Remote ML Data Analyst: Market Insights & Modeling

Bolder Apps

Santa Fe Capital

Remote

ARS 75.728.000 - 128.737.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

100% remote work
USA holidays
10 days PTO

Zusammenfassung

Prometeo Talent is recruiting a Data Analyst (Machine Learning) for a US-based company focused on marketing effectiveness measurement. The role targets analysts comfortable handling large-scale consumer and retail data and translating findings into business insights in English.

Ideal candidates have strong SQL and Python skills, attention to detail, and are capable of producing concise summaries for stakeholders.

Qualifikationen

  • Solid SQL and Python skills with experience in data manipulation.
  • Experience translating technical results into stakeholder summaries in English.
  • Bachelor’s degree in a quantitative field with coursework in databases or analytics.

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 models.
  • Slice and aggregate data to calculate core business metrics.
  • Build and maintain data tables and views feeding dashboards.
  • Review outputs, audit data, and ensure data integrity before insights.
  • Segment data with conditional logic to isolate cohorts.
  • Parse and categorize unstructured text data.
  • Translate results into clear summaries for English-speaking stakeholders.

Kenntnisse

SQL
Python
Pandas
scikit-learn
statsmodels
Text processing
Data modeling

Ausbildung

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

Tools

Snowflake
BigQuery
Redshift

Jobbeschreibung

Prometeo Talent is recruiting a Data Analyst (Machine Learning) for a US-based company focused on marketing effectiveness measurement. The role targets analysts comfortable handling large-scale consumer and retail data and translating findings into business insights in English.

Ideal candidates have strong SQL and Python skills, attention to detail, and are capable of producing concise summaries for stakeholders.

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