Senior Data Scientist

Blend Bogota, D.C., Capital District, Colombia

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Blend Bogota, D.C., Capital District, Colombia

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Company Description
Blendis 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

Company Description
Blendis 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 Description
As a Sr Data Scientist, you will work with a team focused on developing advanced recommendation engines and deploying machine learning models into production environments.

Leveraging your expertise in Python and MMM, along with your experience in MLOps, you will play a pivotal role in enhancing our data-driven decision-making processes.
You may work 100% remotely within Colombia, or you can always join us at the office in Bogotá, Colombia!
Qualifications

• 5+ years of experience in data science or related roles, with a strong focus on MMM.
  
  
• Expertise in Python for data analysis, modeling, and deployment.
  
  
• Proven experience in MLOps, including deploying models at scale and managing their lifecycle.
  
  
• Solid understanding of machine learning algorithms, data structures, and statistical modeling techniques.
  
  
• Experience working with SciKit - Learn, PyMC
• Experience designing and deploying recommendation engines at scale.
  
  
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
  
  
• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  
  
• Detail-oriented with a passion for building robust, scalable, and efficient machine learning systems.
  

Additional Information
Our perks and benefits:
️ Flexible working options to help you strike the right balance.
After office events, football, tennis and game nights (headquarters).
Learning Opportunities

• AWS Certifications (we are AWS Partners).
  
  
• Study plans, courses and other certifications.
  
  
• English Lessons.
  

Mentoring and Development opportunities to shape your career path.
Great location and even greater teammates!
So what are the next steps?
We are eager to learn about you! Send us your resume and LinkedIn profile below and we’ll explore working together!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Marketing

• Industries

  Professional Services

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