Senior Data Scientist

About the role

We are seeking a dynamic and innovative Senior Data Scientist to join our forward-thinking team. In this pivotal role, you will leverage data to drive operational excellence and spearhead the development of sophisticated machine learning models. Collaborate with top-tier Machine Learning and Data Engineers to bring these models into production and provide AI expertise across the organization, ensuring data-driven decision-making and innovative solutions.

Requirements:

• Experience: 5+ years of hands-on experience in data science and machine learning, with a proven portfolio of impactful projects.
• Modelling Expertise: Experience in training tabular and time-series models using classical machine learning and deep learning approaches.
• Technical Skills: Proficiency in building data pipelines, training models, and conducting experiments using industry-standard tools.
• Database Knowledge: Advanced SQL skills, including the ability to debug complex queries and a solid understanding of OLTP vs. OLAP systems (experience with OLAP systems is a plus).
• Problem-Solving: Exceptional analytical skills with a detail-oriented and innovative approach to challenges.
• Communication: Strong verbal and written communication skills to collaborate effectively within a team.

Bonus points

• Cloud & Containers: Experience with cloud platforms (AWS, GCP, Azure) and container tools like Kubernetes.
• ML Pipelines: Expertise in ML pipeline development, including data preprocessing, model training, deployment, and monitoring.
• MLOps Tools: Familiarity with MLOps tools like MLflow or Feast.
• OLAP Expertise: Hands-on experience with large-scale OLAP systems such as Clickhouse, BigQuery, or Snowflake.
• Advanced Modeling: Knowledge of advanced techniques for handling imbalanced datasets and other complex modeling challenges.

Responsibilities:

• Run Data Science Experiments: Design, execute, and evaluate experiments to refine models and improve outcomes.
• Develop Machine Learning Models: Create, validate, and maintain state-of-the-art algorithms, focusing on both tabular and time-series data
• Analyze Data: Perform deep-dive data analysis and deliver actionable insights to shape our business strategies.
• Collaborate: Work closely with cross-functional teams to align data science projects with company goals.
• Stay Current: Keep up with the latest advancements in data science, cloud technologies, and DevOps.
• Master Databases: Write, debug, and optimize complex SQL queries while effectively navigating OLAP and OLTP systems.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Enjoy a flexible, remote-first global environment.
• Equity options.
• Private health insurance.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement.
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

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