Offer summary

Qualifications:

Strong expertise in Python for data analysis and machine learning., Experience with ML libraries, frameworks, and deploying models into production., Solid understanding of machine learning techniques, statistical analysis, and data handling., Excellent communication skills for collaborating with cross-functional teams and stakeholders..

Key responsibilities:

Design and implement ML models for forecasting, recommendations, and pricing.

Perform exploratory data analysis to identify trends and anomalies.

Collaborate with teams to define problems, success metrics, and data requirements.

Monitor and maintain model performance, ensuring reliability and integration.

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀
Mutt Data is a dynamic startup committed to crafting innovative systems using cuttingedge 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 highlevel decisionmaking, tailored to each client.
Offering comprehensive Data Engineering and custom AI solutions, we optimize cloudbased systems.
Using Generative AI, we help ecommerce platforms and retailers create higherquality 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 ecommerce, 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 nontechnical 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.
Handson experience with common ML libraries and frameworks.
Strong understanding of machine learning and statistical techniques including supervisedunsupervised learning, time series analysis, and AB testing.
Experience deploying ML models into production and maintaining them.
Proficiency in writing clean, reproducible, productiongrade code.
Solid knowledge of SQL and experience working with structured and unstructured data from relational databases andor data lakes.
Demonstrated ability to communicate complex technical concepts to business stakeholders clearly and effectively.
Experience working in crossfunctional 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 dataML 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 CICD pipelines for ML systems.
Knowledge of Poetry or uv.

🎁 Perks
🌍 Remotefirst culture – work from anywhere!
🚀 InCompany 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!