Data Scientist

Job Description: Experienced data science, engineering, mathematics, or related work experience is required.Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasetsExperience applying various machine learning techniques, and understanding the key parameters that affect their performanceExperience using ML libraries, such as scikit-learn, mllib, etc.Experience using data visualization toolsAble to write production level code, which is well-written and explainableInterest to do lots and lots of proof of concepts/rapid prototypingAbility to effectively communicate findings from complex analyses to non-technical audiences.Essential FunctionsExplore and aggregate data independently to uncover data anomalies that impact algorithm performanceEnd to end feature engineering - brainstorm, create, validate, down-select, etc.Write production level code in a dynamic, start-up environmentSolve complex problems using terabyte size data setsApply of a variety of machine learning techniques to a business problem to arrive at optimal approachPartner with Product and Engineering teams to solve problems and identify trends and opportunitiesExplain and visualize results and algorithm performance to non-technical audiencesSupport the company's commitment to protect the integrity and confidentiality of systems and data.