Remote Senior Ml Platform And Mlops Engineer

Semantix; Santa Fe Capital; Remote; ARS 76,867,000 - 122,988,000; Full time

Benefits offered by this job

10 days PTO

100% remote

USA holidays

Job summary

Prometeo Talent partners with a U.S.-based company to recruit a Data Analyst (Machine Learning) for a 100% remote LATAM role. You will work with large-scale consumer and retail datasets, turning raw data into actionable metrics and insights in English.

The ideal candidate has solid SQL and Python skills, a strong numerical sense, and can translate technical results into stakeholder-ready summaries. Open to a range of levels from recent grads to mid-level professionals.

Qualifications

• 0 to 4 years of experience in Data Analysis, Business Analytics, or similar roles.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills, including complex JOIN logic and CASE WHEN.
• Python scripting for data cleaning and processing, with pandas proficiency.
• Familiarity with modeling libraries such as scikit-learn or statsmodels.

Responsibilities

• 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.
• Slice, unpivot, and aggregate raw data to calculate core metrics like household penetration, market share, and trends.
• Build and maintain clean data tables and views feeding dashboards and reports.
• Review query outputs, perform data audits, and ensure data integrity before insights.
• Use filtering to segment data and isolate tracking cohorts.
• Translate technical data structures into clear summaries for stakeholders.

Skills

SQL

Python

English

Data analysis

Pandas

ML concepts

Education

Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing

Tools

scikit-learn

statsmodels

Snowflake

BigQuery

Redshift

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 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.