Senior Data Scientist — ML & Analytics (Remote)

Coderio; La Pampa; A distancia; ARS 75.962.000 - 136.732.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

10 days PTO

USA holidays

100% remote

Descripción de la vacante

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, translating raw data into actionable metrics for business decisions.

The role emphasizes strong SQL and Python skills, a keen numbers sense, and the ability to summarize complex results for stakeholders in English. Open to diverse experience levels.

Formación

• 0–4 years in Data Analysis or analytics roles with strong quantitative background.
• Advanced English both written and spoken.
• Solid SQL skills with joins, aggregations, and CASE WHEN.
• Python for data cleaning, transformation, and processing using pandas.
• Experience with ML libraries to build/predict models.
• Experience handling messy text and structuring data for insights.

Responsabilidades

• Write, optimize, and run SQL queries to extract data from relational databases and data warehouses.
• Develop and validate ML or statistical models to uncover consumer insights and trends.
• Slice and aggregate data to compute MACRO metrics like market share and purchasing trends.
• Build and maintain clean data tables and dashboards for stakeholders.
• Audit query results and ensure data integrity before presenting insights.
• Segment data with conditional logic to identify tracking cohorts.
• Parse and categorize unstructured text data.
• Translate technical results into clear summaries for English-speaking stakeholders.

Conocimientos

SQL

Python

Pandas

ML models

Data analysis

English

Educación

Bachelor's degree in related field

Herramientas

scikit-learn

statsmodels

BigQuery

Descripción del empleo

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, translating raw data into actionable metrics for business decisions.

The role emphasizes strong SQL and Python skills, a keen numbers sense, and the ability to summarize complex results for stakeholders in English. Open to diverse experience levels.