Thursday, October 30, 2025

Job Description

Dignify focuses on everything that deals with artificial intelligence (AI) and machine learning, specifically in a marketing context. We bring data scientists and engineers with deep technical expertise together with marketeers, growth hackers, and marketing automation experts from our sister companies of the Customer Collective.Together we bridge the entire value chain: we make sure we create value with intelligent use of customer data: from organizing the data to executing marketing campaigns and measuring incremental revenues.Our customers want to use data science in their marketing and sales operations, and we support them by all means. Our drive is to create impact with quantitative solutions.What you'll do:Get excited when receiving a new dataset with millions of behavioral recordsThrive on uncovering hidden insights, testing hypotheses, and drawing meaningful conclusionsSimplify complex data into actionable customer segments, providing clear starting points for smart marketing campaignsSupport colleagues with valuable insights, track campaign results, and refine segments by improving prediction modelsDesign experimental frameworks for marketing teams and closely monitor their impactSkills required:Analytical profile: excellent problem-solving skills with the ability to analyze complex data and generate actionable insights.Statistical expertiseStrong business acumenProficiency in programming languages such as Python, RExcellent communication and presentation skillsTeam Player: Ability to work effectively in a collaborative, fast-paced environmentSkills desired:Statistical expertiseExperience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).Strong understanding of Retrieval-Augmented Generation techniques.Expertise in data preprocessing, feature engineering, and data augmentation.Familiarity with database management and querying (e.g., SQL, NoSQL).Knowledge of cloud computing platforms (e.g., AWS, Google Cloud, Azure) and containerization (e.g., Docker, Kubernetes) is a plus.Your profileMaster Degree or equivalent in engineering, quantitative science, ITcurious, open-minded, eager to learn and figure things out, and OK with being proven wrongCustomer and results orientatedEuropean work permit requiredWhat you'll enjoy @ Dignify:Being surrounded by experienced professionals eager to support your growthBecome a key player in a growing company, where your contributions make a real impact.Immersing yourself in a vibrant and fun workplaceExplore exciting career growth opportunitiesAn attractive and competitive salary packageParticipate in periodic training sessions to stay ahead in your expertiseWorking with interesting and well known companies within the retail, publishing, travel and healthcare industriesBring challenging & innovative projects to life, gaining visibility & recognition

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