iSpot - Data Scientist
Requirements
• Probability and Statistics for Data Science • Computational Linear Algebra • Natural Language Processing • Machine Learning • Analyzing and manipulating large and messy or complex data • Python, PySpark or Spark • 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. • Salary Range: $112,807 to $142,010 USD annually
Responsibilities
• You will be responsible for a variety of critical tasks, including: • 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.
Benefits
• We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot’s equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. • For more information on total rewards package, go HERE • Flexible Workplace Policy: • 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. • If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!
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