обновлено 9 дней назад
AI Expert (GenAI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Expert (GenAI) (consumer appliances and opportunity discovery): Building analytics capabilities, predictive and causal models, experiments, and GenAI-enabled tools that turn mixed-source consumer and market data into quantified innovation opportunities and business cases with an accent on causal inference, experimentation, and unstructured-data analysis. Focus on designing decision-ready evidence, modeling demand and adoption scenarios, and productionizing Python and SQL data workflows for early-stage R&D and investment decisions.
Location: Netherlands; balanced office-based working with flexibility to work from home based on team needs and individual circumstances
Company
develops home appliances and connected home-living products under the Philips brand and other brands, with a global team of 6,000+ people.
What you will do
- Build opportunity-discovery analytics for a global home-appliances portfolio using consumer, usage, market, review, e-commerce, social, research, and telemetry data.
- Identify unmet needs, behaviors, trends, disruption signals, and quantified innovation opportunities through segmentation, cohorts, journeys, and JTBD analyses.
- Develop predictive, causal, scenario, portfolio, and GenAI/LLM models for adoption, churn, latent needs, simulations, and decision-making.
- Design experiments including A/B, multivariate, conjoint, and MVP tests, then translate findings into opportunity narratives and quantitative business cases.
- Build lightweight self-serve analytics tools, GenAI-enabled apps, and productionized Python, SQL, and orchestration workflows.
- Partner with research, technical, commercial, marketing, product, and concept teams to communicate evidence-based insights to technical and business audiences.
Requirements
- Master’s or PhD in Data Science, Statistics, Econometrics, Computer Science, Applied Mathematics, or a related field, or equivalent experience.
- 5–8+ years of applied data science experience in innovation, product, growth, or research.
- Strong machine learning, statistics, experimentation, time-series, survival, propensity, and conjoint-analysis skills.
- Hands-on causal inference experience with Difference-in-Differences, synthetic controls, instrumental variables, causal graphs, or uplift modeling.
- Strong Python/PySpark and SQL skills, with experience building APIs, Streamlit, FastAPI, or similar data applications.
- Experience with unstructured data, GenAI/LLMs, BI or visualization, business cases, and insight storytelling.
Nice to have
- Experience in appliances, consumer electronics, connected products, FMCG innovation, behavioral science, product strategy, or growth analytics.
- Experience delivering quantified opportunity spaces or business cases adopted by leadership.
Culture & Benefits
- Performance-based annual incentive program and internationally competitive base salary.
- Top-of-the-market pension plan with the option for higher employee contributions.
- Work-from-home and phone allowances.
- Up to 30 days per year of work from abroad.
- Holiday policy with care days, enhanced maternity and paternity leave, and an option to purchase additional leave days.
- Health insurance, product discounts, learning and career development opportunities, and an inclusive international working culture.
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