Data Scientist Lead

🚀 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 & 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!