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lavori da Wissenschaftlicher Mitarbeiter in località United States

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Staff Data Scientist

Sii tra i primi a mandare la candidatura.
Almedia
Berlino
EUR 70.000 - 100.000
Sii tra i primi a mandare la candidatura.
Ieri
Descrizione del lavoro

Almedia is the fastest-growing advertising company in Europe according to the FT1000, offering mobile game and app developers unparalleled returns from rewarded user acquisition. We are engineering the future of UA with our data-driven approach and community of over 40 million users engaging with games, apps, and surveys.

Based in the heart of Berlin, our collaborative approach offers the opportunity for our clients to acquire 10,000 users daily, providing consistent value and improved ROAS in the short and long term.

We’re looking for a Staff Data Scientist to join our growing team in Berlin and help shape the next stage of our product and data capabilities.


This is a high-impact role where you’ll combine hands-on modelling with cross-functional leadership to improve how we understand users, optimise incentives, and build the foundations of scalable, data-informed decision making.

What You’ll Work On
  • Design and implementation of machine learning models which personalise recommendations for users, whilst optimising for performance, engagement and conversion within gaming user acquisition

  • Build and optimise our incentives reward structures focusing on motivating and retaining users whilst improving in-app ROAS.

  • Collaborate with data analytics and engineering to improve data structures, visibility, and traceability

  • Establish technical best practices for the team, including documentation, data product ownership, measurement plans, and experimentation frameworks

  • Define and help implement KPIs that align team output with business goals, ensuring every model, dashboard, and analysis has a clear purpose and outcome

  • Mentor and support both data scientists and analytics engineers, driving high standards and helping the team scale effectively

What We’re Looking For
  • Strong experience building and deploying machine learning models in a product-driven environment, ideally in Gaming, AdTech, gambling or user-incentive systems

  • Deep statistical and modelling knowledge for complex experimentation design, uplift modelling and causal impact estimation of counterfactual outcomes.

  • Strong understanding of data engineering workflows and modern data stack tools (e.g. DBT, Airflow, K8s)

  • Proficiency in Python and SQL; experience with cloud platforms (GCP preferred) and Terraform

  • Excellent communication and leadership skills, with the ability to drive clarity, create structure, and bring stakeholders on board

Why Almedia?
  • Become an owner: As part of our virtual equity option policy, you’ll have the opportunity to share in Almedia’s success and growth.

  • Innovative and high-growth: Join a startup that has been profitable from day one and is rapidly scaling its impact in the Ad-Tech space.

  • Berlin Office & Collaborative Hub: Work primarily from our modern, centrally located Berlin office, designed to foster strong collaboration, team connection, and organic growth as we build together.

  • Other Benefits: Enjoy a range of benefits designed to support your well-being and growth, including weekly breakfast and lunch at the office, a public transport ticket, gym membership, language classes, and with more exciting additions on the horizon.

We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth—whether you aspire to be a future leader or a specialist. Almedia is an equal opportunity employer; we embrace and celebrate diversity, encouraging individuals from all backgrounds to apply.

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* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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