Muttdata
Data Scientist Senior
- Compensation
- Not disclosed
- Location
- Argentina
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data science
- Posted
Skills
Must have
- 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
- 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.
Full description
🚀 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.