Magnolia, Seattle, WA 98199, USA
Digital Intelligence Systems (DISYS) has been engaged to identify a motivated and savvy Senior Data Scientist for a Full Time, Direct Hire initiative with an exciting R team in San Jose, California or Austin, Texas. The Data Science team works to incorporate advanced analytics into a specialized industry. The ideal candidate will have a mix of skills including engineering best practices, statistical expertise, and a strong business sense. Your work could vary from building a recommendation model that finds someone the perfect vehicle, to identifying which parts on a vehicle are likely to fail and when. Your responsibilities will extend beyond modeling to the entire data science pipeline, including building out the data lake with new sources, performing exploratory analysis, building pipelines to transform data, and providing summary results to business leaders. The data science efforts are still in their early stages; consequently, you will play a critical role designing the analytics science infrastructure. You will need to take initiative and be capable of finding solutions where there is no clear path forward. Prerequisites: Bachelor’s degree in a quantitative field; 3 to 5 years of experience as a data scientist; Expertise with Python, including the data science stack (Pandas, Numpy, Scikit-learn); Background in a variety of modeling techniques including recommendation systems, neural networks, XGBoost, NLP, and time-series forecasting; Expertise using SQL for querying data; Cloud experience, AWS preferred; Proficient using Docker to deploy machine learning solutions; Experience exposing data science solutions as REST APIs and Batch processes; Familiar with big data technologies: Hadoop, Spark, and Hive; Experience with version control systems, CI/CD pipelines, and Agile workflow; Ability to take ill-defined business problems and translate them into actionable plans; Comfort with ambiguity and ability to act under uncertainty; Ability to communicate with engineers, data scientists, and nontechnical audiences. Preferred Skills: Graduate degree in a quantitative field; Experience with NoSQL databases; Experience with streaming data and analytics using Kafka, Spark Streaming, or equivalent system. For more information regarding this exciting career venture, please contact Nicole Foster at 925.788.5655. Thank you for your interestDigital Intelligence Systems, LLC (DISYS) will consider for employment all qualified applicants in a manner consistent with the requirements of applicable state and local laws, and an arrest or conviction will not automatically disqualify a qualified applicant from consideration from employment.Employer’s Job DISYUS306138BULLHORNEXTERNALPlease visit job URL for more information about this opening and to view EOE statement.