Data Scientist

Summary

Join Mutt Data, a remote-first startup, as a Data Scientist to build innovative machine learning systems for demand planning and budget forecasting. You will design and implement ML models, perform EDA, collaborate with stakeholders, build scalable workflows, and monitor model performance. The ideal candidate possesses expert Python skills, experience with ML libraries, and a strong understanding of statistical techniques. Mutt Data offers a remote-first culture, wellness stipends, AWS & Databricks certification coverage, food credits, extra vacation time, referral bonuses, and an annual team trip.

Requirements

• 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

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

Preferred Qualifications

• 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

Benefits

• Remote-first culture – work from anywhere!
• 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!