📍 LATAM • 🏢 Hybrid
Data Scientist
About SunnyData
At SunnyData, our mission is to help customers build a highly scalable architecture, robust data engineering pipelines, easy data consumption layers, and, more importantly, build ML and AI applications to power their business and drive outstanding business outcomes. As a Data Scientist you will lead complex data projects, develop predictive models, and deploy scalable machine learning solutions. You will work cross-functionally with engineering, product, and analytics teams to derive actionable insights and influence key business decisions.
The Impact You’ll Have
Lead the design, development, and deployment of machine learning models.
Work with large, complex datasets to extract valuable insights and build predictive analytics pipelines.
Collaborate with data engineers to architect and optimize cloud-based data solutions.
Translate business challenges into data-driven solutions using statistical modeling and machine learning techniques.
Automate data workflows and model deployment processes using cloud services and CI/CD tools.
Mentor junior data scientists and contribute to best practices in model development and operationalization.
Communicate findings and strategic recommendations to stakeholders and executive leadership.
What We’re Looking For
Proficient in Python (pandas, scikit-learn, PyTorch or TensorFlow) and SQL.
5+ years of experience in data science or machine learning roles.
Strong background in statistics, A/B testing, and machine learning algorithms
Excellent communication and leadership skills.
Experience building and deploying models in production environments.
⭐️ Preferred Qualifications
Experience with big data tools (Spark, EMR).
Familiarity with containerization (Docker, ECS, EKS) and serverless architecture.
Our Commitment to Diversity and Inclusion
At SunnyData, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at SunnyData are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics
☀️ Why Join SunnyData?
Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.
Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.
Career Growth: Opportunities for professional development and career advancement.
Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.
If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.
Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker Pipelines, Airflow).
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field is preferred.