Remote ML Analytics Engineer

Motorolasolutions; Santa Fe Capital; Remote; ARS 61.494.000 - 107.614.000; Vollzeit

Benefits dieser Stelle

10 days PTO

USA holidays

100% remote work

International collaboration

Zusammenfassung

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client's global team. This role involves working with large-scale consumer and retail datasets, translating complex data into clear insights for stakeholders in English.

You will write and optimize SQL queries, develop ML or statistical models, and build dashboards. The ideal candidate has strong Python and SQL skills, attention to detail, and the ability to communicate results effectively.

Qualifikationen

• 0–4 years of experience in Data Analysis or similar roles.
• Strong English (written and spoken).
• Foundational to intermediate SQL with JOINs, aggregations, and CASE WHEN.
• Python for data cleaning, manipulation, and processing (pandas).
• Familiarity with ML/statistical libraries (scikit-learn, statsmodels).
• Experience handling messy text data and relational databases.

Aufgaben

• Write, optimize, and run SQL queries to fetch data from databases and warehouses.
• Develop, validate, and apply ML or statistical models to forecast trends.
• Slice and aggregate data to compute core metrics like market share and penetration.
• Create and maintain data tables and dashboards for stakeholders.
• Review outputs for accuracy and data integrity before insights are shared.
• Translate technical results into clear English summaries for business teams.
• Collaborate with cross-functional teams and international stakeholders.

Kenntnisse

SQL

Python

Pandas

Advanced English

Analytical thinking

Ausbildung

Bachelor's degree in Business Analytics or related field

Tools

Snowflake

BigQuery

Redshift

Jobbeschreibung

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client's global team. This role involves working with large-scale consumer and retail datasets, translating complex data into clear insights for stakeholders in English.

You will write and optimize SQL queries, develop ML or statistical models, and build dashboards. The ideal candidate has strong Python and SQL skills, attention to detail, and the ability to communicate results effectively.