Lead Data Scientist

Are you ready to lead the Data Science Department at an amazing company?

If you live and breathe data and want to solve some of the most challenging business problems on the web and mobile Internet, this is the perfect opportunity for you.

Your Responsibilities

In this leadership role, you will bridge the gap between complex research and real-world business impact.

• Real-Time Systems: Analyze and help deploy models for real-time bidding systems handling billions of events per day.
• Advanced Research: Lead cutting-edge research in supervised and unsupervised ML algorithms to facilitate effective real-time decision-making.
• Scientific Application: Apply scientific knowledge to collect data, identify problems, and construct methodologies.
• Pipeline Translation: Discover and translate business challenges into data pipelines and model frameworks.
• Agile Deployment: Deliver results quickly while continually adjusting models according to real-time feedback.
• Stakeholder Communication: Convey complex analysis results clearly and with conviction to all stakeholder levels.

Requirements

• Experience: 8 years of work experience in a commercial data science environment requiring the combined application of statistical and technical skills.
• Education: An MSc or Ph.D. is required (e.g., in Data Science, Mathematics, Computer Science, Statistics, or Physics).
• Development Skills: Excellent development skills, with Python being a requirement.
• Big Data Stack: Experience working with distributed computing tools, specifically Spark, Airflow, and Kubernetes.

Preferred Qualifications & Advantages

• Environment: Previous work experience in a startup environment is preferred.
• Industry Knowledge: Experience in Ad-Tech is a significant plus.
• Technical Skills: Proficiency in Scala is considered a plus.
• Domain Expertise: Familiarity with digital marketing, advertising, or analytics