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Lead Data Scientist - FREIHEIT+ (f/m/d)

ZEAL Network SE is a dynamic, international group of companies that has been creating exciting and innovative lottery experiences for over 20 years. As Germany’s largest provider of online lotteries through our brands LOTTO24 and Tipp24, and a trusted partner of Spain’s ONCE, the second-largest national lottery, we’re shaping the future of the lottery industry. We are passionate about driving innovation, as demonstrated by our newest brands, Freiheit+ and Traumhausverlosung, which bring fresh and exciting dreams to life. Additionally, through ZEAL Ventures, we invest in inspiring e-commerce start-ups like Omaze and DAYMADE, fueling fresh ideas and opportunities.

Our team of 250+ professionals from diverse backgrounds is united by a visionary mindset, a passion for collaboration, and a commitment to inspire dreams. At ZEAL, we empower our people to think ambitiously and work together toward a shared purpose: helping people imagine and achieve their aspirations.

freiheit+ is a corporate start-up in Hamburg and part of the listed ZEAL Network SE. We are building a social lottery that provides extra freedom. 20% of our sales go directly to the license holder BildungsChancen gGmbH. This supports initiatives such as SOS Kinderdörfer worldwide, the German Children and Youth Foundation and the Stifterverband. As a young in-house start-up team, we at freiheit+ work in an agile manner and are open to innovation. 

Your tasks:

  • Drive and develop a data culture in a start-up situation, delivering analyses, but also checking for data consistency and uncover patterns that drive insights and growth.

  • Support the Team Lead and mentor Data Scientists, ensuring code reviews, enforcing tooling, and introducing new Data Science techniques and ways of working.

  • Identify and refine strategic projects, working with the Team Lead to define scope and deliverables and prioritize work in a dynamic, evolving environment.

  • Own high-value projects, break them into tasks, onboard the team, and ensure outcomes and stakeholder communication, adjusting quickly to changing needs.

  • Build relationships with cross-functional teams and stakeholders and communicate insights to leadership.

  • Ensure sustainability of projects through documentation, knowledge sharing, and code access, ensuring scalability in a fast-paced setting.

  • Collaborate with other Data teams and facilitate timely involvement in requirements.

  • Experiment with ML for analytics and conduct A/B testing for actionable insights.

What you offer us: 

  • Experience in providing agile data solutions in a start-up environment

  • You can perform complex analyses, including A/B tests, in either Python or R.

  • Experience in some of the following: personalization, Google Analytics, SQL, Shiny Server, Tableau and MS Automate.

  • Experience managing data projects, gathering requirements, and ensuring delivery.

  • First leadership experience in Data Science, including mentoring and coordination would be a plus.

  • Knowledge of project sustainability, documentation, and code accessibility.

  • You are able to find pragmatic solutions and adapt to change quickly.

  • Familiarity with agile environments, e-commerce metrics, and/or cohort analysis.

  • You enjoy expanding your Data Science, ML and programming toolsets, bringing new knowledge into the team.

  • Excellent communication and collaboration skills in English.

What we offer:

  • State-of-the-art technologies and an agile environment (Check our Tech Radar: https://lotto24.github.io/tech-radar/)

  • A modern, dynamic culture grounded in the success of a leading-edge e-commerce company.

  • A talented team of ambitious, like-minded colleagues where your knowledge and ideas truly make an impact.

  • Ongoing personal growth, supported by our product-focused organization and an annual development budget of €1,500 to invest in your professional development.

  • Trust and autonomy, no micromanagement, just confidence in your ability to deliver and excel.

  • Flexible work options with a hybrid setup focused on results, offering the freedom to work where and how you’re most productive.

  • Generous time off: enjoy unlimited vacation days in addition to your 30-day vacation allowance, with the opportunity for workations abroad using our WorkFlex tool.

  • Monthly mobility allowance of €20 to use on the mobility option of your choice (e.g., the Deutschlandticket), plus access to a company bike leasing program.

  • Company pension scheme, provided in partnership with Degura, to support your future financial security.

  • Subsidized EGYM WELLPASS membership, with a contribution of only €25 per month, giving you access to a wide range of gyms and sports options across Germany.

  • Quarterly company events where we gather to celebrate, along with regular team activities and informal gathering, a favorite being our Healthy Tuesday lunches or Pizza Thursdays in the office!

Not ticking every box or think you’ve got that unique set of skills we haven’t realised we need? Get in touch anyway; we’re always looking to add great people!

Average salary estimate

$70000 / YEARLY (est.)
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$60000K
$80000K

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What You Should Know About Lead Data Scientist - FREIHEIT+ (f/m/d), Zeal Network

Are you ready to step into a transformative role as a Lead Data Scientist at FREIHEIT+? Here at ZEAL Network SE, based in Hamburg, we’re on an exciting journey to revolutionize the lottery industry with innovative concepts that inspire dreams. As Germany's largest provider of online lotteries, we thrive on shaping the next generation of lottery experiences. In this dynamic environment, your mission will be to instill a robust data culture within our start-up team. You’ll not only drive meaningful analyses but also uncover patterns that fuel growth and insights. Supporting the Team Lead, you’ll mentor fellow Data Scientists, ensuring best practices like code reviews and introducing new methodologies. Your strategic insight will help refine our projects, breaking them down into actionable tasks while engaging cross-functional teams to communicate findings that matter. We value sustainability, so documentation and knowledge sharing will be key in ensuring your projects can thrive even in a fast-paced setting. Plus, your love for Machine Learning and A/B testing will truly come to life as you collaborate with other data teams to leverage their expertise. At FREIHEIT+, you’ll find a modern culture that champions innovation and personal development, where your ideas and skills will flourish alongside a talented group of like-minded individuals. If you’re excited about transforming data into actionable insights, then join us at FREIHEIT+ to help people turn their aspirations into reality!

Frequently Asked Questions (FAQs) for Lead Data Scientist - FREIHEIT+ (f/m/d) Role at Zeal Network
What are the main responsibilities of a Lead Data Scientist at FREIHEIT+?

As a Lead Data Scientist at FREIHEIT+, your primary responsibilities will include driving and developing a data culture within the start-up environment, performing complex analyses, managing data projects, mentoring junior Data Scientists, and ensuring project sustainability through meticulous documentation and communication of insights to stakeholders. You'll be expected to collaborate with cross-functional teams and experiment with machine learning and A/B testing to generate actionable insights.

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What qualifications are needed for the Lead Data Scientist position at FREIHEIT+?

To qualify for the Lead Data Scientist position at FREIHEIT+, you should possess experience in providing agile data solutions, expertise in performing complex analyses using Python or R, and familiarity with tools like SQL, Google Analytics, and Tableau. Leadership experience in Data Science is a plus, as is knowledge of project sustainability and documentation practices. Excellent communication skills in English are also essential.

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What kind of projects will a Lead Data Scientist work on at FREIHEIT+?

In your role as Lead Data Scientist at FREIHEIT+, you will work on high-value projects that require refining strategic initiatives. You'll define project scopes, break tasks down for team onboarding, and adjust quickly to changing project needs while keeping stakeholders updated throughout. Your experiments with machine learning and A/B testing will also contribute to making data-driven decisions for the company.

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How is the work culture at FREIHEIT+ for a Lead Data Scientist?

The work culture at FREIHEIT+ is modern and dynamic, emphasizing collaboration, innovation, and personal growth. With opportunities for professional development and flexibility in work arrangements, the team is encouraged to bring new ideas and knowledge into the mix. You can look forward to a supportive atmosphere that values your input and contributions to help shape the future of the online lottery industry.

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What benefits does FREIHEIT+ offer to its Lead Data Scientists?

At FREIHEIT+, we offer a range of benefits including unlimited vacation days, flexible work options, ongoing professional development support, and a monthly mobility allowance. You'll also enjoy a company pension scheme, subsidized gym memberships, and regular team-building activities. We’re committed to ensuring you have both the resources and the environment to thrive in your role.

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Common Interview Questions for Lead Data Scientist - FREIHEIT+ (f/m/d)
Can you describe a successful data project you've led?

Be prepared to walk us through a specific data project, highlighting your role in defining the project scope, gathering requirements, and ensuring successful delivery. Emphasize the methodologies used, any challenges faced, and how you overcame them to achieve targeted outcomes.

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What is your approach to mentoring junior Data Scientists?

When discussing your mentoring approach, emphasize the importance of guidance through code reviews, fostering a collaborative environment, and introducing new tools and techniques. Share your experiences where mentorship had a positive impact on team performance or project success.

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How do you ensure data consistency across projects?

In your answer, highlight the practices you implement to maintain data integrity, such as documentation and regular checking against data sources. Discuss how you facilitate knowledge sharing among team members to ensure everyone is aligned in data handling procedures.

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What techniques do you use for A/B testing?

Discuss your preferred methodologies for designing and executing A/B tests, such as clearly defining objectives, selecting appropriate metrics for evaluation, and using analytical tools. Provide examples of how your A/B tests have led to significant insights or changes in projects.

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How do you prioritize tasks in a dynamic work environment?

Demonstrate your ability to prioritize by discussing strategies like assessing project impact, stakeholder needs, and deadlines. Share an example of a time you effectively managed competing priorities and how you communicated with your team to adjust expectations accordingly.

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What machine learning algorithms are you most familiar with?

When answering, share your experience with specific algorithms, detailing when and why you've used them in the past. Discuss how you stay updated with the latest developments in machine learning and how you implement those learnings into your work.

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How do you handle stakeholder communication in data projects?

Emphasize the importance of clear and effective communication in managing stakeholder relationships. Provide examples of how you've articulated complex data findings to non-technical audiences and how those insights influenced project outcomes.

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What tools and software do you prefer for data analysis?

List your preferred tools and briefly explain why you favor them for data analysis tasks. Discuss the strengths of these tools in supporting your work and how they have contributed to your success in previous projects.

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Can you give an example of a time you adapted quickly to a significant change in a project?

Share a specific instance, emphasizing your adaptability and problem-solving skills. Discuss how you assessed the situation, determined necessary adjustments, and led your team through the transition while maintaining project goals.

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What interests you about the role of Lead Data Scientist at FREIHEIT+?

Express your enthusiasm for the opportunity and tie your interests back to the innovative culture and mission at FREIHEIT+. Discuss how this aligns with your professional goals and previous experiences in data science, highlighting your passion for making impactful contributions.

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DATE POSTED
December 24, 2024

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