Data Scientist Senior

About the role

🚀 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.