Senior Data Scientist (ML)

TL;DR

Senior Data Scientist (ML): Building and optimizing scalable machine learning solutions and predictive models to drive business growth and operational excellence with an accent on end-to-end ML project ownership. Focus on analyzing large-scale datasets, designing A/B tests, and integrating AI-powered tools to automate workflows.

Location: Remote or Hybrid (Hubs in Barcelona, Warsaw, Curitiba, Rio de Janeiro, Mexico City, Bogotá, Munich, Rome, Bologna). Must already have the legal right to work in the country of residence or the location of the role (no visa sponsorship).

Company

hirify.global Group is the world's largest healthcare platform connecting patients with doctors via SaaS and AI tools.

What you will do

• Own and deliver end-to-end data science and BI projects from exploration and experimentation to production deployment.
• Build predictive models and machine learning solutions to support business decision-making and operational efficiency.
• Analyze large datasets to uncover actionable insights, trends, and growth opportunities.
• Design and evaluate A/B tests to measure impact and validate hypotheses.
• Collaborate with cross-functional teams across Product, Sales, Marketing, and Engineering.
• Improve and maintain scalable data pipelines and ML workflows.

Requirements

• 5+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
• Strong Python skills and hands-on experience with Pandas, Scikit-learn, TensorFlow, or PyTorch.
• Solid understanding of statistics, experimentation, and model evaluation techniques.
• Experience with SQL and data warehouses such as Redshift, BigQuery, or Snowflake.
• Familiarity with MLOps and modern development practices (Git, Docker, MLflow, CI/CD).
• Must already have the legal right to work in the country of residence or the location of the role.

Nice to have

• Experience with Airflow, Kubernetes, Jupyter Notebook, or Athena.
• Knowledge of NLP, LLMs, or AI agent workflows.
• Familiarity with BI and visualization tools like Tableau or Superset.
• Previous experience in SaaS or high-growth tech environments.

Culture & Benefits

• Global healthcare insurance and mental health support.
• Wellness benefits, including gym memberships.
• Flexible work hours and remote work options.
• Local perks such as meal vouchers and transport allowances depending on the location.
• Opportunities for career growth and cross-functional project exploration.

Hiring process

• Introductory chat with a Talent Partner.
• Interview with the Business Intelligence Manager.
• Take-home business case and a collaborative discussion on findings.
• Final interview with a global stakeholder.