Data Scientist

About the role

We are seeking a Data Scientist to join our team. In this role, you will 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.

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.

Requirements

• Master's degree or foreign equivalent in Data Science, Mathematics, Statistics, or related quantitative field. 3.5 G.PA. or higher or foreign equivalent, including graduate coursework in:
• Probability and Statistics for Data Science
• Computational Linear Algebra
• Natural Language Processing
• Deep Learning
• Big Data, and
• Machine Learning
• 3 months of experience with the following:
• 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.
• Salary Range: $112,807 to $142,010 USD annually
• 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!
• California Residents applying for positions at

Benefits

Additional Information

Immigration / Work Authorization Notice: 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. iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle's hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great. About iSpot: At iSpot, we empower advertisers to measure the true impact of their TV and streaming campaigns-from concept through airing to conversion. Our fast, accurate, and actionable measurement and attribution solutions enable advertisers to evaluate creative effectiveness, optimize media plans, and attribute results across platforms, all while benchmarking against competitors and historical data. With real-time performance insights seamlessly integrated across linear and streaming TV, iSpot equips advertisers to make swift, confident decisions that drive impactful business results.

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