Senior Data Scientist
What's the role?
As a senior data scientist, you will be responsible for building models/tools that improve marketing efforts of Hilti globally. You will collaborate with business to provide technical guidance to a team of data scientists on advanced analytics models.
Who is Hilti?
If you’re new to the industry, you might not have heard of us. We provide leading-edge tools, technologies, software and services for the global construction sector. We have a proud heritage, built over 75 years, and a worldwide reputation for pioneering products and exceptional service. With 28,000 people in more than 120 countries we operate with a unique direct sales model and generate around 250,000 customer interactions every day.
What does the role involve?
You will apply your strong expertise of advanced analytics techniques (e.g., machine-learning) to design, prototype, and build solutions. You will ensure frequent communication with other stakeholders to drive use case solution with business focus and manage expectations on possibilities and lead times. You will develop best practices for analytics (models, standards, tools) and share learnings with peers.
What do we offer?
To further accelerate in digital marketing, we are building our Global Digital Hub in Paris. You will experience the agile mentality of a start-up, combining the stability of a sound business model and the working environment of an award-winning culture. You can make an impact from day one in an international and diverse team by shaping the future of digital at Hilti and revolutionize customer interactions.
Why should you apply?
Participate in starting up a new Digital Marketing organization, with global impact. Work together with a team of data scientists, data engineers; Run analysis using different tools and methodologies and provide outputs needed to solve business problem. Apply strong expertise in advanced analytics techniques (e.g., machine-learning) to design, prototype, and build solutions. Enjoy high freedom to act. Open excellent international and cross-functional career prospects in a dynamic environment.
What you need is:
- Master’s degree or PhD in Data Science, Computer Science, Statistics or Mathematics with 5+ years experience in a statistical and/or data science role; Hands on experience working as Data Scientist with cross functional teams.
- Expertise in advanced analytical techniques such as descriptive statistics, machine learning, optimization, pattern recognition, cluster analysis, segmentation analysis, etc.
- Experience of statistical analysis tools and languages, e.g., Python, R, Matlab, SAS, experience working with large data sets & distributed computing tools (e.g., Hadoop, Hive, Spark); Fluency in a scripting or computing language.
- Fluency in English