Remote ML Analytics Architect | Cloud Data & AI

Silver.dev; Tandil; Remote; ARS 64,907,000 - 98,906,000; Full time

Benefits offered by this job

Remote work 100%

PTO 10 days

US holidays

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client team. The role focuses on turning large-scale consumer and retail data into clear metrics, requiring strong SQL and Python skills and the ability to present results in English.

Open to varied experience levels, from new grads to mid-level analysts. You will work with relational databases and cloud data warehouses, build ML models, and translate findings into actionable summaries for stakeholders.

Qualifications

• Strong SQL skills including joins, aggregations, and CASE WHEN logic.
• Python scripting for data cleaning and manipulation using pandas.
• Advanced English (written and spoken).
• Foundational to intermediate relational DB design and data normalization.
• Experience with ML libraries (scikit-learn/statsmodels) for predictive modeling.

Responsibilities

• Write, optimize, and run SQL queries to extract data from relational databases and cloud warehouses.
• Develop, run, and validate ML, predictive, or statistical matching models.
• Slice and aggregate raw data to compute core metrics like market share and trends.
• Build and maintain clean data tables and dashboards for stakeholders.
• Review outputs and perform data audits to ensure accuracy and integrity.

Skills

SQL queries

Python (pandas)

English proficiency

Data modeling

ML basics

Education

Bachelor's in Business Analytics/Statistics/Math/CS/Economics/Marketing

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client team. The role focuses on turning large-scale consumer and retail data into clear metrics, requiring strong SQL and Python skills and the ability to present results in English.

Open to varied experience levels, from new grads to mid-level analysts. You will work with relational databases and cloud data warehouses, build ML models, and translate findings into actionable summaries for stakeholders.