Marketing Data Scientist

Why this role matters:

We are looking for a Marketing Data Scientist to synchronize our data intelligence with our strategic vision. You will play a pivotal role in refining our decision-making through advanced predictive analytics and  translating complex insights into a roadmap for growth. Your work will ensure we are not reacting to the market, but proactively shaping customer engagement through the power of data science.

Your key responsibilities:

• Liaise with the data warehousing team to define and activate data set requirements.
• Collaborate with data engineers to automate data collection and cleaning from various sources, including new ones.
• Identify and correct data irregularities.
• Synthesize disparate data sets to focus on predictive insights and repeatable success.
• Build and deploy predictive models to inform growth strategies.
• Apply machine learning models to anticipate consumer behavior.
• Inform Marketing Mix Models (MMM) to reallocate budget for higher ROI.
• Influence change across the organization by translating complex model outputs into 'business-speak'.

What you’ll bring:

• Strong business acumen with the ability to connect analytical findings to strategic marketing and financial objectives.
• Proven ability to influence executive and cross-functional stakeholders to drive data-led change.
• Exceptional leadership and communication skills.
• A creative and rigorous approach to problem-solving, capable of navigating and integrating complex, multi-source data environments.
• A proven self-starter capable of thriving in a fast-paced environment and independently developing innovative approaches when faced with ambiguous data or technical challenges.

What is Required:

• Proven experience in building, deploying, and monitoring predictive models to inform growth strategies and revenue optimization.
• Deep expertise in using machine learning techniques to anticipate and model complex consumer behavior and journey analysis.
• Familiarity with informing and leveraging Marketing Mix Models (MMM) to reallocate marketing budgets for higher ROI
• Advanced proficiency in data manipulation and modeling languages (e.g., Python, R, SQL).
• Proficiency with data visualization tools (Tableau, Power BI or similar)
• Min 8+ years of related experience

What we consider a plus:

• Experience in a B2B setting
• Experience with customer lifetime value modeling
• Working knowledge of digital marketing platforms and their underlying data structures
• Advanced degree (Master's or PhD) in a quantitative field such as Computer Science, Statistics, or Economics.

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