30+ days ago - req33505

Data Scientist S&SC

Logistics & supply chain management

Data science

In a nutshell

Location

Veldhoven, Netherlands

Team

Logistics & supply chain management

Experience

3-7 years

Degree

Master

Job Category

Data science

Travel

No

Introduction to the job

At ASML the S&SC Business Analytics team creates value from data, by generating insights and creating specifications for industrializing models on different topics. This helps prioritize business initiatives focusing on increasing quality, reducing cost, improving revenue and delivering additional value for our customers. As a Data Scientist at ASML it is your role to collect, analyze and translate our data into trusted business insights. You have excellent communication skills, know your statistics to evaluate models, learn new tools fast and likes to work in a challenging environment

Role and responsibilities

Develop data models and support the generation of business insights by using a combination of cross-sector data sources and applying leading analytics tools and technologies in order to enable optimization of ASML and customer value. Enable predictive and prescriptive capability using the data models. Be the partner in crime to connect business insights demand with IT solutions

Your main key elements are supporting in formulating problem statements and performing exploratory data analysis to identify trends and patterns. Develop functional prototypes and document these in technical specifications. The other key element is define industrialization requirements that support the deployment of the data and analytics models, including test based specifications towards the IT development teams (based on unit tests and metrics).
Your tasks will be:
- Generate, own and manage the S&SC data model as the one source of truth based on trusted and actual data and align with the data architects
- Apply leading analytics tools (e.g. Python, Alteryx, Spotfire) and technologies to develop in-depth understanding of structured and unstructured data on the topic at hand
- Use ETL tools to apply data cleansing and transformation techniques for prototypes and describe data quality metrics for industrialization
- Apply predictive models and evaluation criteria based on applicable metrics
- Generate business insights by translating data into visuals, reports and dashboards.
- Interact with technical and non-technical (cross-sector) stakeholders, and able to present and explain analytical problems, approach, results and recommendations
- Support in creating sprint planning by giving input and feedback

Education and experience

- Master, preferably on the cross-section of technology/engineering and business/economics (e.g. econometrics, industrial engineering, supply chain management, mathematics, physics, data science)
- 5-10 years’ experience (experienced professional) in working with data, techniques, analysis tools and statistics

Skills

Working at the cutting edge of tech, you’ll always have new challenges and new problems to solve – and working together is the only way to do that. You won’t work in a silo. Instead, you’ll be part of a creative, dynamic work environment where you’ll collaborate with supportive colleagues. There is always space for creative and unique points of view. You’ll have the flexibility and trust to choose how best to tackle tasks and solve problems.
To thrive in this job, you’ll need the following skills:

Hard skills
- Affinity with data and business intelligence platforms, data analysis and analytics tools and techniques
- Ability to apply the latest analysis techniques
- Knowledge of statistics and experience using statistical packages for analyzing large datasets (Excel, SQL, R, Python, etc.)
- Knowledge of data modelling, cleansing and transformation
- Knowledge/understanding of (complex) Supply Chain processes, preferably in a high tech, low volume environment.
- Ability to train and evaluate predictive and prescriptive models on metrics and to transfer this to industrialization requirements (e.g. model drift, active learning)
Soft skills
- Strong capability for problem solving, thinks creative, out of the box
- Perseverance to ‘find the needle in the haystack’
- Able to work effective and constructive in multidisciplinary teams
- Professional communication: can explain and present technical matters within team
- Internal drive for efficiency and able to work disciplined and accurate
- Pragmatic, pro-active, ‘self-propelling’ way of working and able to operate in a dynamic environment
- Take responsibility: say what you do and do what you say
- Transparent and self-reflective: learn from your own mistakes
- Observe the wishes and needs of the customer, anticipate on them and then act accordingly.
Desirable
- Hands-on experience with Alteryx, Spotfire, Python (including ML libraries and Spark), R, SAP Analytics Cloud
- Experience with ML Ops and Agile (SCRUM)
- Ability to deploy models (e.g. cloud deployment)
- Understanding of ASML business ecosystem

Diversity & Inclusion

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.

Other information

Context of the position
Within ASML, the sector Customer Support is responsible for the support of ASML products at customer sites. The holder of this position reports to the manager of S&SC Analytics & Performance Management

Need to know more about applying for a job at ASML? Read our frequently asked questions.


Learn more about this job