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- Aufgaben: Lead the Playtime Team in data science projects and manage team dynamics.
- Arbeitgeber: Join Applike Group, a dynamic company focused on innovative tech solutions.
- Mitarbeitervorteile: Enjoy a collaborative work environment with opportunities for growth and development.
- Warum dieser Job: Make an impact by solving real business problems with your data science expertise.
- Gewünschte Qualifikationen: Experience in team management and proficiency in Python, R, or similar languages required.
- Andere Informationen: Ideal for those passionate about leading teams and driving data-driven decisions.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
This is a job posted by our partner Jooble.
Qualifications:
- You have experience in managing people, such as hiring, doing regular 1-1s, creating career plans, and doing pair programming, among other tasks.
- You have a strong knowledge of Python, R, Scala , Julia, or similar programming languages for Data Science.
- You have the ability to understand business needs and build solutions.
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Data Science Lead (Playtime Team) in Germany - applike group Arbeitgeber: WorksHub
Kontaktperson:
WorksHub HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Science Lead (Playtime Team) in Germany - applike group
✨Tip Number 1
Make sure to showcase your leadership experience in managing teams. Highlight specific instances where you've successfully hired, conducted 1-1s, or developed career plans for your team members.
✨Tip Number 2
Demonstrate your technical expertise by discussing projects where you've utilized Python, R, Scala, or Julia. Be prepared to explain how you applied these languages to solve real business problems.
✨Tip Number 3
Familiarize yourself with the Playtime Team's current projects and challenges. This will help you articulate how your skills can directly address their business needs during discussions.
✨Tip Number 4
Network with current or former employees of the applike group. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Science Lead (Playtime Team) in Germany - applike group
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Science Lead position. Understand the key responsibilities and qualifications required, especially around managing people and technical skills in programming languages.
Highlight Relevant Experience: In your application, emphasize your experience in managing teams, conducting 1-1s, and creating career plans. Provide specific examples that showcase your leadership skills and technical expertise in Python, R, Scala, or Julia.
Tailor Your CV: Customize your CV to align with the job requirements. Focus on your data science projects, management experience, and any relevant achievements that demonstrate your ability to understand business needs and build effective solutions.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your enthusiasm for the role. Mention why you are interested in working with the Playtime Team at applike group and how you can contribute to their success.
Wie du dich auf ein Vorstellungsgespräch bei WorksHub vorbereitest
✨Showcase Your Leadership Experience
Be prepared to discuss your experience in managing teams. Highlight specific examples of how you've conducted hiring processes, held regular 1-1s, and created career development plans for your team members.
✨Demonstrate Technical Proficiency
Make sure to brush up on your knowledge of Python, R, Scala, or Julia. Be ready to discuss projects where you utilized these languages and how they contributed to solving business problems.
✨Understand Business Needs
Prepare to explain how you identify and understand business needs. Think of examples where you successfully built data-driven solutions that aligned with business objectives.
✨Engage in Pair Programming Scenarios
Since pair programming is mentioned, be ready to discuss your approach to collaborative coding. You might even want to practice a mock pair programming session to demonstrate your skills and teamwork.
