Mid-Level Data Scientist

• Explore, clean, and analyze large volumes of structured and unstructured data to identify patterns, anomalies, and opportunities
• Develop, train, and validate predictive and prescriptive Machine Learning models
• Create statistical analyses and hypothesis tests to validate business assumptions
• Translate complex mathematical metrics into reports and dashboards for technical and non-technical stakeholders
• Collaborate with data engineers to structure scalable pipelines
• Deploy models to production following software engineering best practices
• Write clean, modular, and testable code
• Use Git for version control, participate in code reviews, and deploy models and data applications in collaboration with engineering and MLOps teams

• Experience with Python (Pandas, NumPy, Scikit-Learn, SciPy) or R
• Proficiency in data querying and manipulation tools: advanced SQL
• Hands-on experience with Machine Learning and Deep Learning frameworks
• Strong knowledge of Statistics (probability, regression, A/B testing) and Linear Algebra
• Experience with data visualization tools (Power BI, Tableau, or Looker)
• Experience with software engineering (Git, GCP and Azure cloud platforms, object-oriented programming)

• Health and dental insurance
• Home office allowance
• Meal allowance
• Birthday day off
• Health and wellness program
• Individual Development Plan (IDP)