Data Scientist Manager

Summary

Join Blend, an award-winning consultancy, as a Manager Data Scientist to lead a team in developing advanced recommendation engines and deploying machine learning models. You will leverage your expertise in Python and PySpark, and MLOps to enhance data-driven decision-making. This role offers the opportunity to mentor a team and drive innovation in a dynamic organization. You can work 100% remotely if located in LATAM or join the Montevideo, Uruguay office. The position requires significant experience in data science, including hands-on work with Generative AI and team leadership. Blend offers various perks and benefits, including daily lunches, flexible working options, equipment, snacks, after-office events, learning opportunities, and mentoring.

Requirements

• 5+ years of experience in data science or related roles, with a strong focus on recommendation engines
• Expertise in Python and PySpark 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 designing and deploying recommendation engines at scale
• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders
• Leadership experience in guiding and mentoring a team of data scientists
• Detail-oriented with a passion for building robust, scalable, and efficient machine learning systems
• Excellent written and verbal English for clear and effective communication with the team
• 6+ years of experience in data science, including hands-on work with Generative AI and leadership in team development

Responsibilities

• Lead a team of data scientists in developing and optimizing recommendation engines using advanced machine learning techniques
• Collaborate closely with engineering, product management, and business stakeholders to understand requirements and translate them into technical solutions
• Drive the implementation of machine learning models into production, ensuring scalability, reliability, and efficiency
• Establish and maintain best practices for MLOps, including model deployment, monitoring, and lifecycle management
• Perform hands-on Python and PySpark coding to prototype, test, and deploy machine learning solutions
• Mentor and coach team members, fostering a culture of continuous learning and technical growth
• Conduct code reviews, provide technical guidance, and ensure high standards of software engineering practices within the team
• Collaborate effectively with cross-functional teams to deliver impactful insights and solutions

Preferred Qualifications

Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus

Benefits

• Every day lunches! (headquarters)
• Vegetarian, vegan, gluten and sugar-free options
• Gourmet meals every Friday with our on-site chef!
• Flexible working options to help you strike the right balance
• All the equipment you need to harness your talent (Macbook and accessories)
• Snacks and beverages available everyday (headquarters)
• After office events, football, tennis and game nights (headquarters)
• Everyone is welcome to join our football league every Wednesday’s and Friday’s
• Challenge your teammates to a pool game and win the office’s trophy!
• Tennis courts available for friendly matches
• You are not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join!
• AWS Certifications (we are AWS Partners)
• Study plans, courses and other certifications
• English Lessons
• Learn from your teammates on our Tech Tuesdays!
• Mentoring and Development opportunities to shape your career path
• Anniversary and birthday gifts
• Great location and even greater teammates!