Data Scientist

We are looking for an experienced data scientist with strong business acumen to join our rapidly growing Business Intelligence team. This role will have high visibility within the company, partnering with product, marketing, business development, and engineering teams. You will work with large volumes of social engagement and transaction data from with intent of discovering trends, analyzing patterns, as well as providing ad-hoc exploration to make ambiguous data actionable. Your work will impact new product ideation, marketing and engineering improvements, better our customer experience, and impact strategic decisions.

Department: Technology
Project Location(s): Las Vegas, NV, US
Education: Bachelors
Compensation: 100k+


  • Process, cleanse and verify the integrity of collected data
  • Create anomaly detection systems for inbound data
  • Evaluate, create and refine algorithms to optimize site performance metrics
  • Partner with various stakeholders to understand and translate business needs into actionable models
  • Use machine learning, natural language processing, and other techniques to help identify new and optimize existing business opportunities
  • Create, help execute, analyze and iterate on multi-variate tests across different mediums
  • Mentor other team members looking to improve their understanding of data science and modeling concepts
  • Champion data collection and accuracy standards across the organization.


  • Proficient in data extraction using SQL, flat files, document stores, NoSQL, and other repositories
  • Strong understanding of machine learning techniques and algorithms (decision forests, collaborative filtering, boosting, feature scaling, dimensionality reduction, etc)
  • Able to quickly investigate, learn and master new data sets
  • Passionate about data and its importance to the success of an organization
  • Can communicate with various levels of stakeholders
  • Thrives in a team-based environment elevating all team members with their knowledge and improving own skills by learning from others
  • 2+ years of applied data science experience
  • 5+ years of experience in a data-related or engineering field
  • Experience with specialized modeling software (R, Python, Stata, SAS, etc)
  • Experience with web/mobile properties, types and volumes of data they generate
  • Experience with data visualization tools
  • Experience with large data processing systems (Hadoop/Spark, etc)
  • Experience with traditional web analytics platforms (Google Analytics, Adobe Analytics, Heap Analytics, etc)
  • Experience with Cloud vendor solutions, such as AWS Personalize, GCP, Azure or Databricks

For consideration Contact Us

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Bristol and Bates worked with the organization on many fronts in helping us scale. It is refreshing having a partner that understands our culture and values.

Seedbox Technologies
Charles Rousseaux, Co-founder, Vice President

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