Human Resources Data Scientist

How about making a difference for everyone at BOBST ? You combine a passion for Human Resources and technology? You are an entrepreneur who make other people’s ideas come to life? If this sounds like you, we want to meet you!

The Challenge

You will be part of the global Human Resources function (called “Group HR”), which is in charge of the design, implementation and monitoring for all HR-related processes across the company. Moreover, the members of the department partner with the business to support their strategies. Today, one of the HR function’s main challenges is to tap into and leverage data gathered across various systems and turn them into actionable insights.

The Role

As an HR Data Scientist, you are responsible for analytics initiatives, people research, and experimentation. You focus on business and HR key topics (such as predicting great hires or employees at risk of leaving) and supporting our company’s employee engagement and diversity & inclusion goals.

Your responsibilities include quantitative analytics, predictive modeling, research design, consulting. You are an active partner to HR and people leaders to understand people-related business problems and help frame them into actual research questions that can be answered with data. You analyze, build, test, and communicate solutions that provide insights and lead to data-driven recommendations. Together with the other HRIS team members, you help define how best to capture new data where necessary. You also collaborate with our IT department to push the HR data agenda.

To be successful in this position, you will possess the following attributes:

Passionate about People trends: you have a deep understanding of the HR data industry and people analytics trends. You keep abreast of the latest developments in that area.

Storyteller: you are Data-driven and highly analytical, yet you can translate data and insights into meaningful visualizations and stories such that business leaders are able to fully understand the meaning and implications of results.

Customer-oriented: you propose research based on business priorities and take a customer-focused mindset in working with stakeholders.

Entrepreneurial mind-set: you are fully in charge of your area of expertise, and are capable of reaching your objectives under limited supervision. You are not afraid of taking initiatives and proposing creative solutions.

Professional Experience Required

• You have developed and implemented People Analytics initiatives successfully including design, testing, training and support.
• Experience in research design, visualization techniques, and analysis approaches in which you manage and analyze both structured and unstructured data.
• Experience with tools and languages such as SQL, Python, Tableau, etc. and in the design and implementation of data pipelines that support the continuous delivery of insight.
• Communication is key, and you are at ease interacting at all levels of the organization. You must be fluent in English.