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Data Scientist Lead

MUTT DATA

Role overview

Qualifications

  • High proficiency in Python
  • Solid understanding of software development principles
  • Strong foundation in mathematics, statistics, and machine learning theory
  • Excellent ability to communicate complex findings

Responsibilities

  • Lead and mentor a team of data scientists
  • Architect and implement robust, high-quality code in Python
  • Deploy and monitor machine learning projects in production
  • Translate complex business challenges into clear data science frameworks

Key facts

Hard skills

Python (Programming Language) Machine Learning Data Engineering Statistical Analysis Software Development Databricks Client Services

Other skills

  • Mathematics
  • Problem Solving
  • Communication
  • Leadership

About the company

MUTT DATA logo

MUTT DATA

Artificial Intelligence & Machine Learning Services

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.

Company details

Company typeScaleup
IndustryArtificial Intelligence & Machine Learning Services
Company size51 - 200

Links

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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 Lead 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 🤓
  • Lead and mentor a team of data scientists, overseeing project execution, and facilitating their professional growth.
  • Architect and implement robust, high-quality code in Python, enforcing best practices for software development and version control using Git.
  • Deploy and monitor machine learning projects in production, ensuring reliability, scalability, and performance over time.
  • Translate complex business challenges into clear data science frameworks and project plans.
  • Conduct in-depth research and apply advanced statistical and machine learning techniques to generate actionable insights.
  • Effectively communicate findings and the value of data science solutions to non-technical stakeholders and senior leadership through compelling presentations and reports.
  • Guide junior team members in developing their presentation skills and confidence in sharing their work.
  • Proactively identify and propose innovative data-driven opportunities and approaches to add value to the business.
  • Foster a collaborative environment, enabling the team to work in parallel to accelerate progress and deliver results for our clients efficiently.

    • Required Skills 💻
  • Programming Expertise: High proficiency in Python, with a strong emphasis on writing clean, efficient, and maintainable code.
  • Software Development Best Practices: Solid understanding and practical application of software development principles, including collaborative coding and version control using Git.
  • Theoretical Depth: Strong foundation in mathematics, statistics, and machine learning theory, with the ability to understand and implement new techniques from academic literature.
  • Problem-Solving & Innovation: A creative and analytical mindset with a talent for proposing novel solutions to challenging problems.
  • Communication & Presentation: Excellent ability to distill complex quantitative findings into clear, concise, and persuasive presentations for diverse audiences.
  • Leadership & Mentoring: A passion for guiding and developing junior talent, fostering a supportive and high-performing team environment.

    • Nice to Have Skills 😉
  • Proven experience in a data science role with a track record of leading projects or mentoring team members.
  • Experience working with cloud-based data platforms, particularly Databricks.
  • Previous experience in a client-facing or consulting role.
  • A portfolio of completed data science projects or contributions to open-source libraries.

    • 🎁 Perks
  • Remote-first culture – work from anywhere! 🌍
  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • In-Company English Lessons.
  • Birthday off + an extra vacation week (Mutt Week! 🏖️)
  • Referral bonuses – help us grow the team & get rewarded!
  • Maslow: Monthly credits to spend in our benefits marketplace.
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
    •

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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
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