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.

We are seeking a Lead Data Scientist to contribute to our next level of growth and expansion.

What is this position about?

We are seeking a Lead Data Scientist to drive strategic analytics initiatives, influence business decisions, and lead complex data science projects across marketplace and product domains. This role requires deep technical expertise, strong stakeholder management capabilities, and the ability to leverage AI, advanced analytics, and scalable data solutions to create measurable business impact.

• Lead the design and execution of advanced analytics and data science initiatives.
• Define and govern KPI frameworks that support strategic business objectives.
• Drive marketplace analytics and product analytics efforts across multiple business areas.
• Develop scalable analytical solutions using Python, SQL, GCP, and AI-powered technologies.
• Oversee reporting ecosystems, dashboards, and data pipeline operations.
• Partner with senior business leaders to identify opportunities and prioritize analytical initiatives.
• Translate complex analytical findings into actionable recommendations for executive stakeholders.
• Guide teams in the application of best practices for analytics, experimentation, and data-driven decision making.
• Drive automation and process optimization through AI-enabled solutions.
• Manage multiple high-priority initiatives in a dynamic and fast-paced environment.
• Influence strategic decisions through quantitative analysis and business storytelling.

• Expert-level proficiency in Python for advanced analytics, machine learning, and data science applications.
• Strong SQL expertise with experience analyzing large-scale datasets.
• Advanced Excel and executive reporting capabilities.
• Experience with Tableau or equivalent reporting and visualization platforms.
• Strong experience with Google Cloud Platform (GCP).
• Experience managing reporting pipelines and analytical operations.
• Deep understanding of marketplace analytics and product analytics.
• Proven experience leading large-scale analytical initiatives and influencing business strategy.
• Strong stakeholder management skills, including executive-level communication.
• Demonstrated experience implementing AI solutions and integrating AI into business processes.
• Ability to manage ambiguity, shifting priorities, and demanding stakeholder environments.
• Exceptional communication, leadership, and collaboration skills.

What about languages?

• Advanced/Fluent English.
• Comfortable presenting complex technical concepts to executive and business stakeholders.

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.