Facebook pixel

Lead Data Scientist
Confirmed live in the last 24 hours
Northbrook, IL, USA • Remote • Chicago, IL, USA • Portland, OR...
Experience Level
Desired Skills
Apache Spark
Data Analysis
Data Science
Data Structures & Algorithms
Microsoft Azure
Natural Language Processing (NLP)
  • MS or PhD in Statistics, Mathematics, Data Science, Machine Learning, Computer Science, or related field
  • 2+ years of experience in analytics across ad technology, digital media and advertising. Experience in building media auction systems (RTB) preferred
  • 4+ years hands-on experience building and working with machine learning solutions. Ideally partnering across software engineering and product management teams to develop and scale new algorithms, features, and enhancements
  • Strong Python skills plus 4+ years of experience extracting and manipulating data from large, disparate data sources using big data and cloud technologies (Azure, Hadoop, Spark, Databricks and/or similar technologies)
  • Experience with one or more of the following: NLP, classification, pattern recognition, recommendation systems, targeting systems or similar
  • Strong interpersonal and communication skills including excellent verbal, written, presentation and consultation skills are required
  • Strong business acumen, analytical problem-solving and decision-making skills
  • Excellent attention to detail, organization skills and ability to work in a highly collaborative environment
  • Lead science research projects, ideation, and methodology work to enhance our media planning, optimization, and measurement science offerings
  • Collaborate with other research teams at 84.51° to vet application of advanced science techniques within the media business
  • Utilize your media data science experience to influence and drive advanced machine learning solutions into our platform and products. Think creatively when building science solutions in order to bring the most value to the user
  • Be a data science / analytics ambassador to our sales and product teams. Explain the how and why around our data science solutions through formal and informal training sessions and creation of documentation
  • Independently lead and manage projects, tasks, and stakeholders to ensure that projects are delivered on time, within budget and to brief specification
  • Mentor and develop junior data scientists on media insights interpretation, results delivery, and data science methodologies
  • As a data science champion, be a voice that helps improve and maintain and our position as industry leaders in media science capabilities
84.51 Degrees
Retail data science, insights, and media platform