Data Scientist

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀

Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.

We’re looking for a Data Scientist to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀

🚀 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 cultur e – work from anywhere!

• 🚀 In-Company English Lessons.

• 💪 Wellhub or sports club stipend to stay active

• 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered

• 🍕 Food credits via…