Data Scientist

Responsibilities: • Will work on customer-facing use cases, such as anomaly detection, social engineering fraud prevention • Build comprehensive summary presentations to executive and technical teams • Turn statistical information into meaningful, actionable insights • Proven ability to build a data science pipeline • Leveraging advanced statistical techniques and machine learning models, including supervised and unsupervised learning • Successful ability to apply data science to business problems, scientific research, marketing and other fields

Skills

Well versed in Cloud technologies and Big Data platform. Expertise in working with very large datasets Strong skills in predictive, prescriptive, descriptive and cognitive analytics Proficiency using query languages such as SQL, Pig, Hive –Experience using cloud services (AWS, Google Cloud Platform or Azure) for data analysis and modeling Proficiency in R and/or Python Strong knowledge of AI and Machine Learning Understanding of one or more of the following areas: advanced statistical data analysis, machine learning techniques, Bayesian methods, MCMC, neural networks, Ensemble methods, Gaussian processes and related topics