Data Scientist

🚀 What We Do

• Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
• Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
• Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
• Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
• Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
• Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

🌟 Our Partnerships

• Amazon Web Services
• Astronomer
• Databricks

🌟 Our Values

• 📊 We are Data Nerds
• 🤗 We are Open Team Players
• 🚀 We Take Ownership
• 🌟 We Have a Positive Mindset


🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

Responsibilities 🤓

• Design and implement ML models for business needs like forecasting, recommendation systems, pricing, and churn.
• Perform EDA to identify trends, anomalies, and relationships in the data.
• Collaborate with stakeholders to define problems, success metrics, and data needs.
• Build scalable and maintainable ML workflows and ensure smooth model deployment.
• Monitor model performance and retrain when needed to ensure reliability.
• Communicate insights clearly to technical and non-technical audiences.
• Work closely with product, engineering, and business teams to integrate models.
• Mentor junior team members and promote data science best practices.
• Contribute to internal standards on testing, reproducibility, and documentation.
• Stay current with advances in ML and AI to bring new ideas to the team.

Required Skills 💻

• Expert knowledge of Python for data analysis and machine learning modeling.
• Hands-on experience with common ML libraries and frameworks.
• Strong understanding of machine learning and statistical techniques including supervised/unsupervised learning, time series analysis, and A/B testing.
• Experience deploying ML models into production and maintaining them. 
• Proficiency in writing clean, reproducible, production-grade code.
• Solid knowledge of SQL and experience working with structured and unstructured data from relational databases and/or data lakes.
• Demonstrated ability to communicate complex technical concepts to business stakeholders clearly and effectively.
• Experience working in cross-functional teams and collaborating with product, engineering, and business units.
• Experience  with version control (Git) and agile development practices.

Nice to Have Skills 😉

• Experience with recommendation systems, dynamic pricing algorithms, or customer segmentation techniques.
• Experience working with cloud platforms (AWS, GCP, Azure) and associated data/ML services.
• Knowledge of Docker, Airflow (or similar, e.g: prefect), MLflow or similar tools . 
• Familiarity with ML observability and monitoring tools (e.g., Evidently, WhyLabs, Prometheus + Grafana).
• Knowledge of CI/CD pipelines for ML systems.
• Knowledge of Poetry or uv.

🎁 Perks

• 🌍 Remote-first culture – work from anywhere!
• 🚀 In-Company English Lessons.
• 💪 Wellhub or sports club stipend to stay active
• 🚀 AWS & Databricks certifications fully covered (reward salary increase for AWS certifications!)
• 🍕 Food credits via Pedidos Ya – because great work deserves great food.
• 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
• 🤝 Referral bonuses – help us grow the team & get rewarded!
• ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!