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  

What is this position about?

As a Manager Data Scientist, you'll collaborate closely with business leaders to address our clients' diverse business challenges. Our engagements span across various sectors including marketing, revenue management, customer service, inventory management, and other key aspects of contemporary business. You will lead and mentor junior data scientists, helping them achieve their goals and ensuring the team's success. This role requires strong business acumen to understand and solve complex problems, ensuring the successful implementation of data-driven solutions across a spectrum of business models and situations.

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

• Working with practice leaders and clients to understand business problems, industry context, data sources, risks, and constraints.
• Solving challenges through diverse Data Science solutions and aligning stakeholders on strategies, deliverables, and roadmaps. 
• Developing project plans with milestones, dates, owners, and risk contingency, creating and maintaining efficient data pipelines within clients' architecture using SQL, Spark, and Cloud technologies.
• Assembling large, complex datasets that meet business requirements and constructing analytics tools to provide actionable insights for customer acquisition and operational efficiency.
• Performing data cleaning, QC, and integration on an Advanced Data Science Platform, summarizing data issues and conducting statistical analysis for decision-making.
• Training, validate, and cross-validate predictive models using cutting-edge techniques and documenting results for client deliverables.

• 5+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting optimization. 
• Demonstrated ability leading and mentoring data science teams.
• Experience with one or more Advanced Data Science software languages (Python, R, SAS). 
• Proven experience in machine learning, deep learning, optimization, and time series analysis.
• Experience with SQL and relational databases, query authoring and tuning. Working familiarity with Snowflake is a plus.
• Experience with Spark and data-frames in PySpark or Scala.
• Strong problem-solving skills; ability to pivot complex data to answer business questions.
• Comfortable with cloud-based platforms (AWS, Azure, Google).
• Familiarity with cloud platforms like Databricks and Vertex AI for model development and deployment.

What about languages? 

• You will need excellent written and verbal English for clear and effective communication with the team. 

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.