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.

• Strong expertise in machine learning modeling and algorithm development.

• Advanced proficiency in Python and PySpark for large-scale data analysis and ML workflows.

• Hands-on experience with Snowflake for data processing and ML pipeline implementation.

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

• Solid problem-solving and communication skills, with the ability to engage technical and non-technical stakeholders.

• Experience collaborating across teams in data-intensive 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.

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. 

• Company-provided 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.