Data Scientist, People Insights EMEA at Roche Kenya

People and Culture vision is built on the premise that what makes companies great is people, and analytics is able to unlock their full potential. We wish to unleash exponential people & business impact through data driven decisions, surfacing insights and embracing cutting-edge technology.

As a People and Culture Data Scientist, your work will impact the way Roche functions throughout our candidate and employee lifecycle.  Your work will impact every facet of our quest to cure and treat diseases for our patients and you will personally help shape and define this journey. If you are interested in helping us transform into a more diverse, transparent, inclusive, collaborative and agile team – this role is for you.

We are looking for a Data Scientist to work on our impactful and dynamic team. This Data Scientist will work closely with other Data Scientists, Data Engineers, Business Intelligence Developers, Insights Partners and Product Owners to deliver products to our employees including the most senior leaders. 

 Key Responsibilities

1. Leadership of projects and initiatives
2. Thought leadership on how to use advanced statistics, ML and AI in the HR domain
3. Synthesize requirements from non-technical stakeholders
4. Drive decision making by clearly tell stories with data 
5. Promote (both your own and others on the team) ideas and vision to external stakeholders and potential customers
6. Inspire and collaborate closely with team members and stakeholders across the company to drive success

Technical Experience

Required

• Experience building models, executing statistical analyses, and manipulating data
• Python (Numpy, Scipy, Pandas, scikit-learn,NLTK)
• SQL RDBMS
• Statistical expertise
• Data Visualization (QlikSense,Tableau etc.)

Familiar (and willingness to learn more of)

• AWS (S3, EC2, Sagemaker, Glue)
• R
• Docker
• Agile processes
• Plotly and Plotly-Dash
• Deep Learning (Tensorflow, Pytorch)
• Production software development experience (git, testing, code reviews, etc.)

Preferred Experience & Background

• PhD or MS in Statistics and computer science. Mathematics/Actuarial Science background desirable, people analytics experience a plus
• 5+ years of experience in the field of data science, analyzing company data sets (structured, unstructured) to find opportunities and drive improvements through data-based insights