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. We are hiring a Data Scientist Manager (NLP & GenAI - Consumer Insights) to join our team. The RoleYoull manage a Data Science team: the data scientists who build the multilingual NLP, machine learning and GenAI models behind our products. Youll set technical direction, grow and mentor the team, and stay a strong individual contributor who writes code, reviews models and gets into the data. Expect to spend around half your time hands-on. Youll also be part of our in-house consumer insights experts team. You know how an insights director, a brand manager or an R D lead makes decisions, and you make sure our models answer the questions that matter to them, with accuracy they can defend to their own leadership. Youll work closely with Product, Data Engineering, and engineering teams. Our team is spread across the US, Europe, and India, so youll need regular working-hours overlap across those time zones. What youll doOwn the data science roadmap with Product and Data Engineering, with clear success metrics for every piece of work. Raise the accuracy and precision of our core multilingual models (sentiment, emotion, classification, entity resolution, summarization) and build the evaluation that proves it. Choose the right model for each job across frontier LLMs and open-weight models, balancing quality, latency and cost at scale. Build next-generation predictive models, such as the evolution of our Future Ranking Factor for trends, and adapt our products to new industries such as sports. Manage the team: coaching, performance and career development, with clear standards for code review and evaluation. Define the metrics, analysis playbooks and golden questions that our products are measured against, in partnership with the engineering team. Be the companys consumer insights expert, and present methodology and findings to enterprise clients.What Youll Work WithCore Stack: Python, SQL, PySparkPlatform: Azure and Databricks (Spark, Delta Lake, Unity Catalog)GenAI: OpenAI, Gemini and Anthropic models; open-weight models such as Gemma 4; Hugging Face transformers; embeddings; LangChain and other agent frameworksAI/ML: Sentiment analysis, emotion detection, LLMs, GenAI, prompt engineeringWhat Were Looking For8+ years of hands-on data science or machine learning, solving real business problems, with a strong focus on NLP and unstructured text.3+ years managing data scientists as direct reports: hiring, coaching, performance and career development. Consumer insights domain expertise, ideally in CPG or FMCG, whether gained in-house, at a research agency, or at a consumer data or social listening company. Youre fluent in brand equity, category and benefit frameworks, the innovation funnel and how insights teams make decisions. Still hands-on: expert Python and SQL, strong PySpark, and code youd be happy to have reviewed. A track record of multilingual NLP models running in production at scale: sentiment, emotion, classification, entity recognition and linking, topic modeling.2+ years building with LLMs in production: prompt engineering, retrieval-augmented generation, fine-tuning, structured outputs, evaluation, and cost and latency optimization. Strong statistical foundations: sampling and bias in social data, time series, validation against ground truth and experiment design. You can defend a methodology to a skeptical research director. A clear communicator and storyteller who can explain model behavior to a CMO, and precision and recall to a brand manager. A degree in Computer Science, Statistics, Mathematics, Econometrics or a related quantitative field. A masters or PhD is a plus. Nice to haveExperience with agentic systems or conversational analytics (chat with your data), enough to shape how an AI agent reasons over insights data. Trend detection and forecasting from search and social signals, back-tested against sales or market data. Speech-to-text and multimodal analysis of short-form video. Taking an insights product into a new industry, such as sports, media or retail. Product ownership experience and agile delivery. Publications, patents, conference talks, open-source work or industry awards. Fluency in more than one language. What We OfferGlobal remote work: No physical officeOwnership & impact: Build models that power products used by Fortune 500 clientsCompetitive compensation: Creative short and long-term packages designed to create wealth as we growCutting-edge problems: Real-world challenges with the latest GenAI, LLMs, and NLP technologiesDirect business impact: Your models will influence brand measurement and product innovation strategies Autonomy: We trust you to deliver exceptional work on your terms