Junior Data Scientist - Supply Chain Advanced Analytics AI/ML
Adidas —Amsterdam
- Fulltime
- Engels
- Master
- SQL
23 uur
Postdoctoral Researcher – Molecular Drivers of BRCA1-Related Precancer
Antoni van Leeuwenhoek Ziekenhuis —Amsterdam
- € 3.903 - € 5.503 per maand
- Fulltime
- Doctor
- Ziekenhuis
- Analytisch vermogen
- Kosteloos parkeren
- Reiskostenvergoeding
1 dag
Data Engineer
Pancompany —Amsterdam-Zuidoost
- € 55.000 - € 110.000 per jaar
- Hybride werken
- Azure
- Engels
- Java
Analytics Engineer
Xebia —Amsterdam
- Fulltime
- Hybride werken
- Azure
- SQL
- Bachelor
Snel solliciteren
11 dagen
Consultant | Machine Learning Engineer | Public Sector
Amsterdam Data Collective —Amsterdam
- Fulltime
- Hybride werken
- Informatica
- Azure
- Engels
Snel solliciteren
12 dagen
Medior Data Engineer
Xomnia —Amsterdam Centrum
- € 4.300 - € 5.400 per maand
- Fulltime
- Hybride werken
- Azure
- Informatica
- Engels
- Budget voor professionele ontwikkeling
Snel solliciteren
AI Engineer
Xebia —Amsterdam
- Fulltime
- Hybride werken
- Azure
- Master
- AI
Snel solliciteren
11 dagen
Data Engineer
Data Science Lab. —Amsterdam
- Fulltime
- Azure
- DevOps
- Windows
- Reiskostenvergoeding
- Flexibele werkuren
Analytics Engineer
Tiqets —Amsterdam
- Fulltime
- SQL
- Analytisch vermogen
- Communicatieve vaardigheden
- Productkorting werknemers
Data Engineer
BeFrank —Amsterdam
- € 4.665 - € 6.665 per maand
- Hybride werken
- Azure
- DevOps
- Kantoor
- Reiskostenvergoeding
Machine learning Engineer
Sia —Amsterdam
- Fulltime
- Hybride werken
- Azure
- Ziekenhuis
- DevOps
Snel solliciteren
3D Beam Steering by Autonomous Machine Vision for Conveyor-Based Object Scanning and Identification
Veridis —Amsterdam Zuid
- E-mail
- C++
- Python
- Flexibele werkuren
Machine Learning Engineer
Xebia —Amsterdam
- Fulltime
- Master
- Analytisch vermogen
- Bachelor
Snel solliciteren
11 dagen
AI Engineer
Hot ITem Groep —Amsterdam
- Fulltime
- Hybride werken
- Azure
- Informatica
- Engels
- Flexibele werkuren
AI Engineer
Orange Business —Amsterdam
- Hybride werken
- Azure
- Informatica
- DevOps
- Reiskostenvergoeding
Chemical Analysis & Testing Support Internship
Veridis —Amsterdam Zuid
- E-mail
- Stage
- Flexibele werkuren
Senior Data Science Analyst - OptimusAI
McKinsey & Company —Amsterdam
- Microsoft Powerpoint
- Microsoft Excel
- Informatica
Senior Machine Learning Engineer
Protolabs —Amsterdam
- Fulltime
- Hybride werken
- ICT
- Communicatieve vaardigheden
- Python
Snel solliciteren
Data Engineer Consultant -
Sia —Amsterdam Oost
- Fulltime
- Hybride werken
- Azure
- DevOps
- Engels
Snel solliciteren
(Senior) AI Engineer - m/v/x
Eraneos —Amsterdam-Zuidoost
- Fulltime
- Hybride werken
- Kantoor
- Master
- Bachelor
- Winstdeling
- Reiskostenvergoeding
Snel solliciteren

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van data scientist in 1302 almere

Door in te loggen op je account, ga je akkoord met de Algemene voorwaarden van SimplyHired en stem je in met ons Cookie- en Privacybeleid.

Zoek vacatures in meer locaties

data scientist jobs near 1302 almere

Vacatures voor Junior Data Scientist in Amsterdam

Vacatures voor Machine Learning Engineer in Amsterdam

Vacatures voor Engineer in Amsterdam

Vacatures voor Ai Developer in Amsterdam

Vacatures voor Data Scientist in Amsterdam

Vacatures voor Ai Engineer in Amsterdam

Vacatures voor Data Scientist in Groningen (provincie)

Vacatures voor Data Governance Lead in Amsterdam

Vacatures voor Data Scientist in Bilthoven

Vacatures voor Data Scientist in Delft

Vacatures voor Data Scientist in Den Haag

Vacatures voor Data Scientist in De Efteling

Vacatures voor Ai Engineer in Noord Brabant

Vacatures voor Ai Engineer in Tilburg

Vacatures voor Ai Engineer in Gelderland

Vacatures voor Ai Engineer in Groningen (provincie)

Vacatures voor Junior Cloud Engineer in Rotterdam

Vacatures voor Junior Data Scientist in Arnhem

Vacatures voor Junior Data Scientist in Utrecht (provincie)

Vacatures voor Data Analist in Eindhoven

Junior Data Scientist - Supply Chain Advanced Analytics AI/ML

Adidas -
Amsterdam

Nu solliciteren

Vacaturegegevens

Fulltime
23 uur geleden

Kwalificaties

Business intelligence
Supplychain
Spark
Git
Engels
Master
SQL
Analytisch vermogen
Bachelor
Communicatieve vaardigheden
Python

Volledige vacaturetekst

The Tech Data & AI function includes an Advanced Analytics SCM team, which works hand in hand with the Supply Chain organization on strategically relevant use cases that have the potential to deliver substantial value and redefine the way that the Supply Chain business function operates.

The SCM Advanced Analytics team builds data science products to make supply chain faster, more efficient, and responsive through seamless demand & supply planning, optimized logistics and distribution, customized replenishment, and automated workforce and production planning.

The Assistant Data Scientist is a hands-on role within the SCM Advanced Analytics team, supporting use cases related to Global & Market – Distribution and Outbound excellence. Working under the guidance of a Data Scientist or Senior Data Scientist, the role contributes to the data preparation, analysis, modelling, and testing that sit behind our data science products – and builds, over time, the technical depth and business understanding needed to take ownership of a use case.

Key Responsibilities

Hands-on analytical delivery (under guidance)

Perform data extraction, cleaning, profiling, and exploratory analysis in support of active use cases
Build and test analytical components – features, model candidates, calculation logic, validation scripts – against requirements agreed with the responsible Data Scientist
Write clear, readable Python and SQL, following team standards on version control, code review, and documentation from day one
Investigate data quality issues, trace them back to source systems, and propose fixes
Prepare validation outputs, back-tests, and comparison analyses that show whether a solution performs as intended
Support solutions running in production: run scheduled checks, flag anomalies, and help reproduce and root-cause issues
Produce analysis outputs – notebooks, charts, summary tables, dashboard components – that colleagues can pick up and re-run without explanation

Stakeholder collaboration & communication

Join working sessions with DC, Outbound, and planning stakeholders; capture requirements, assumptions, and open questions in a structured way
Ask questions to understand the operational process behind the data rather than taking fields and figures at face value
Present analysis results to the project team and working-level business contacts clearly and honestly, including what the analysis does not show
Support user testing and enablement sessions; collect user feedback and log it for follow-up
Keep the responsible Data Scientist and the Product Owner informed on progress and blockers early

Learning & ways of working

Actively build technical depth in the team’s core stack and working knowledge of distribution centre and outbound processes
Seek out and apply feedback on code and analysis; treat code review as a learning channel
Work in agile delivery cycles: manage own tasks, estimate honestly, and raise blockers early
Contribute to team documentation, reusable components, and knowledge sharing
Ensure compliance with relevant statutory or external regulations and codes of good practice

This role carries no direct people management responsibility.

Key Relationships

Data Scientists and Senior Data Scientists within SCM Advanced Analytics (day-to-day guidance)
Director Product Ownership – SCM Advanced Analytics (line manager)
Global & Market SCM teams – Distribution Centre operations and planning teams
Data engineers and other Advanced Analytics teams
Other teams within Tech (e.g. Data Platforms & Data Governance)

Requisite Education and Experience / Minimum Qualifications

Education

University degree (Bachelor’s or Master’s) in a quantitative discipline (Computer Science, Data Science, Statistics, Mathematics, Physics, Econometrics, Operations Research, Industrial or Supply Chain Engineering, or comparable)

Work experience

2 – 4 years of professional experience in a data, analytics, or engineering role; relevant internships, working student positions, or a substantial applied thesis project are equally valid
Any exposure to supply chain, logistics, manufacturing, or retail operations is a plus, but is not a requirement

Hard skills

Working proficiency in Python and SQL, demonstrated through academic projects, internships, or personal work
Sound grounding in statistics and core data science methods (regression, classification, clustering, basic time-series)
Familiarity with version control (Git) and comfort working in a notebook environment
Exposure to cloud data or lakehouse platforms (Databricks, Spark/PySpark) is an advantage – training will be provided
Able to visualise data and present results clearly; experience with a BI or app framework is a plus
Fluent English (written and spoken)

Soft skills

Clear and to-the-point written and oral communication skills (English)
Genuine curiosity – asks why the numbers look the way they do, and follows the question through
Intellectually honest: reports what the data supports and flags uncertainty rather than smoothing over it
Structured, reliable, and accountable for agreed tasks and deadlines
Eager to learn quickly, act on feedback, and work hands-on with operations teams, including on site
Resilience and a solution-oriented attitude

AT ADIDAS WE HAVE A WINNING CULTURE. BUT TO WIN, PHYSICAL POWER IS NOT ENOUGH. JUST LIKE ATHLETES OUR EMPLOYEES NEED MENTAL STRENGTH IN THEIR GAME. WE FOSTER THE ATHLETE’S MINDSET THROUGH A SET OF BEHAVIORS THAT WE WANT TO ENABLE AND DEVELOP IN OUR PEOPLE AND THAT ARE AT THE CORE OF OUR UNIQUE COMPANY CULTURE: THIS IS HOW WE WIN WHILE PLAYING FAIR.

COURAGE: Speak up when you see an opportunity; step up when you see a need..
OWNERSHIP: Pick up the ball. Be proactive, take responsibility and follow-through.
INNOVATION: Elevate to win. Be curious, test and learn new and better ways of doing things.
TEAMPLAY: Win together. Work collaboratively and cultivate a shared mindset.
INTEGRITY: Play by the rules. Hold yourself and others accountable to our company’s standards.
RESPECT: Value all players. Display empathy, be inclusive and show dignity to all.

At adidas, we strongly believe that embedding diversity, equity, and inclusion (DEI) into our culture and talent processes gives our employees a sense of belonging and our brand a real competitive advantage.

– Culture Starts With People, It Starts With You –

By recruiting talent and developing our people to reflect the rich diversity of our consumers and communities, we foster a culture of inclusion that engages our employees and authentically connects our brand with our consumers.

Job Title: Junior Data Scientist - Supply Chain Advanced Analytics AI/ML

Brand:

Location: Amsterdam

TEAM: Data

State: NH

Country/Region: NL

Contract Type: Full time

Number: 548992

Date: Aug 28, 2026

Nu solliciteren

Verfijn je zoekopdracht

data scientist vacatures in 1302 almere

Junior Data Scientist - Supply Chain Advanced Analytics AI/ML

Postdoctoral Researcher – Molecular Drivers of BRCA1-Related Precancer

Data Engineer

Analytics Engineer

Consultant | Machine Learning Engineer | Public Sector

Medior Data Engineer

AI Engineer

Data Engineer

Analytics Engineer

Data Engineer

Machine learning Engineer

3D Beam Steering by Autonomous Machine Vision for Conveyor-Based Object Scanning and Identification

Machine Learning Engineer

AI Engineer

AI Engineer

Chemical Analysis & Testing Support Internship

Senior Data Science Analyst - OptimusAI

Senior Machine Learning Engineer

Data Engineer Consultant -

(Senior) AI Engineer - m/v/x

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van data scientist in 1302 almere

Zoek vacatures in meer locaties

Job Title: Junior Data Scientist - Supply Chain Advanced Analytics AI/ML

Job Seeker-tools

Werkgeverstools

Bladeren

Blijf verbonden