Senior Marketing Scientist

Zeal Network; Hamburg; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading international e-commerce company in Hamburg seeks a Senior Marketing Scientist to optimize marketing performance through analytics. The role involves designing models, developing attribution frameworks, and translating complex data into actionable insights. Ideal candidates will have 4-6 years of experience in marketing analytics, proficiency in SQL and Python, and the ability to communicate findings to stakeholders. This position offers a dynamic culture, flexible work arrangements, and unlimited vacation days.

Leistungen

Annual development budget of €1,500

Unlimited vacation days

Monthly mobility allowance of €30

Company pension scheme

Subsidised gym membership

Quarterly company events

Qualifikationen

• 4–6 years of experience in marketing performance optimization.
• Hands-on experience with MMM and attribution.
• Experience in e‑commerce marketing practices.

Aufgaben

• Improve Marketing Mix Models to quantify marketing impact.
• Develop multi-touch attribution frameworks for marketing channels.
• Translate performance data into actionable insights.

Kenntnisse

Marketing analytics

Statistical modeling techniques

Advanced SQL skills

Fluency in Python or R

Communication of analytical outcomes

Tools

Google Analytics

Tableau

Redshift

Jobbeschreibung

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 are 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 300 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.

Role

As a Senior Marketing Scientist you will play a pivotal role in helping ZEAL understand, measure and optimize the performance of our marketing investments. You will combine hands‑on modeling expertise with strategic business acumen to deliver insights that drive better decisions, smarter spend and long‑term customer growth. With deep experience in Marketing Mix Modeling (MMM), attribution modeling and marketing analytics best practices you will act as the analytical partner within the Data team for teams across marketing, growth and finance – turning complex data into clear recommendations and business impact.

Responsibilities

• Design run and improve Marketing Mix Models to quantify the impact of marketing channels across ATL, digital and CRM.
• Lead development of multi‑touch attribution frameworks that go beyond last‑click, incorporating algorithmic probabilistic or rule‑based approaches.
• Partner with external vendors (e.g. Kantar Meta) and internal stakeholders to align measurement strategies and incrementality tests.
• Translate performance data into channel‑agnostic investment insights, helping guide media planning and budget allocation.
• Build clear trusted dashboards and reports that highlight the why, not just the what.
• Define and monitor key marketing and customer KPIs; identify trends, surface risks and recommend strategic responses.
• Collaborate closely with CRM, Performance Marketing, Finance and Analytics Engineering to ensure data quality, model accuracy and scalable implementation.
• Drive a culture of test‑and‑learn by supporting geo‑experiments, holdout designs and lift studies across campaigns and audiences.
• Contribute to ZEAL’s growing analytics maturity by sharing best practices, building reusable assets and mentoring other team members.

Qualifications

• A proven track record in marketing analytics in the e‑commerce space, with 4–6 years of experience in MMM, attribution and marketing performance optimization for customer acquisition.
• Hands‑on expertise with statistical modeling techniques (e.g. regression, Bayesian methods), causal inference and experimentation design.
• Advanced SQL skills and fluency in Python or R for data analysis and modeling.
• Familiarity with modern martech and analytics stacks (e.g. Redshift, Google Analytics, Tableau).
• Experience working across multiple marketing channels (search, social, brand, TV, CRM) and understanding their measurement challenges.
• Ability to communicate complex analytical outcomes to non‑technical audiences and influence senior stakeholders.
• Experience partnering with external measurement providers and internal engineering / data science teams.
• A collaborative mindset, proactive ownership and a passion for turning data into decisions.

Benefits

• 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 an annual development budget of €1,500.
• Trust and autonomy – no micromanagement, just confidence in your ability to deliver and excel.
• Flexible work options with a hybrid setup focused on results.
• Unlimited vacation days in addition to the yearly 30‑day allowance.
• Opportunity for workations abroad using our WorkFlex tool.
• Monthly mobility allowance of €30 that can be used for 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.
• Subsidised 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 along with regular team activities and informal gatherings (Healthy Tuesday lunches or Treat Thursdays in the office).

Employment Type: Full‑Time