Data Scientist: III (Senior)

Job Title: Data Scientist Location: Columbus, OH (4 days onsite, 1 day remote) Type: 3 Months Contract to hire Contract only W2 Responsibilities Performs advanced analytics methods to extract value from business data Performs large-scale experimentation and build data-driven models to answer business questions Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence Determines requirements that will be used to train and evolve deep learning models and algorithms Articulates a vision and roadmap for the exploitation of data as a valued corporate asset Influences product teams through presentation of data-based recommendations Evangelizes best practices to analytics and products teams Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring Skills Up-to-date knowledge of machine learning and data analytics tools and techniques Strong knowledge in predictive modeling methodology Experienced at leveraging both structured and unstructured data sources Willingness and ability to learn new technologies on the job Demonstrated ability to communicate complex results to technical and non-technical audiences Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines Strategic, intellectually curious thinker with focus on outcomes Professional image with the ability to form relationships across functions Strong experience with R/RStudio, Python, SAS, SQL, NoSQL • Strong experience with Cloud Machine Learning technologies (., AWS Sagemaker) • Strong experience with machine learning environments (., TensorFlow, scikit-learn, caret) Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Financial Services background preferred Experience 1-3 years' work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques. Education • Masters degree in computer science, statistics, economics, or related fields