Salary (USD) Not specified
Full Time | 0 Applicant(s)
Posted: 14 Mar 2019
As a successful applicant, you will have a Masters or PhD in Machine Learning / Statistics / Mathematics / relevant quantitative field.
You will have 7 - 10 years experience and be working as a Senior Data Scientist with managerial responsibilities.
Strong track record in solving analytical problems using quantitative and machine learning approaches
Deep experience in common machine learning techniques such as Random Forests, Boosting, Regularized Regression, Naïve Bayes Classifiers
Deep experience working with and coding in R, R Shiny, Python
Deep experience in testing and measurement (A/B, multivariate, inferential measurement e.g. Causal Impact)
Working knowledge of advanced machine learning such as Deep Neural Networks, Support vector machines, Reinforcement learning and Bayesian networks
Working knowledge in classical statistics (Regression, Clustering, Optimization, Time Series, Probability)
Working knowledge of data visualization concepts in reports (Tableau, Power BI) and specialist tools (D3 or equivalent)
Fluency extracting and combining complex, high-volume, high-dimensionality data from multiple sources (enterprise, proprietary, IoT, public domain), including unstructured data (comment threads, audio, video)
Working knowledge working with large data sets, experience working with distributed computing tools a plus (Apache Spark, Hive, Imp ala)
Working knowledge working in Microsoft Azure / AWS/ GCP and scaling analytic products over GPUs in the cloud
Reach out to me at [email protected]