Data Science

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.

We’re looking for a data scientist/analyst who thrives in a fast-paced, high-ownership environment. At our company, data is at the core of our decision engine, risk models, and product strategy. You’ll design, implement, and productionize data-driven systems that directly shape how we underwrite advances, optimize user experience, and manage risk.

This role is not limited to notebooks. You’ll write production-ready Python code, deploy models and pipelines into live systems, and collaborate with backend engineers to build scalable data products. You’ll also leverage modern AI/LLM-powered workflows to accelerate analysis, automate reporting, and improve decision-making.

Your work will go beyond models: you’ll generate actionable insights into user behavior, product funnels, and financial performance, helping drive both day-to-day decisions and long-term strategy.

If you’re excited about blending hands-on engineering, business analytics, and AI-driven workflows, and about seeing your work have direct impact on thousands of users, you’ll feel right at home here.

-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

Requisitos:

-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

Beneficios

• 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