applike group is hiring a
Data Science Lead

Summary

The job is for a Lead Data Scientist at adjoe, a mobile ad platform. The role involves managing a data science team, contributing to strategic planning, and working on data science tasks. The required qualifications include a tech degree or 5 years of professional experience in data science, leadership experience, strong programming skills, analytical skills, and experience with large datasets from various sources.

Requirements

• You have a tech degree (mathematics, physics, computer science, or similar). Alternatively 5 years of professional experience in data science
• You have 2+ years’ of experience working as a Lead (hiring people, doing regular 1-1s, creating career plans)
• You have a strong knowledge of Python, R, Scala, Julia or similar typical programming languages for Data Science
• You have excellent analytical skills and for every problem you see more than just one solution
• You have experience drilling into large amounts of data coming from various sources – including AWS Athena, Kafka, Spark, Flink, S3, MySQL
• You are able to dive deep into mathematical foundations and explain complex topics in a simple way
• You are an excellent cross-team communicator

Responsibilities

• Grow and manage a data science team: hire new team members, organize routines in the team, set up guidelines (code style, documentation, best practices)
• Understand business goals to come up with suitable data solutions to make WAVE a strong competitor in the AdTech industry
• Be hands-on by working on data science tasks on your own (at least 50% of the working time)
• Be a mentor and train data scientists in the team to make them better in analysis, programming, communication, and planning
• Be the owner of critical data science documentation (experiments, implementation details)
• Align with the WAVE product team and adjoe’s Cloud Infrastructure team on priorities, implementation details, tools and best practices
• Contribute to the company’s strategic planning. Work on a long-term roadmap and quarterly OKRs

Preferred Qualifications

Plus: you have experience in building a Data Science tech stack (e.g. Airflow, Spark, Kafka, Flink) and can choose the right technologies for the job together with MLOps and Data Engineers

Benefits

• Work-Life Package: 2 remote days per week, 30 vacation days, 3 weeks per year of remote work, flexible working hours, dog-friendly kick-ass office in the center of the city
• Relocation Package: Visa & legal support, relocation bonus, reimbursement of German Classes costs and more
• Happy Belly Package: Monthly company lunch, tons of free snacks and drinks, free breakfast & fresh delicious pastries every Monday
• Physical & Mental Health Package: In-house gym with personal trainer, various classes like Yoga with expert teachers
• Activity Package: Regular team and company events, hackathons
• Education Package: Opportunities to boost your professional development with courses and trainings directly connected to your career goals
• Wealth building: virtual stock options for all our regular employees
• Free of charge access to our EAP (Employee Assistance Program). which is a counseling service designed to support your mental health and well-being