Full-Time Lead Data Scientist

• Develop and deploy scalable machine learning models using Python and PySpark.
• Build and implement end-to-end MLOps frameworks within Snowflake, including feature stores, model registry, and pipelines.
• Define and enforce best practices for model testing, monitoring, and deployment governance.
• Collaborate with data engineers, product teams, and business stakeholders to deliver actionable ML solutions.
• Conduct model validation and performance evaluation, ensuring fairness, robustness, and reproducibility.
• Drive efficiency and scalability in ML workflows through automation and distributed computing.
• Stay up to date with emerging trends in ML, MLOps, and Snowflake ecosystem to continuously improve solutions.
• Minimum of 5+ years of experience in Data Science, with proven expertise in ML modeling and applied MLOps practices.

• Learning Opportunities: Certifications in AWS, Databricks, and Snowflake. Access to AI learning paths. Study plans, courses, and certifications. Access to Udemy Business. English lessons.
• Mentoring and Development: Career development plans and mentorship programs.
• Celebrations & Support: Special day rewards. Company-provided equipment.

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