Data Scientist

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.

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.

Qualifications:

• 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

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.