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AI Expert (GenAI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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