- Masters/PhD in quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent)
- 6 to 8 years of industry experience in predictive modelling, recommender systems and data analysis
- Solid understanding of foundational statistics concepts and ML algorithms: linear/logistic regression, random forest, boosting, GBM, NNs, etc
- Previous experience, preferably in product company, in a ML or data scientist role and a track record of building ML or DL models
- Experience using Python and ML libraries, such as scikit-learn, pandas, numpy, scipy
- Experience handling terabyte size structured and unstructured datasets using distributed frameworks such as Spark, Hive
- Familiarity with using data visualization tools
- Experience working with GPUs to develop deep learning models
- Ability to develop experimental and analytic plans for data modelling processes, use of strong baselines, ability to accurately determine cause and effect relations
- Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
- Along with product managers, own the business outcomes/metrics which the data science model/algorithm drives
- Strong written and verbal communication skills
- Bonus Points for Experience with A/B testingv
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