Data Science Specialist

3 weeks ago


Bellevue, Washington, United States Resulticks Full time

At Resulticks, we are seeking a skilled Data Scientist to join our team. As a Data Scientist, you will be working with large, complex data sets and solving problems by applying advanced analytical methods. This role involves conducting end-to-end analysis, developing comprehensive understanding of data structures and metrics, and advocating for change where needed.

About the Role:

  • You will work with large, complex data sets and solve problems by applying advanced analytical methods.
  • Conduct end-to-end analysis which includes data gathering, processing, visualization, etc.
  • Develop comprehensive understanding of data structures and metrics, advocating for change where needed.
  • Build and prototype analysis pipelines iteratively to provide insights at scale.
  • Work closely with engineers to identify opportunities for improved design and suggest improvements to products.
  • Make business recommendations by presenting your findings to multiple levels of stakeholders.
  • Research and develop forecasting, and optimization methods to improve the quality of our user-facing products.
  • Interact cross-functionally with a wide variety of people and teams.

Requirements:

  • 5 years of relevant work experience in data science.
  • Proficiency with data mining, mathematics, and statistical analysis.
  • Experience with Tableau, SQL, Excel, PowerPoint, and programming languages.
  • Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects.

Benefits:

  • A competitive salary range of $120,000 - $160,000 per year, depending on experience.
  • The opportunity to work with a talented team of professionals who are passionate about delivering exceptional results.
  • A collaborative and dynamic work environment that encourages innovation and creativity.
  • A comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off.


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