MARCH 2021 – Bain & Company

Data Scientist

What’s the role?

In the role of a Data Scientist, you will collaborate with our Market & Data Engineers on advanced statistical modelling. Hilti has a tremendous wealth of external and internal data. We are using it to bring our customer and business facing use cases to another level as well as develop advanced tools and services based on tool data. The Analytics team is highly technical and at the same time at the core of Hilti’s software business

Who is Hilti?

We provide leading-edge tools, technologies, software and services for the global construction sector. Hilti is a multicultural workplace with 125 different nationalities committed to global teamwork.
What does the role involve?

In this position, you will be responsible for designing experiments, testing hypotheses, and developing and programming models. You will operate within agile, iterative processes, conducting advanced data analysis and implementing highly complex statistical algorithms. Additionally, you will develop experimental design approaches to validate findings or test hypotheses. Top of Form  Bottom of Form

As a Data Scientist, you will lead discovery processes to identify business opportunities and yield new insights. Collaborating closely with business analysts, you will model and frame business scenarios that have significant impact on critical decisions and business processes.

Your responsibilities will also include identifying available and relevant data, including internal and external sources, structured and unstructured data, and utilizing emerging data collection methods such as smart meters, connected tool information, or social media. Working with global subject matter experts, you will select the most pertinent sources of information and make strategic recommendations on data collection, integration, and retention requirements, aligning them with business needs and best practices.

You will develop usage and access control policies and systems in collaboration with data stewards, contributing to continuous improvement processes that enhance data quality for specific use cases. Presenting your findings in easily understandable terms for business stakeholders, you will address results that challenge common beliefs, if necessary, and engage with both business subject matter experts and organizational leadership.

What do we offer?

Show us what you’re made of and we’ll offer you opportunities to move around the business – to work abroad, experience different job functions and tackle different markets. It’s a great way to find the right match for your ambition and achieve the exciting career you’re after.

We have a very thorough people review process, unlike any we know of in other businesses. We can pair talents with opportunities – developing our people in their current roles or challenging them to work in new places. It is how we find the right fit, further our teams personally and professionally, get the best value for each employee and increase the job satisfaction. Additionally, we also offer you a wide range of benefits.

Why should you apply?

Become a valuable member of our highly professional and international team of Software experts and meet the challenges of a global multinational company using latest technologies. You will have the freedom to act in the responsible area with career prospects in a dynamic environment, excellent opportunities to develop yourself to higher levels and wider range of knowledge Furthermore, 80% of our top positions are filled internally. We have a clearly defined career development track for every individual employee and an excellent team whom are duly rewarded by performance.

What you need is

  • Possession of a master’s or PhD in mathematics, statistics, computer science, or a related field.
  • Proven track record in both quantitative and qualitative research and analytics.
  • Extensive knowledge of statistical techniques, machine learning algorithms, and proficiency in programming languages such as Python, R, and Java.
  • Demonstrated experience with cloud platforms like AWS, coupled with strong SQL skills for effective data engineering collaboration.
  • Proficiency in a range of analytical practices, including statistical analysis, forecasting, predictive analytics, multivariate testing, and optimization algorithms.

*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.

Hilti is an equal opportunity employer.