Lead Data Scientist

• Develop and deploy scalable machine learning models using Python and PySpark.

• Build and implement endtoend 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.

• Qualifications

  • Strong expertise in machine learning modeling and algorithm development.

  • Advanced proficiency in Python and PySpark for largescale data analysis and ML workflows.

  • Handson experience with Snowflake for data processing and ML pipeline implementation.

  • Exposure to MLOps practices (model deployment, lifecycle management, governance).

  • Solid problemsolving and communication skills, with the ability to engage technical and nontechnical stakeholders.

  • Experience collaborating across teams in dataintensive environments.

  • Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.

  • What about languages?

    Excellent written and verbal English is required to ensure effective communication with team members and stakeholders.

    How much experience must I have?

    Minimum of 5+ years of experience in Data Science, with proven expertise in ML modeling and applied MLOps practices.

    Additional Information

    Our Perks and Benefits:

    📚 Learning Opportunities:

    • Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.

    • • Access to AI learning paths to stay up to date with the latest technologies.

      • • Study plans, courses, and additional certifications tailored to your role.

        • • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.

          • • English lessons to support your professional communication.

            • 👩‍🏫 Mentoring and Development:

              • Career development plans and mentorship programs to help shape your path.

              • 🎁 Celebrations & Support:

                • Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.

                • Companyprovided equipment.

                • Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.