Data Scientist

Required Qualifications

• Master’s degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research or other quantitative fields.
• 2 years of experience in a data science and analytics capacity, preferably in market research, or advertising analytics.
• Ability to manipulate, analyze, and interpret large data sources independently.
• Familiarity with core statistical concepts and techniques (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, classification, stochastic modeling/simulation, and more).
• Exposure to a variety of machine learning methods (clustering, regression, tree-based models, etc.) and their real-world advantages/drawbacks.
• Practical experience applying statistical and modeling techniques.
• Strong analytical skills with a focus on data and model validation and accuracy.
• Comfortable with learning new methods, tools, and techniques.
• Able to complete assigned tasks independently while collaborating on overall project direction and broader project goals
• Proficiency in Python (as it relates to statistical analysis and implementing Machine Learning models)