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 records.
* Thrive on uncovering hidden insights, testing hypotheses, and drawing meaningful conclusions.
* Simplify complex data into actionable customer segments, providing clear starting points for smart marketing campaigns.
* Support colleagues with valuable insights, track campaign results, and refine segments by improving prediction models.
* Design experimental frameworks for marketing teams and closely monitor their impact.
Skills required:
* Analytical profile: excellent problem-solving skills with the ability to analyze complex data and generate actionable insights.
* Statistical expertise.
* Strong business acumen.
* Proficiency in programming languages such as Python and R.
* Excellent communication and presentation skills.
* Team Player: Ability to work effectively in a collaborative, fast-paced environment.
Skills desired:
* Experience 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 profile:
* Master's Degree or equivalent in engineering, quantitative science, or IT.
* Curious, open-minded, eager to learn and figure things out, and OK with being proven wrong.
* Customer and results oriented.
* European work permit required.
What you'll enjoy @ Dignify:
* Being surrounded by experienced professionals eager to support your growth.
* Become a key player in a growing company, where your contributions make a real impact.
* Immersing yourself in a vibrant and fun workplace.
* Explore exciting career growth opportunities.
* An attractive and competitive salary package.
* Participate in periodic training sessions to stay ahead in your expertise.
* Working with interesting and well-known companies within the retail, publishing, travel, and healthcare industries.
* Bring challenging & innovative projects to life, gaining visibility & recognition.
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