Data Scientist (m/f/x)
What's the role?
In the role of a Data Scientist, you will collaborate with our Data Engineers on advanced statistical
modelling. Hilti has a tremendous wealth of external and internal data. We are using it to bring our customer
relationship to another level as well as to develop advanced tools and services based on tool data. The
Data Science team is highly technical and at the same time at the core of Hilti’s digital business.
Who is Hilti?
We provide leading-edge tools, technologies, software and services for the global construction sector. Hilti is a multicultural workplace with 127 different nationalities committed to global teamwork.
Global IT within Hilti is a truly global team with main hubs in Buchs (Switzerland), Kuala Lumpur (Malaysia) and Plano/Tulsa (USA). All locations have highly competent teams who work very closely together. Hilti`s Global IT team is known for their focus on sustainable value creation by translating latest IT innovations into value creating solutions & services.
What does the role involve?
As a Data Scientist you lead discovery processes to identify the business requirements and business opportunities. To do so, you design experiments, test hypotheses, and you develop and program models.
You work in agile, iterative processes, conduct advanced data analysis, and implement highly complex statistical algorithms. In close cooperation with our experienced business analysts you model and frame business scenarios that are meaningful and which affect critical decisions and business processes.
You identify what data is available and relevant, including internal and external data sources, structured and unstructured data, leveraging new data collection processes such as smart meters and connected tool information or social media. You collaborate with global subject matter experts to select the relevant sources of information. You make strategic recommendations on data collection, integration, and retention requirements incorporating business requirements and knowledge of best practices.
The development of usage and access control policies and related systems are organized in close alignment with the data steward. Together you drive the continuous improvement processes that are impacting data quality in the context of specific use cases.
You present and depict the rationale of your findings in easy-to-understand terms for the business stakeholders and, if applicable, you present back results that contradict common belief to subject matter experts and organizational leadership. You instruct the organization both from IT and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results. Based on this, you help the organization to understand the principles and the mathematics behind the process to drive organizational buy-in.
You provide on-going tracking and monitoring of performance of decision systems and statistical model and you lead the design and deployment of enhancements and fixes to systems as needed.
What do we offer?
We give you the autonomy to identify the right technology solutions for our customers. We also encourage you to grow, not only in this role, but also beyond - you will be able to move around the business, to experience various job functions and even work abroad in different markets.
Our IT department is located in Buchs SG, Switzerland in the beautiful and mountainous Rhine Valley. It is in convenient walking distance to the city center and train station as well as in close proximity to our corporate headquarters in Schaan, Liechtenstein.
As integral part of our performance oriented yet caring culture we want you to work your best. Offers such as flexible working/part time arrangements, comprehensive insurance and pension plans, day care for your children are just some of the ways we do that. Additionally, Hilti e-bikes are readily available for you to use free of charge!
Why should you apply?
For this position, we are seeking creative and open-minded people with a demonstrated ability to work both independently and in a global team setting. If you possess extraordinary analytical skills, when you have strong programming experience, and when you have rock solid statistical education, you are exactly what we are looking for.
What you need is:
- You hold a PhD in mathematics, statistics, computer science, or related fields
- You bring 3 or more years of relevant quantitative and qualitative research and analytics experience
- You have deep knowledge of statistical techniques and experience using machine learning algorithms
- Experience with cloud platforms (e.g. AWS), strong programming skills in R, Python and Java are a given
- Your strong data engineering skills in SQL support you to partner up most efficiently with our data engineers
- You bring basic skills in software engineering (software architecture, version control systems, continuous integration software)
- Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms will underline your expertise
- You have the ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets
- Your strong communication and interpersonal skills support you in achieving your professional and personal goals
Does this sound like you? We look forward to your application! For further questions, please feel free to contact the hiring manager Andreas Wagner, our Global Head of Data Science on LinkedIn: https://www.linkedin.cn/in/wagneremail/
Learn more about us: https://careers.hilti.li/en-li
Learn more about our IoT initiatives: https://www.youtube.com/watch?v=esUQ6tdQnls
Learn more about our Global IT Competition here : https://www.youtube.com/watch?v=dlv1hDNuVw4
Hilti is an equal opportunity employer.
*For non-EU / EFTA citizens: Please state your eligibility status to work in Switzerland/ Liechtenstein and note that if you do not own a valid Swiss/ Liechtenstein work permit, Hilti cannot guarantee your final employment due to authority regulations.