Remote ML Analytics Engineer

Fullstack; Santa Fe Capital; Remote; ARS 53.807.000 - 92.241.000; Vollzeit

Benefits dieser Stelle

10 days PTO

USA holidays

100% remote

Zusammenfassung

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focused on marketing effectiveness. You will work with large consumer and retail datasets to turn raw data into actionable metrics, translating results for English-speaking stakeholders and collaborating with international teams.

The role welcomes entry-level to mid-level candidates with strong quantitative backgrounds, emphasizing SQL, Python (pandas), and ML fundamentals.

Qualifikationen

• 0 to 4 years of experience in Data Analysis, Business Analytics, or similar roles; entry-level welcome.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills, including complex JOIN logic, aggregations, and CASE WHEN.
• Python scripting for data cleaning, manipulation, and processing, with pandas.
• Familiarity with modeling libraries such as scikit-learn or statsmodels for predictive models.
• Experience with messy text fields: cleaning, parsing, filtering, and pattern matching.
• Solid understanding of relational database design, including keys and normalization.
• Bachelor's degree in related field with coursework in database management or quantitative data analysis.

Aufgaben

• 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 for stakeholders in English-speaking environments.

Kenntnisse

SQL

Python (pandas)

English communication

Data analysis

ML basics

Data cleaning

Ausbildung

Bachelor's degree in Business Analytics, Statistics, Mathematics, CS, Economics

Tools

Snowflake

BigQuery

Redshift

Jobbeschreibung

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focused on marketing effectiveness. You will work with large consumer and retail datasets to turn raw data into actionable metrics, translating results for English-speaking stakeholders and collaborating with international teams.

The role welcomes entry-level to mid-level candidates with strong quantitative backgrounds, emphasizing SQL, Python (pandas), and ML fundamentals.