Data Scientist - Marketing

BIP Portugal; Portugal; Presencial; EUR 45 000 - 75 000; Tempo integral

Resumo da oferta

BIP Portugal is seeking a Data Scientist specialized in Marketing to join our growing analytics team. You will design, build, and deploy advanced statistical models to support marketing decisions across investment, targeting, and customer engagement for leading clients, particularly in CPG environments.

You will translate modelling outputs into actionable recommendations that drive measurable business impact, collaborating with marketing, media, and finance stakeholders to ensure model relevance

Qualificações

• 3–5 years of experience in data science, marketing science, or advanced analytics.
• Solid foundation in statistical and machine learning modelling (regression, classification, time-series, causal inference)
• Proficiency in Python and SQL
• Hands‑on experience with Databricks (Spark/PySpark, Delta Lake, MLflow)
• Experience with operations research / optimization models in Python
• Experience working with CPG / consumer goods data
• Solid understanding of marketing dynamics in a CPG context (customer behavior, media channels, promotions, and sales drivers)

Responsabilidades

• Design, build, validate, and maintain marketing effectiveness models, including response modelling, attribution, and media/channel impact analysis
• Translate modelling outputs into budget allocation, ROI, targeting, and campaign optimization recommendations
• Calibrate, validate, and continuously improve model performance and robustness
• Work closely with business stakeholders (marketing, media, finance) to ensure model relevance and adoption
• Present complex analytical findings in a clear, structured, and business-oriented way

Conhecimentos

Python

SQL

Databricks

Spark/PySpark

MLflow

Marketing analytics

Time-series

Causal inference

Regression

Optimization models

CPG data

Ferramentas

Databricks platform

Delta Lake

MLflow

Descrição da oferta de emprego

Founded in 2003, BIP is a multinational consulting company that develops projects for the world’s leading companies and organizations. We combine a strategic approach with a “make it happen” mindset to support organizations on their transformation journey.

We are one of the fastest-growing consulting firms globally, with more than 6,000 people across 22 offices in 15 countries.

Within BIP, our xTech Center of Competence brings together experts in data, cloud, and AI to design and deliver next-generation analytics solutions. We work at the intersection of business and technology, translating complex data into actionable insights.

We strive for excellence in everything we do, guided by a collaborative, innovative, and entrepreneurial spirit. We are here to dare.

Job Description:

We are looking for a Data Scientist specialized in Marketing to join our growing analytics team.

In this role, you will design, build, and deploy advanced statistical models to support marketing decisions across investment, targeting, and customer engagement for leading clients, particularly in CPG / consumer goods environments.

You will play a key role in translating complex modelling outputs into clear, actionable recommendations that drive measurable business impact.

Key Responsibilities:

• Design, build, validate, and maintain marketing effectiveness models, including response modelling, attribution, and media/channel impact analysis
• Translate modelling outputs into budget allocation, ROI, targeting, and campaign optimization recommendations
• Calibrate, validate, and continuously improve model performance and robustness
• Work closely with business stakeholders (marketing, media, finance) to ensure model relevance and adoption
• Present complex analytical findings in a clear, structured, and business-oriented way

Required Skills & Experience:

• 3–5 years of experience in data science, marketing science, or advanced analytics
• Solid foundation in statistical and machine learning modelling (regression, classification, time‑series, causal inference)
• Proficiency in Python and SQL
• Hands‑on experience with Databricks (Spark/PySpark, Delta Lake, MLflow)
• Experience with operations research / optimization models in Python
• Experience working with CPG / consumer goods data
• Solid understanding of marketing dynamics in a CPG context (customer behavior, media channels, promotions, and sales drivers)

Nice to Have:

• Direct experience building Marketing Mix Models (MMM) (adstock, saturation, attribution), using tools such as PyMC or similar
• Strong background in statistical modelling (regression, time‑series, Bayesian methods, causal inference)
• Familiarity with media KPIs and digital attribution frameworks
• Experience with experimentation, incrementality measurement, and causal impact analysis