Data Science

iTalent Connection; Argentina; Remote; ARS 76,035,000 - 121,656,000; Full time

Benefits offered by this job

Remote-first culture

Professional growth

Competitive compensation

Global team

Job summary

iTalent Connection seeks a data scientist/ML engineer to build services powering our decision engine and to design models for underwriting, fraud detection, and user engagement.

You will write production-grade Python code, develop ETL pipelines, run A/B tests, and collaborate with product teams to translate insights into strategic actions in a remote-first setup.

Qualifications

• 4–6+ years in data science, data analytics, or ML engineering.
• Strong Python for production-grade code, not just notebooks.
• Experience with SQL and relational databases.
• Hands-on with Python data libraries: Pandas, NumPy, SciPy, scikit-learn.
• Background in applied statistics and machine learning.
• Experience deploying models/pipelines to production.
• Familiarity with A/B testing and causal inference.

Responsibilities

• Build and maintain services powering the decision engine.
• Design ML models for underwriting, fraud detection, and user engagement.
• Write production-grade Python code to deploy models and pipelines.
• Develop and optimize ETL jobs and data pipelines.
• Write and maintain SQL queries to analyze user behavior and metrics.
• Partner with product and business teams to translate insights into decisions.
• Design and run data-driven experiments (A/B tests, causal analysis).
• Leverage LLMs and AI tools to accelerate exploration and reporting.
• Prototype and integrate AI-driven workflows in the data stack.
• Implement and maintain unit/integration tests for reliability.
• Communicate findings clearly to technical and non-technical stakeholders.

Skills

Python proficiency

Problem solving

Communication

Remote collaboration

Education

Bachelor's degree in CS/Statistics/Math/Engineering

Tools

Pandas

NumPy

SciPy

scikit-learn

SQL

PostgreSQL

MySQL

Job description

-Build and maintain services that power decision engine, the core of our product

-Design and develop statistical and machine learning models to support underwriting, fraud detection, and user engagement

-Write production-ready Python code (FastAPI, Pandas, SQLAlchemy) to deploy models and pipelines into live systems

-Develop and optimize ETL jobs and data pipelines to transform raw data into actionable insights

-Write and maintain SQL queries to analyze user behavior, product performance, and financial metrics

-Partner with product and business teams to analyze funnels, unit economics, and risk metrics, translating insights into strategic decisions

-Design and run data-driven experiments (A/B tests, causal analysis) to validate product improvements and policy changes

-Leverage LLMs and AI-powered tools to accelerate data exploration, automate reporting, and support SQL/analysis workflows

-Prototype and integrate AI-driven workflows (agents, RAG pipelines, anomaly detection, automated monitoring) in data stack

-Implement and maintain unit and integration tests to ensure model and pipeline reliability

-Communicate findings and recommendations clearly across both technical and non-technical stakeholders

-4–6+ years of experience in a data science, data analyst, or ML engineering role

-Strong Python programming skills (comfortable writing production-ready code, not just notebooks) -

Experience with SQL and relational databases (Postgres, MySQL, or similar)

-Hands-on experience with Python data libraries (Pandas, NumPy, SciPy, scikit-learn, etc.)

-Background in applied statistics and machine learning (classification, regression, clustering, etc.)

-Experience deploying models, pipelines, or analytics workflows into production environments

-Familiarity with data-driven experimentation (A/B testing, causal inference, or uplift modeling)

-Experience leveraging LLMs and AI-powered tools to improve analysis and reporting productivity

-Strong problem-solving and communication skills, with the ability to collaborate in a remote-first environment

-A responsible, detail-oriented mindset with a strong sense of ownership

-Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field

• Remote-First Culture: Work from anywhere with flexible hours
• Professional Growth: Continuous learning and development opportunities
• Competitive Compensation: Market-leading salaries and benefits
• Global Team: Collaborate with talented professionals worldwide

We are a premier software outsourcing company, partnering with some of the world's most successful businesses to build and manage dedicated, remote teams of top-tier software engineers and other technical talent.