Sr. Data Scientist Job in Webyops Inc

Roles & Responsibilities Design and develop end to end statistical/AI/ML model and deploy in production. Exploratory Data Analysis (EDA), variables selection/elimination, model validation etc. Undertake preprocessing of structured and unstructured data. Analyze large amounts of information to discover trends and patterns. Present information using data visualization techniques. Propose solutions and strategies to business challenges. Collaborate with engineering and product development teams. Desired Skills Strong understanding of data structures and modeling. Demonstrated ability to interact with Functional Analysts, Project Managers, ETL developers, and end users regarding data needs. Able to develop hypothesis and validate/testing with data. Knowledge of SQL and Python. Proficiency and application experience in data architecture, data visualization and reporting. Familiar with Hive, Spark, Db Visualizer, Alteryx, Tableau, Omniture, Anaconda etc. Familiar with Microsoft Office products. Qualifications At least 7 years experience in an open-source programming role in the context of predictive and prescriptive analytics, or decision science. Proven experience as a Data Scientist, Statistical Modeling, AI/ML, Operations Research. Experience with statistical algorithms such as linear and logistic regression, decision trees, neural networks, random forests, gradient boosting, SVM, etc. and their applications in a retail environment. Experience with statistical computer languages (SQL, R, Python, etc). Experience deploying above described algorithms on large data sets. Strong experience with programming languages in various combinations: SQL, Python, R, SAS, SPSS, Java, Javascript, C, C++. Bachelor s Degree in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.