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 Data Scientist, you will play a pivotal role in building and deploying scalable machine learning solutions that drive meaningful business decisions. We are looking for a highly motivated individual to join our team, where you will apply your expertise in statistics, machine learning, and engineering to support key business areas such as pricing, forecasting, and classification. In this role, you will be responsible for transforming data science prototypes into production-ready systems, utilizing modern tools and DevOps best practices. This is a hands-on opportunity to tackle high-impact problems and enhance your skills throughout the entire ML lifecycle.
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
Build, deploy, and monitor machine learning models for time series forecasting, classification, and pricing optimization.
Convert exploratory notebooks and prototypes into clean, scalable production Python code.
Set up and manage APIs for batch or real-time model serving and integration with business applications.
Maintain and optimize end-to-end data and ML pipelines, ensuring seamless flow from ingestion to deployment.
Implement automated testing frameworks to ensure model and code quality across environments.
Collaborate with data engineers and DevOps teams to integrate CI/CD practices and support infrastructure using tools like Docker and Terraform.
Refactor legacy codebases for maintainability, performance, and scalability.
Utilize tools such as Databricks and version control platforms like GitLab for collaborative development and model lifecycle management.
Qualifications
2–3 years of hands-on experience in data science, machine learning, or software engineering roles.
Strong proficiency in Python, particularly with libraries such as scikit-learn, statsmodels, and pandas.
Solid command of SQL for data exploration, transformation, and feature engineering.
Experience with deploying models to production, serving them via APIs, and managing versioning with GitLab or similar tools.
Familiarity with containerization and infrastructure-as-code tools such as Docker and Terraform.
Practical knowledge of time series forecasting, classification models, and statistical analysis.
Exposure to revenue management or pricing optimization techniques; knowledge of microeconomics is a strong plus.
Experience with Databricks and/or Azure is preferred.
Understanding of CI/CD pipelines and DevOps practices in ML workflows.
Strong communication skills and a collaborative mindset to work effectively in cross-functional teams.
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 2+ years’ of experience in similar roles.
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!
