Data Science Lead

Reposted 7 Days Ago
Be an Early Applicant
Guadalajara, Jalisco, MEX
Hybrid
Mid level
Database • Analytics
The Role
The Lead Data Scientist will design and deploy Machine Learning models, collaborate on ML integration, contribute to MLOps practices, and provide mentorship to junior members.
Summary Generated by Built In
Company 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 seeking a Lead Data Scientist to contribute to our next level of growth and expansion.

We are looking for our first Lead Data Scientist based in Guadalajara, Mexico, to help build and scale advanced Machine Learning solutions. This role is ideal for a strong Data Scientist with solid coding capabilities, hands-on ML experience, and exposure to MLOps practices. The selected candidate will play a key role in designing, developing, and deploying ML models while collaborating with cross-functional teams and contributing to technical leadership initiatives

Job Description

  • Design, develop, and deploy Machine Learning models to solve business problems.
  • Write production-level code to support scalable ML solutions.

  • Collaborate with data engineers and software engineers to integrate ML models into production environments.

  • Contribute to the implementation of MLOps best practices for model monitoring, versioning, and deployment.

  • Work with cloud platforms (AWS, GCP, or similar) to build and maintain ML infrastructure.

  • Partner with stakeholders to translate business needs into data-driven solutions.

  • Provide technical guidance and mentorship to junior team members.

  • Communicate technical findings and recommendations clearly to both technical and non-technical audiences.

Qualifications

  • Strong knowledge of Machine Learning algorithms and modeling techniques.

  • Solid programming skills (Python or similar language).

  • Experience working with cloud platforms such as AWS or GCP.

  • Exposure to MLOps practices and model deployment processes.

  • Experience working with data pipelines and ML lifecycle management.

  • Strong analytical and problem-solving skills.

  • Excellent communication skills and ability to work collaboratively in cross-functional teams.

  • Positive, proactive, and curious mindset.

Additional Information

Our Perks and Benefits: 

πŸ“š 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. 
     

πŸ›« Travel opportunities to attend industry conferences and meet clients. 

πŸ‘©β€πŸ« 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.  

βš–οΈ 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. 

Top Skills

AWS
GCP
Machine Learning
Mlops
Python
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The Company
HQ: Columbia, MD
390 Employees
Year Founded: 2016

What We Do

Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.

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