Job Description

We are looking for a Senior Data Scientist to join Growth Analytics in a hands‑on role focused on understanding the true value of Performance Marketing. You will design and run incrementality tests and translate model and experiment outputs into clear, commercial insight the business can act on, helping the organisation distinguish correlation from causality and quantify the real impact of marketing investment.

Responsibilities

- Connecting measurement outcomes to business value: Go beyond uncovering insights to ensure findings drive tangible, measurable impact on top‑line financials.
- Execute Incrementality Measurement: Own complex measurement workstreams end‑to‑end, from scoping through analysis and readout, applying sound statistical and experimental methods to assess channel impact, incrementality, and the business contribution of media investment.
- Operationalise Measurement & Build Frameworks: Develop scalable, reusable analytical frameworks and convert experimental outcomes into calibration inputs and practical decision‑making tools.
- Bridge Business and Technical Questions: Translate business questions into measurement plans, analytical requirements, and test designs that are both statistically credible and operationally realistic.
- Contribute to the Measurement Roadmap: Provide informed opinions on how measurement approaches should evolve, identify gaps or risks, and propose practical improvements.
- Communicate with Clarity: Explain assumptions, trade‑offs, confidence levels, and limitations to both technical and non‑technical audiences.

Key Skills

- Education: Master’s or PhD in Statistics, Economics, Data Science, Mathematics, Computer Science, or a related field, or equivalent practical experience.
- Experience: Strong hands‑on experience in measurement, marketing science, experimentation, data science, or analytics,



with a track record of delivering business‑relevant insights from complex data.
- Measurement Expertise: Deep understanding of causal inference, experimentation, statistical modelling, and media measurement; practical experience with MMMs, PSA methods, GeoLift, holdout tests, or similar frameworks.
- Execution: Able to independently structure ambiguous analytical problems, manage dependencies, and deliver high‑quality outputs with consistency and attention to detail.
- Commercial Mindset: Ability to connect analytical results to business decisions, investment trade‑offs, and financial reality.
- Technical Skills: Strong command of Python or R, SQL, and analytical workflows needed to support rigorous, reproducible measurement and modelling.
- Communication: Excellent ability to explain complex methods and uncertain results in clear, pragmatic language tailored to different audiences.
- Judgement: Sound judgement in ambiguous situations, including when to apply advanced methods, simplify, challenge assumptions, or raise risks.

Bonus Points

- Experience working directly with media buying teams or growth marketing organisations.
- Experience contributing to the development of repeatable measurement approaches used in planning or optimisation.
- Familiarity with digital advertising measurement challenges such as attribution bias, selection effects, incrementality gaps, and platform limitations.
- Experience with BigQuery, Looker, Airflow, or similar data ecosystems.
- Passion for gaming and a track record of using data to improve commercial decision‑making.

About King

With a mission of Making the World Playful, King is a leading interactive entertainment company for the mobile world. King games are played by more than 200 million monthly active users and include the world‑famous Candy Crush franchise and Farm Heroes Saga. King, part of Microsoft (NASDAQ: MSFT), has offices in Stockholm, Malmö, London, Barcelona, Berlin, Dublin, San Francisco, New York, Los Angeles and Malta.

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📌 Senior Data Scientist | Product Marketing, Growth Analytics (Barcelona)
🏢 King
📍 Barcelona