ob Description RESPONSIBILITIES • Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects. Develop visualization products to share analysis across a large group of business users. • Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources. • Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at clients to improve business decisions. • Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies. Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope. • Participate on cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables. QUALIFICATIONS • Bachelor's degree from an accredited college/university in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research or related fields. • Master's degree in data science, applied mathematics, or bioinformatics preferred. • Minimum 6 years relevant work experience (if Bachelor's degree) or minimum 3 years relevant work experience (if Master's degree) with a proven track record in driving value in a commercial setting using data science skills. • In-depth knowledge of various modeling algorithms e.g. Linear, GLMs, trees based models, neural networks, clustering, PCA, and time series models. • Proficiency in R (e.g. ggplot2, cluster, dplyr, caret), Python (e.g. pandas, scikit-learn, bokeh, nltk), Spark - MLlib, H20, or other statistical tools. • Minimum 2 years experience working in a data science or machine learning environment. • In-depth knowledge of databases, data modeling, Hadoop, and distributed computing frameworks. • Experience in software development environment, Agile, and code management/versioning (e.g. git). • Strong EDA skills and experience/knowledge. • Ability to understand complex and ambiguous business needs and applying the right tools and approaches. • Collaborative team player. • Excellent communication skills, both written and verbal. • Experience developing and testing machine learning and/or statistical projects. • Strong presentation skills. Ability to present statistical results to lay persons in an easy to understand way. • We are looking for all levels of data science experience, jr through sr.
