Magnet.me  -  Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Het slimme netwerk waar studenten en professionals hun stage of baan vinden.

Senior Data Scientist

Geplaatst 25 nov. 2025
Delen:
Werkervaring
8 tot 20 jaar
Full-time / part-time
Full-time
Functie
Opleidingsniveau
Taalvereiste
Engels (Vloeiend)

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Shape the Future of Ecommerce with Versuni as a Senior Data Scientist

The ecommerce landscape is evolving faster than ever, demanding more than reactive insights — it requires proactive leadership in shaping strategies with data at the core. At Versuni, we understand that turning complexity into clarity drives competitive advantage, operational excellence, and sustainable growth.

We are seeking an experienced and innovative Senior Data Scientist to join our dynamic team. In this role, you will leverage advanced analytics, statistical modeling, machine learning, and business insights to tackle complex problems and drive strategic decision-making. You will have the opportunity to lead data initiatives, mentor junior team members, and contribute to the growth and success of the organization with data as a driving force.

If you are passionate about impactful data solutions, thrive in solving challenging business problems, and enjoy collaborating across teams, this role is for you.

The impact you’ll make:

  • Data Strategy & Analytics:
    • Identify business challenges and opportunities, and develop data-driven solutions to address them.
    • Design robust analytics frameworks and implement techniques to extract actionable insights from structured and unstructured data.
  • Data Visualization & Dashboarding:
    • Develop and maintain interactive dashboards using tools like Power BI to provide stakeholders with real-time access to insights.
    • Effectively communicate results and trends through compelling visualizations, ensuring clarity and usability for decision-makers.
  • Machine Learning & Statistical Modeling:
    • Build, train, and deploy predictive and prescriptive models (linear regression, segmentation, clustering, forecasting, etc.) using machine learning algorithms.
    • Develop scalable ML pipelines while ensuring interpretability and accuracy.
  • Data Engineering & Preparation:
    • Work with large datasets, ensuring data quality, integrity, cleaning, and pre-processing for modeling.
    • Collaborate with data engineering teams to optimize data pipelines and create scalable systems for repeatable analysis.
  • Business Collaboration:
    • Partner as a thought leader with cross-functional teams (e.g., Ecommerce, Product, Operations, Marketing) to deliver impactful data solutions.
    • Analyze full-funnel ecommerce data (traffic, conversion, retention, revenue) to uncover trends and inform marketing and commercial strategies.
    • Identify drivers to boost performance while ensuring that profitability is in check. Automate solutions/simulators for business teams to track KPIs by tweaking levers using data.
    • Translate technical findings into understandable narratives for non-technical stakeholders, driving actionable recommendations.
  • Leadership & Mentorship:
    • Lead data science projects end-to-end, including scoping, execution, and communication of results.
    • Mentor junior data scientists and analysts, reviewing their work and providing constructive feedback.
  • Tools & Technologies:
    • Utilize advanced analytical tools and programming languages such as Python, R, SQL, and Spark.
    • Leverage cloud platforms (AWS, Azure) and big data frameworks for scalable analytics.
  • Continuous Improvement:
    • Stay updated with the latest trends, algorithms, and techniques in data science to recommend improvements to existing processes and solutions.

The skills and knowledge you’ll bring:

  • Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Engineering, Economics, or related field.
  • 8+ years’ experience in data science, ecommerce analytics, or similar roles; experience in global/multi-market environments preferred.
  • Proven ability to deliver end-to-end projects with measurable business impact.
  • Advanced proficiency in Python and/or R for data analysis and modeling.
  • Strong SQL skills with the ability to query large, complex datasets.
  • Expertise in machine learning, statistical modeling, predictive analytics, and data mining.
  • Knowledge of Databricks for data engineering, model development, and distributed computing workflows.
  • Expertise in data visualization tools (Tableau, Power BI, or similar).
  • Proven ability to influence senior stakeholders with actionable, data-driven recommendations.
  • Exceptional communication skills; skilled at simplifying complex analyses into compelling narratives.

What we’ll give you in return:

  • Internationally competitive base salary, benchmarked against global industry and market leaders
  • Performance-based Annual Incentive Program, rewarding those who dare and achieve more
  • Top of the market pension scheme with higher-than-average company contributions
  • Work from home, commuting and phone allowances to support your daily commute, home office setup, and business connectivity
  • Balanced office-based working: with a strong focus on in-office collaboration, we offer flexibility to work from home based on team needs and individual circumstances
  • Work from abroad: up to 30 days per year
  • Structured holiday policy: includes defined care days, enhanced maternity/paternity leave, and a capped option to purchase additional leave days annually
  • Bicycle Plan: possibility to select a company bicycle for daily commute along with accessories and insurance
  • Health Insurance Discount when signing up with our partner insurance
  • Gym Membership Discount to support your focus on health and wellbeing
  • Product Discounts on all Versuni products which are sold under the Philips brand and our other brands
  • An office that feels like home: easily accessible and modern office location in Amsterdam with lots of tasty lunch choices around
  • High growth environment offering exciting learning and career development perspectives beyond your first role
  • Inclusive working culture and family spirit: we embrace our international community and diversity as competitive advantage

From developing game-changing air fryers to perfecting the art of coffee making, Versuni’s purpose is turning houses into homes — and we’re calling on your talent to bring it to life. Join our global team of 6,000+ passionate individuals, work with world-class brands, and shape the future of home living. We’re ready for you — are you ready for us?

We are Versuni.
Home to some of the world’s most renowned home appliance brands. Our purpose is turning houses into homes.
As a house of brands, we are home to the brands: Philips, Saeco, Gaggia, Preethi, Philips Walita, L’OR Barista and Senseo.
Versuni is headquartered in Amsterdam, the Netherlands, and we have innovation, manufacturing, and commercial centers across the globe, with a footprint in over 100 countries.

FMCG
Amsterdam
Actief in 100 landen
7.000 medewerkers
50% mannen - 50% vrouwen
Gemiddeld 35 jaar oud