Senior Data Scientist

Overview

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.

Responsibilities

• Develop Machine Learning Models : Create, validate, and maintain state-of-the-art algorithms, focusing on both tabular and time-series data
• Run Data Science Experiments : Design, execute, and evaluate experiments to refine models and improve outcomes.
• 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.

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.

What’s init for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) with equity options
• Direct impact on the product in a cutting-edge company that’s reshaping cloud automation and optimization
• Collaborate with a global team of top cloud experts and innovators passionate about pushing the boundaries of Kubernetes technology
• Fast development cycles with a short feedback loop and direct customer impact
• Transparent work environment
• Focus time with minimal meetings and bureaucracy
• 10% of your time dedicated to self-improvement and personal projects.