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Muttdata

Posted 10 months ago

Open

Data Scientist

ArgentinaRemoteFull-time

AI Summary

Data Scientist responsible for designing and deploying ML models for forecasting, recommendations, pricing, and churn; conducts EDA, collaborates with cross-functional teams, and mentors juniors.

About this role

๐Ÿš€ Join Our Data Products and Machine Learning Development Remote Startup! ๐Ÿš€
Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
Weโ€™re looking for a Data Scientist to help take our expertise to the next level. If you consider yourself a data nerd like us, weโ€™d love to connect! ๐Ÿถ๐Ÿš€

๐Ÿš€ 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.
  • ๐ŸŒŸ Our Partnerships

  • Amazon Web Services
  • Astronomer
  • Databricks
  • ๐ŸŒŸ Our Values

  • ๐Ÿ“Š We are Data Nerds
  • ๐Ÿค— We are Open Team Players
  • ๐Ÿš€ We Take Ownership
  • ๐ŸŒŸ We Have a Positive Mindset
  • ๐Ÿ” Curious about what weโ€™re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects weโ€™re working on! ๐Ÿš€

    Responsibilities ๐Ÿค“

  • 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 ๐Ÿ’ป

  • 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 ๐Ÿ˜‰

  • 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.
  • ๐ŸŽ Perks

  • ๐ŸŒ Remote-first culture โ€“ work from anywhere!
  • ๐Ÿš€ In-Company English Lessons.
  • ๐Ÿ’ช Wellhub or sports club stipend to stay active
  • ๐Ÿš€ AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • ๐Ÿ• Food credits via Pedidos Ya โ€“ because great work deserves great food.
  • ๐ŸŽ‚ Birthday off + an extra vacation week (Mutt Week! ๐Ÿ–๏ธ)
  • ๐Ÿค Referral bonuses โ€“ help us grow the team & get rewarded!
  • โœˆ๏ธ๐Ÿ๏ธ Annual Mutters' Trip โ€“ an unforgettable getaway with the team!
  • Skills

    A/b TestingAgileAirflowCloud Platforms (AWS, GCP, Azure)Data LakesData VisualizationDockerEvidently Or WhyLabsGitMLflowMLOpsModel DeploymentNumPyPandasPOETRY Or UvProduction-grade CodePrometheus/GrafanaPythonSciKit-LearnSQLSupervised LearningTime-series AnalysisUnsupervised Learning

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