Remote Cloud AI Analyst — ML & Data Insights

YO AI Labs

Santa Fe Capital

Remote

ARS 61.494.000 - 107.614.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

10 days PTO
USA holidays
100% remote work

Zusammenfassung

Prometeo Talent is partnering with a U.S.-based firm to hire a Data Analyst (Machine Learning) for a 100% remote LATAM position. The ideal candidate blends SQL and Python skills with a strong numbers sense, translating complex results into clear summaries for stakeholders in English.

You will work with large consumer and retail datasets, build models, and maintain robust data pipelines. Entry-level candidates with relevant coursework or internships are welcome, as are mid-level analysts seeking

Qualifikationen

  • 0–4 years in Data Analysis or similar; internships welcome.
  • Advanced English, both written and spoken.
  • Foundational to intermediate SQL with JOINs and CASE WHEN.
  • Python with pandas for complex transformations.
  • Experience with messy text data cleaning and parsing.
  • Familiarity with scikit-learn or statsmodels for modeling.
  • Relational DB design and normalization.

Aufgaben

  • Write, optimize, and run SQL queries against databases and data warehouses.
  • Develop, validate ML, predictive, or statistical models.
  • Slice and aggregate data to compute core metrics like market share.
  • Build and maintain data tables and dashboards.
  • Review outputs and ensure data integrity before insights.
  • Segment data with conditional logic for cohorts.
  • Clean, parse, and categorize unstructured text data.
  • Translate results into clear summaries for English-speaking stakeholders.

Kenntnisse

SQL
Python
English
Data analysis
Data cleaning
Pandas
Pattern matching

Ausbildung

Bachelor's degree in analytics/related field

Tools

Snowflake
BigQuery
Redshift

Jobbeschreibung

Prometeo Talent is partnering with a U.S.-based firm to hire a Data Analyst (Machine Learning) for a 100% remote LATAM position. The ideal candidate blends SQL and Python skills with a strong numbers sense, translating complex results into clear summaries for stakeholders in English.

You will work with large consumer and retail datasets, build models, and maintain robust data pipelines. Entry-level candidates with relevant coursework or internships are welcome, as are mid-level analysts seeking

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