Senior Marketing Data Scientist

Brazil / Portugal / Worldwide - Remote (within locations)

As a Senior Data Scientist in Marketing, you'll thrive in an agile, fast-moving environment, helping direct substantial marketing spend towards growth.

You'll refine methodologies for ROI in a privacy-led context and decode performance across a competitive landscape.

You'll shape marketing and commercial decisions end-to-end, with real autonomy and a fixation on measurable business outcomes.

We are looking for candidates who are as excited about pushing their own development as they are about advancing our technology stack.

Our core developers are passionate about software engineering and enjoy developing their skills and abilities in a friendly and supportive environment of keen learners.

WHAT WILL YOU BE DOING :

As part of an agile software development team, you will :

Own the design and rollout of advanced marketing effectiveness measurement, covering marketing mix modelling (MMM), incrementally / causal-lift testing, and geo-based experiments.

Produce actionable insights that guide both strategic choices and day-to-day optimisation across multiple channels.

Partner with marketing, finance and commercial teams to steer the allocation of substantial budgets and maximise impact in a competitive market.

Innovate new approaches to measuring ROI and attribution in a privacy-conscious environment.

Translate complex analyses into clear, decision ready recommendations for senior stakeholders.

Mentor and support other data scientists and analysts in developing advanced experimentation and modelling skills.

WHAT WE ARE LOOKING FOR :

3+ years in data science / analytics, with 2+ years focused on marketing effectiveness.

Hands-on experience building and validating MMM (e.g., adstock / saturation, regularisation / priors, holdouts / back-tests).

Practical expertise with incrementality / causal-lift testing and geo-experimentation (e.g., DiD, synthetic control, matched markets).

Strong Python and SQL; comfort with common stats / ML libraries (e.g., pandas, NumPy, scikit-learn, statsmodels, PyMC or similar).

Proven ability to translate model outputs into budget recommendations, channel mix and ROI / elasticity insights.

Solid experiment design skills (power, sample sizing, guardrails, success criteria) and interpreting noisy real-world data.

Experience working with multi-channel marketing data (search, social, display, affiliates, TV / OOH, CRM / app).

Ability to present complex results simply to senior non-technical audiences and influence decisions.

Bachelor's degree in a relevant field is required.

Strong verbal and written English communication skills

Analytical and problem-solving skills

Ability to work independently as well as in a team-oriented environment

NICE TO HAVE :

Familiarity with open-source or in-house MMM frameworks (e.g., Robyn, LightweightMMM) and Bayesian methods.

BI & visualisation (Looker, Tableau, Power BI) and building self-serve dashboards.

Cloud data stacks (BigQuery / Snowflake / Redshift), orchestration (Airflow / DBT), and basic MLOps.

A / B testing platforms and marketing tools (GA4, campaign managers, CDPs)

Mentoring experience and / or leading a small analytics / modelling team.

WHAT'S IN IT FOR YOU?

Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture

A culture in which we don't criticise failure but ensure we learn from our mistakes

An Agile environment where your ideas are welcome

The possibility to grow and experience different projects

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