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Senior Decision Scientist, Pricing & Forecasting - FREELANCER

Job in 1000, Amsterdam, North Holland, Netherlands
Listing for: Amsterdam Data Collective
Contract position
Listed on 2026-05-03
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, AI Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 EUR Yearly EUR 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Who we are

ADC is a European data and AI consultancy with offices in the Netherlands, Sweden, and Denmark. We help organisations turn data and AI into real impact, leading a mission to accelerate the responsible use of Data and AI. We partner with clients to achieve their goals through data‑driven solutions across multiple industries: financial services, life sciences, healthcare, the public sector, retail, and transportation.

Our collective brings together the full data value chain under one roof:

  • Data Strategy: Turning buzzwords into clear, business‑aligned roadmaps
  • Data Engineering: Building secure, scalable, future‑proof data foundations
  • Analytics & Data Science: Creating AI‑powered tools and models that actually get used
  • Design & Visualisation: With our in‑house studio CLEVER°FRANKE, turning complex data into experiences people enjoy using

We’re leveraging our expertise in advanced analytics, machine learning, and business intelligence to power ADC's growth and deliver unmatched value to our clients.

We are looking for a Senior Decision Scientist who is deeply passionate about predictive modelling, causal inference, and optimisation to partner with our Retail team on a freelance basis. You will spearhead our advanced pricing initiatives for a leading e‑commerce client, building robust forecasting models that directly impact commercial strategy.

This isn’t a standard analytics role. You’ll be part of a true collective, working alongside highly specialised decision science teams. It’s about understanding complex methodologies to a deep research level, connecting predictive insights with operations research, and deploying state‑of‑the‑art causal machine learning techniques that shape dynamic pricing on a massive scale.

Where you’ll make an impact
  • Drive advanced forecasting for e‑commerce pricing
  • Develop and scale Machine Learning models for forecasting longitudinal data to optimise pricing strategies.
  • Utilise advanced techniques such as tree‑based models, boosting, bagging, ensemble methods, Light

    GBM, XGBoost, and related methods.
  • Champion causal machine learning and inference
  • Apply causal inference methods on observational data to understand true commercial impact.
  • Implement advanced frameworks such as Double

    ML, potential outcomes modelling, two‑way fixed effects models, interactive fixed effects models, and unobserved factor models.
  • Collaborate deeply with expert technical teams
  • Work hand‑in‑hand with our client’s internal decision science teams (who primarily hold PhDs in quantitative fields), sparring on complex methodologies and operations research at a rigorous academic and practical level.
  • Support a culture of clarity and continuous improvement
  • Question how we model today, spot opportunities for better algorithms or optimisation techniques, and translate highly complex data science concepts into actionable business value.
What you bring

At ADC, we’re not just consultants: we’re leading experts in Data & AI, using our expertise in strategy, business operations, and advanced analytics. What unites us is a shared way of working: breaking down complex challenges to change how organisations operate.

For this role, that means:

  • Senior‑level expertise:
    You bring significant experience in decision data science or machine learning.
  • Strong academic foundation: A PhD in Machine Learning, Computer Science, Statistics, Econometrics, Economics, Mathematics, or a highly related quantitative field is strongly preferred and a great indication of the methodological depth required for this role.
  • Deep technical toolkit:
    Extensive hands‑on experience in ML methods for forecasting longitudinal data (Light

    GBM, XGBoost, ensemble methods) and causal machine learning / causal inference methods (Double

    ML, fixed effects models, potential outcomes).
  • Domain knowledge:
    Experience applying forecasting, optimisation (operations research), and causal inference specifically for pricing in retail and e‑commerce settings is particularly desirable.
  • The ability to communicate with anyone in the room:
    From client PhD researchers to commercial leadership, you manage stakeholders credibly and adapt your highly technical message to the audience.
  • A…
Position Requirements
10+ Years work experience
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