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Data Scientist Senior

MUTT DATA

Role overview

Qualifications

  • 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

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

Key facts

Hard skills

Other skills

  • Teamwork
  • Communication
  • Problem Solving

About the company

MUTT DATA logo

MUTT DATA

  • IT Services & Consulting
  • Scaleup
  • 51–200
Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning solutions that drive real business results. Whether you work in finance, insurance, advertising, telcos, on-demand services or e-commerce, our solutions will help you get ahead of your competition with the latest technologies, techniques and best practices We Are Astronomer & Amazon Consulting Partners. We Are #DataNerds.
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Job 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.
  • 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 culture – 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 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!
  • 👶 Monthly Childcare Reimbursement  – Because supporting families matters too
    •

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