Data Scientist

Implement industry-standard predictive modeling solutions. Analyze, manipulate, clean, and process large and messy data using predictive modeling solutions and cloud-based computing resources/infrastructure to scale and optimize data science tools and pipelines. Code original R/Python scripts, optimize current scripts, and develop analytical reports and models. Analyze and improve data methods and efficiencies across the team, including designing and implementing wrapper/tool/utility functions for automated tasks to be used by less-technical Analytics team members, and organize them into distributable, regularly maintained, and tested R/Python packages. Work independently or collaboratively on large and complex data science problems and analysis, including working with internal stakeholders and clients to develop analytical solutions within client context. Lead technical portion of client projects throughout the duration of their flight. Provide technical data science expertise to assist sales teams to build new business opportunities. Conduct in-depth research to improve multi-source data quality. Master's degree with a 3.5 G.PA. or higher or foreign equivalent in Data Science, Mathematics, Statistics, or related quantitative field, including graduate coursework in Probability and Statistics for Data Science, Computational Linear Algebra, Natural Language Processing, Deep Learning, Big Data, and Machine Learning. Three (3) months experience with: analyzing and manipulating large and messy or complex data; Python, PySpark or Spark; SQL; adapting/applying, and scaling of techniques in machine learning, deep learning, statistical analysis, reinforcement learning and/or time-series analysis; data visualization tasks; and ggplot2, Matplotlib, and/or Shiny. Demonstrated knowledge of Git command line or similar GitHub tools as shown by undergraduate/graduate coursework or experience. Location: iSpot supports a hybrid and flexible workplace. This position is designated to work

at our headquarter location in Bellevue, WA, coming in 1-3 days a week, or fully remote at a home office located anywhere in the U.S. Salary range: $112,807 to $142,010 USD annually. Our compensation packages for full-time roles consist of salary and equity in one of Seattle's hottest start-ups, as well as other standard benefits. Apply to: Jhulliethe Vargas, iSpot.tv, Inc., 3180 139th Ave SE, Bellevue, WA 98007 or jhulliethe.vargas@ispot.tv EOE. Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.