Data Science Lead

vor 2 Wochen

Hamburg, Deutschland justtrack Vollzeit

As a Data Science Lead you will join a team of highly committed analysts, data engineers and developers and form our data science team.

At justtrack, we build a SaaS business that provides app and game publishers an attractive toolset to handle their entire global marketing growth process. Starting from managing, analyzing, and automating marketing processes justtrack enables gathering deep mobile product insights.

As part of the Applike Group (financially backed by media powerhouse Bertelsmann), justtrack has access to industry experts and funding with a long-term growth mindset.

You will start your onboarding in the Core team. Our team’s mission is to effortlessly gather, aggregate, and instantly provide all in-app event and marketing data to developers and marketers. Joining the Core team, you will have access to state of the art technology and work closely with our analysts, data engineers and developers owning our data lake and pipelines. You will form an independent data science team to implement new approaches on how to leverage our data assets with new algorithms and ideas.

Your exploratory data analysis will help us make the data speak by transforming recurring analyses into metrics and alerts.

We update our analytics tech stack frequently to adjust to our platform growth. Therefore, we offer plenty of opportunities to learn. Knowledge exchange is fostered by regular workshops.

How the optimal candidate will look like:
  • You have 5+ years of experience in applying Data Science/ML in real-life tasks where the projects had measurable business value
  • You have a Master’s degree in Data Science/Applied Mathematics or a related field
  • Expert knowledge of Python and SQL
  • You have an entrepreneurial and hacker mindset, when there is a tough problem it motivates you to drill deeper
  • You easily switch between move-fast- and no-margin-for-error-modes
  • You are able to dive deep into math and explain complex topics in an easy way
Key responsibilities:
  • You scale the team and mentor a small team of data scientists and analysts
  • Drive the development of our data science tech stack by looking for innovation opportunities and steering the implementation by our development team
  • Hand in hand with our developers you transform recurring analyses into metrics, charts, business related messages and the underlying data storage and pipelines
  • You will work on ML models to notify our users about detected trends and statistical outliers in real-time
  • You extract knowledge and actionable insights from noisy, structured and unstructured data
  • You perform exploratory data analysis to determine correlations and trends
  • You drill into data from various sources (Redshift, Spark, SQL, Athena, S3, Druid event streams, AWS data pipeline)
What we have to offer:
  • 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 a personal trainer, various classes like Yoga with expert teachers & free of charge access to our EAP (Employee Assistance Program) to support your mental health and well-being
  • Activity Package: Regular team and company events, and hackathons.
  • Education Package: Opportunities to boost your professional development with courses and training directly connected to your career goals
  • Wealth building: virtual stock options for all our regular employees

Skip writing cover letters. Tell us about your most passionate personal project, your desired salary and your earliest possible start date. We are looking forward to your application

We welcome applications from people who will contribute to the diversity of our company.

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