metrics such as household penetration, market share, and purchasing trends.
• Build and maintain clean, structured data tables and views that feed into recurring tracking reports and stakeholder dashboards.
• Review query outputs, perform data audits, and double-check logic to ensure accuracy and data integrity before insights are finalized.
• Use conditional logic and filtering techniques to segment data and isolate specific tracking cohorts.
• Clean, parse, and categorize unstructured or semi-structured text data.
• Translate technical data structures and query results into clear written summaries, bullet points, or data tables for stakeholders in English-speaking environments.

Requirements

• 0 to 4 years of experience in Data Analysis, Business Analytics, or similar roles. Entry-level candidates with strong relevant coursework, personal data projects, or internships are welcome, as well as mid-level professionals with a proven track record of querying databases to drive business insights.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills, including complex JOIN logic, standard aggregations, and CASE WHEN conditional logic.
• Python scripting for data cleaning, manipulation, and processing, with proficiency in pandas for complex multi-step transformations.
• Familiarity with modeling libraries such as scikit-learn or statsmodels to build and evaluate predictive or statistical matching models.
• Experience working with messy text fields: cleaning, parsing, filtering, and pattern matching within string variables.
• Solid understanding of relational database design, including how tables connect, primary/foreign keys, and data normalization.
• Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or a related field with coursework covering database management or quantitative data analysis.

Nice to Have

• Experience working with consumer, retail, panel, or transactional datasets.
• Familiarity with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Exposure to marketing analytics, consumer insights, or market measurement environments.
• Experience building data tables or views that feed dashboards and recurring reports.

Why Join Us?

• 10 days of PTO to recharge wherever you choose.
• Enjoy USA Holidays.
• 100% remote work—design the work-life balance that fits you best.
• Work with real consumer and market data that influences strategic business decisions.
• Collaborate with international teams and stakeholders.
• Develop your expertise in SQL, Python, and machine learning while working on impactful projects.

Our client is a remote product studio that builds MVPs and custom software for startups and companies past the idea stage. Clients hire them for a fixed-scope MVP or for a product team billed by the two-week sprint, and the whole team uses AI coding tools every day.

They’ve been at it since 2020 and were profitable in 2025, with a 30% net margin. After building their own AI systems, they tripled monthly revenue with the same team size. Clients rate them 4.9 out of 5 in verified reviews, and the startups they build for have raised more than $25M in venture funding.

Your Role

You’ll join the team building workflow software for one of the studio’s clients: a live product that needs new workflow features while the existing ones keep running. The client’s own engineers commit to the same repo, so every new table, permission and workflow goes in next to code someone else is changing. The weight is on the server side, from the SQL database on Azure up through the API, and you also build the React and TypeScript screens that sit on top.

AI coding tools draft most of the specs, tests and migrations. You direct them, read every diff line by line, and answer for what merges. If you’d rather write most of the code by hand, this probably isn’t the right seat.

You report to the studio’s leadership and work day to day with the lead developer and the product manager, who sets the acceptance criteria for each sprint. Success means delivering four to five features per two-week sprint, each verified before merge, and owning one area end to end (such as the task engine or the legacy migration) without breaking a live feature.

You Bring

• 4+ years building full-stack web applications and releasing them to production
• Experience working in a codebase you didn’t write, learning its conventions before changing it
• Hands‑on work on workflow software where different user roles see different data, with approvals, task queues or state machines and an audit log or versioned history
• React, TypeScript and SQL on Azure, including schema design and migrations
• Daily use of Cursor, Claude Code or a similar AI coding tool on production work, with tests and CI behind it
• Clear written and spoken English
• Experience delivering in fixed‑scope sprints with branches, code review and feature flags

Bonus Points

• Work in a regulated setting such as finance, health or insurance
• A migration from a legacy system, with reconciliation and duplicate review
• Time as an outside vendor committing to a client's repoProject rules, custom prompts or agent setups for AI coding tools that your team adopted
• Spanish, since the platform is bilingual

What's Offered

Fully remote contractor role from LATAM, full time at about 40 hours a week

Core hours in US time zones, so your day overlaps with the lead developer and the product manager

An area of the product to own end to end, with your schema designs reviewed by the lead developer and the client's engineers

A team where AI-first delivery is already the daily routine, with tests, CI and feature flags as part of the normal process

A start in early November

Interview Process

1. Intro Call: 30 minutes with atomic HR on your background and goals
2. Leadership Screening: A short call, possibly with an async part first
3. Product and Developer Conversation: How you take features from acceptance criteria to merge
4. Take-Home Test: One feature like the real scope, built and checked