Senior ML & Data Platform Analyst (Remote)

Agileengine, Llc.; Ciudad de Mendoza; Remote; ARS 69,682,000 - 123,879,000; Full time

Benefits offered by this job

10 days PTO

100% remote work

Job summary

Agileengine, Llc. is hiring a Data Analyst (Machine Learning) to join a US-based client’s global team.

You will write and optimize SQL queries, build ML or statistical models, and translate results into clear business insights for English-speaking stakeholders. Open to recent graduates through mid-level professionals, this role focuses on turning messy data into trusted metrics, with strong emphasis on Python (pandas) and model evaluation, while working 100% remotely for LATAM teams.

Qualifications

• Minimum 0–4 years in Data Analysis or related roles; recent grads welcome with coursework or internships.
• Strong English communication (written and spoken).
• Solid SQL skills: complex joins, aggregations, CASE WHEN.
• Python for data cleaning and transformations; pandas proficiency.
• Familiarity with ML libraries (scikit-learn, statsmodels) for predictive modeling.

Responsibilities

• Write, optimize, and execute SQL to extract data from relational databases and cloud warehouses.
• Develop and validate machine learning or statistical models to forecast trends and uncover behaviors.
• Analyze transactional or panel data to derive core metrics like market share and purchasing trends.
• Build and maintain clean data tables and dashboards for stakeholders.
• Audit data outputs to ensure accuracy before presenting insights.
• Segment data using conditional logic to isolate cohorts.
• Parse and categorize unstructured text data for analysis.
• Translate technical results into clear summaries for English-speaking stakeholders.

Skills

SQL

Python

pandas

scikit-learn

statsmodels

Education

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

Tools

Snowflake

BigQuery

Redshift

Job description

Agileengine, Llc. is hiring a Data Analyst (Machine Learning) to join a US-based client’s global team.

You will write and optimize SQL queries, build ML or statistical models, and translate results into clear business insights for English-speaking stakeholders. Open to recent graduates through mid-level professionals, this role focuses on turning messy data into trusted metrics, with strong emphasis on Python (pandas) and model evaluation, while working 100% remotely for LATAM teams.