Statistician

Job Description
Key responsibilities for the role:

Provide technical support to ensure analyses are mathematically sound
Applying classical and Bayesian statistical techniques for inference and forecasting, multiple comparisons, and longitudinal analysis
Analyze and interpret large amounts of data to identify trends, gaps, and inconsistencies
Develop new mathematical models to improve understanding of in-house data
Provide support to the data science team and clients by responding to ad-hoc data requests, answering questions, and providing advanced technical support and analysis
Turn data into insight and communicate your findings effectively
Provide capacity building to increase mathematical capability across the company
Attend occasional late-night and early-morning meetings with colleagues around the world

The ideal candidate has:

Bachelor’s Degree in Statistics, Operation Research, Econometry or a similar quantitative field with 3 years of relevant professional experience. Masters degree with one year of relevant professional experience or PhD preferred
Deep understanding of statistical analysis, you not only know how to apply the right hypothesis test, you understand the math behind it and can explain it in simple terms
Professional experience using statistical packages (R, STATA, SPSS) to derive business insights
Strong analytical, problem-solving, and time management skills
Ability to learn quickly, initiate and drive projects to completion with minimal guidance
Ability to thrive in a dynamic and fast-paced environment
University academics strongly encouraged to apply
Proficiency in Python a plus, in particular Data Science packages (numpy, pandas, Scikit-
Learn, Tensorflow)
Proficiency in SQL a plus
Proficiency in Microsoft Excel a plus
Experience using data visualization software such as Looker, Tableau, or Periscope a plus