Data Scientist Manager (NLP & GenAI) - Consumer Insights

Our consumer intelligence platform transforms billions of data points into strategic insights for global brands such as Coca Cola, Unilever, and Bayer.

• 8+ years hands-on data science or machine learning experience focused on NLP and unstructured text.
• 3+ years managing data scientists including hiring, coaching, and career development.
• Expertise in consumer insights domain, preferably in CPG or FMCG, with understanding of brand equity, categories, benefits, and innovation funnels.
• Proficient in writing and reviewing code in Python, SQL, and PySpark.
• Experience with multilingual NLP production models: sentiment, emotion, classification, entity recognition/linking, topic modeling.
• 2+ years experience building LLMs in production including prompt engineering, fine-tuning, retrieval-augmented generation, structured outputs, evaluations, and cost/latency optimization.
• Strong statistical knowledge including sampling, bias, time series, validation, and experiment design.
• Effective communicator able to explain technical model behavior to marketing and brand management roles.
• Degree in Computer Science, Statistics, Mathematics, Econometrics, or related quantitative field; advanced degree a plus.

Nice to have:

• Experience with agentic systems or conversational analytics.
• Trend detection and forecasting using search and social signals.
• Speech-to-text and multimodal video analysis.
• Experience launching insights products in new industries such as sports, media, or retail.
• Product ownership and agile delivery experience.
• Publications, patents, conference talks, open-source work, or industry awards.
• Fluency in multiple languages.

• Own the data science roadmap with Product and Data Engineering, defining success metrics.
• Improve accuracy and precision of multilingual models including sentiment, emotion, classification, entity resolution, and summarization.
• Select appropriate models between frontier LLMs and open-weight models considering quality, latency, and cost.
• Develop next-generation predictive models and adapt products to new industries such as sports.
• Manage team coaching, performance, career development, and enforce code review standards.
• Define metrics, analysis playbooks, and golden questions for product evaluation with engineering.
• Present methodologies and findings as the company's consumer insights expert to enterprise clients.

Please be informed that the data controller is Kratos Growth (hereinafter "controller"). You have the right to request access to your personal data, their rectification, erasure or restriction of processing, the right to object to processing, as well as the right to data portability and to lodge a complaint to the supervisory authority. Personal data will be processed for the purpose of the recruitment process. Provision of data to the extent resulting from the Act of 26 June 1974 Labour Code is mandatory. In the remaining scope, providing data is voluntary. Refusal to provide mandatory data may result in the impossibility to carry out the recruitment process. The Administrator processes mandatory data on the basis of a legal obligation incumbent upon him/her, while with regard to additional data, the basis for processing is consent. Personal data will be processed until the recruitment procedure is completed and for the period of the possibility of asserting potential claims, and in the case of consent to participate in future recruitment procedures - until the withdrawal of such consent. Consent to the processing of personal data can be withdrawn at any time. The recipient of the data is the Just Join IT service and other entities to whom we have entrusted the processing of data in connection with recruitment.