Data Science- Pipeline (LATAM)

At Blend, we are constantly looking to connect with talented professionals in the Data Science field. We have an active and ongoing pipeline of opportunities across various domains, including:

• MLOps & Data Engineering – building robust data pipelines, deploying models, and ensuring scalability.

• Analytical & Business-Focused Data Science – designing models, conducting advanced analytics, and delivering actionable insights.

• Generative AI & Applied AI – developing innovative AI solutions and integrating LLM-based approaches into business workflows.

We consider candidates of vary seniority levels — mostly from senior to seasoned experts leading large-scale projects at a Manager or Senior Manager levels. Our goal is to understand your strengths and explore how you can be a great match for our diverse range of roles.

You may work 100% remotely if you are currently living in LATAM, or you can always join us at the office in Montevideo, Uruguay or Bogotá, Colombia.

In this role, you may:

• Work cross-functionally with engineers, analysts, and business stakeholders.

• Design, develop, and deploy data-driven models and solutions.

• Build, maintain, and optimize ETL pipelines and model workflows.

• Perform statistical analyses, create dashboards, and communicate results effectively.

• Contribute to the development of AI-based solutions.

• Ensure code quality, reproducibility, and scalability in production environments.

Required Skills:

• Strong proficiency in SQL and Python.

• Excellent written and verbal English communication skills.

• Solid analytical thinking and problem-solving abilities.

• Familiarity with cloud platforms (AWS, Azure, GCP).

Education:

• Bachelor’s or Master’s degree in a relevant field (Computer Science, Data Science, Mathematics, Statistics, Engineering, or related), or equivalent hands-on experience.

Nice to have skills for different roles:

• Experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes).

• Exposure to Generative AI tools and frameworks (e.g., LangChain, Hugging Face, LLM fine-tuning).

• Familiarity with cloud platforms (AWS, Azure, GCP).

• Knowledge of visualization tools (Power BI, Tableau, Looker).

• Experience with big data frameworks (PySpark, Databricks, Snowflake).

How much experience must I have?
We are open to various levels of experience — whether you have a couple of years in the field or are a senior professional, we want to get to know you and explore the best fit within our projects.

If you’re passionate about Data Science, eager to tackle challenging problems, and ready to make an impact with innovative AI solutions, we are happy to meet you.

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. 
   

🛫 Travel opportunities to attend industry conferences and meet clients. 

👩‍🏫 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.  

⚖️ Flexible working options to help you strike the right balance.    

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.