Data Scientist - HR

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Are you passionate about using data to drive evidence-based decision making? Can you work with sizeable datasets and manipulate them in a logical way to elicit insights with clarity

We are looking for a Data Scientist to work work in our People Analytics team, someone who thinks in a clear and organised manner to help us tackle challenging business problems with data and a mathematical approach.

The right candidate would be able to work under time-pressure, generating accurate and complex analysis. The ability to explain complicated concepts to a lay-person would be a key trait and thinking creatively about problem-solving would be critical to the role.

Overview

The Unilever People Analytics team is a pioneering group of statisticians, data scientists and visualisation experts that utilise advanced statistical techniques to analyse our HR, financial and marketing data.

The role encompasses discovering and rationalising historical patterns in large data sets, developing predictive models, creating automated data solutions and researching machine learning techniques that are proprietary to Unilever.

What we are looking for:

We are seeking a candidate that can work with speed and accuracy, looking to apply their problem- solving, mathematical and programming skills to business questions through a people-lens.

The successful candidate would be able to demonstrate a thirst for learning and a passion for using data to generate insights. There will be frequent and varied opportunities to develop your business acumen and present complex analysis to senior business leaders.

Projects are very varied and require a combination of technical skills as well as an understanding of the business context. Mentoring team members in the application of analytical techniques will be a core requirement.

A mature attitude to developing relationships with multiple stakeholders, and tenacity to drive projects forward to tight deadlines and the ability to solve problems on your own will be the key to your success in this role.

Experience in a similar capacity would be advantageous to your application although no prior HR experience is needed. Success will be defined through application of your analytical techniques to this new and exciting area.

Technical Skills and Qualifications

A demonstrable passion for machine learning / data science or statistics is crucial, preferably with a degree in a quantitative subject.

A comprehensive understanding of most of the following would be expected: Generalised Linear Models, CART, Random Forests, Clustering, Principal Components Analysis and Network Theory. Experience of Neural Networks would be a plus, but not essential.

Knowledge of at least one statistical programming language such as R/ MATLAB/ Python would be essential as well as good working knowledge of SQL