Job description
Company Description
Blend is an award-winning, new breed consultancy focused on powering exceptional results for our Fortune 500⁄1000 clients and other major organizations. We are a growing company—born at the intersection of advanced analytics, data, and technology.
Who we are:
People are everything at Blend. We are inspired by advancing our Client’s most critical initiatives, products and projects by matching our clients with the right talent. BLEND360 has been among the Inc. 5000 fastest growing companies 8 years in a row, and we’re very proud of our World Class NPS score. Our success is a direct result of our passion for advancing the careers of the talented people we work with every day. When you work at Blend, you will:
Collaborate with a smart, passionate group of people who are invested in your sucess.
Partner with an impressive list of clients, who value Blend360’s services and the world class experience we deliver with every engagement.
Thrive with a company and leadership team who are committed to growth.
What is this position about?
As a Manager Data Scientist, you will lead a team focused on developing advanced recommendation engines and deploying machine learning models into production environments. Leveraging your expertise in Python and PySpark coding, along with your experience in MLOps, you will play a pivotal role in enhancing our data-driven decision-making processes.
This position offers a unique opportunity to lead and mentor a team while driving technical excellence and innovation in a dynamic, data-centric organization.
You may work 100% remotely if you are currently living in LATAM, or you can always join us at the office in Montevideo, Uruguay!
Job Description
- 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.
Qualifications
- 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.
- 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.
- 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.
What about languages?
You will need excellent written and verbal English for clear and effective communication with the team.
How much experience must I have?
We’re looking for someone with 6+ years of experience in data science, including hands-on work with Generative AI and leadership in team development.
Additional Information
Our perks and 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!
📚 Learning opportunities:
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!
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!
