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MMM Data Scientist

Blend360

Montevideo, Montevideo Department, Uruguay Remote permanent

Posted: January 12, 2026

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Quick Summary

Blend is a premier AI services provider that co-creates meaningful impact for its clients through the power of data science, AI, technology, and people.

Job Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com  

We are looking for a detail-oriented and technically strong Data Scientist to support the end-to-end lifecycle of model scoring, dashboard development, business reporting and Marketing Mix Modeling (MMM). In this role, you’ll work closely with teams and external vendors to ensure the accuracy, consistency, and effectiveness of analytics processes that power key decision-making, , including measurement of marketing performance.

You’ll be responsible for maintaining model documentation, supporting and eventually leading scoring and refresh meetings, optimizing pipelines and dashboards, and performing ad hoc analysis. In addition, contributing to the development, maintenance, and interpretation of Marketing Mix Models. 

The ideal candidate combines strong technical skills in Python, SQL, and MMM experience.  

 

 

• Proficiency in Python, SQL, and dashboard tools
• Experience with Marketing Mix Modeling (MMM) tools such as Robyn, Meridian, or equivalent
• Experience working with vendor-led MMM platforms (e.g., Nielsen, Kantar)
• Familiarity with Bayesian time-series modeling and media response curves
• Strong attention to detail and data validation
• Experience managing recurring processes and reporting
• Clear communicator with cross-functional teams
• Comfortable in ambiguous, fast-moving environments
• Experience mentoring junior analysts or data scientists (a plus)

What about languages?

You will need intermediate to advanced English for clear and effective communication with the team.

How much experience must I have?

We are looking for candidates with at least 6+ years of experience in data science or analytics

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.  

⚖️ 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. 

So what are the next steps? 

Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together! 

I'm interested

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