About the role

Data Scientist at Pelmorex enhancing data-driven decision-making for B2C and Adtech initiatives. Developing advanced models to optimize user experience and advertising performance.

Responsibilities

B2C & Adtech Optimization: Design and implement machine learning models to improve customer acquisition, retention, and lifetime value. Optimize ad delivery algorithms and attribution modeling to maximize ROI in the Adtech space.
Cross-Functional Collaboration: Partner with Product, Marketing, and Engineering teams to define key performance indicators (KPIs) and deliver data products that solve real-world business problems.
Advanced Analytics: Conduct end-to-end analysis, including data collection, cleaning, exploratory data analysis, and visualization. Translate technical findings into compelling narratives for non-technical stakeholders.
B2B Support: Provide analytical support for B2B initiatives, focusing on lead scoring, churn prediction, and market segmentation as needed.
Strategic Reporting: Maintain a close reporting line with the Director to ensure technical roadmaps are executed efficiently and insights are integrated into the broader FY26 data strategy.

Degree in one of the STEM disciplines (preferably Master’s or PhD in Data Science, Statistics, Computer Science, or a related quantitative field but not required)
3+ years of experience in data science, specifically within B2C or Adtech environments.
Expertise in Python or R, and advanced proficiency in BigQuery for data extraction and manipulation.
Hands-on experience with Scikit-learn, TensorFlow, Numpy, Scipy or PyTorch.
Strong understanding of digital advertising metrics (CPM, CPC, ROAS) and consumer behavior modeling.
Experience with distributed computing environments (spark for example)
Skills in graphical data visualization (Matplotlib or similar)
Strong communication skills, including the ability to explain complex ideas to an audience with a non-technical background