Data Scientist (Freelance)

  • Contract

Company Description

Bold. Results. Rauxa is the full-service agency helps brands such as Verizon, Alaska Airlines and Audi to grow and thrive through Personal Digital Transformation. Founded in 1999 and with a uniquely independent spirit, Rauxa is powered by a team of over 300 creators, technologists, scientists and practitioners with locations in New York, Los Angeles, San Francisco, Seattle, Orange County and Dallas. Rauxa is part of Publicis Media, one of four solution hubs within Publicis Groupe.

 

Job Description

We are seeing a Data Scientist to join our super smart Data Team for a freelance opportunity!  This is a temporary position with estimated duration of 4-6 months. 

The Data Scientist is part of a team that will help expand data driven advanced analytics by engineering solutions and products with data science with agility. The ideal candidate approaches solutions with creativity grounded in key business decisions for our client’s customers and our partners will further elevate Rauxa’s Data Science discipline.

Elevation includes solution design and execution of advanced analytical data exploration, mining, inference, models and systems utilizing multiple traditional and non-traditional media measurement data sets that empower marketers to make the right decisions and engage their customers with meaningful messaging.

What You’ll Do:   

  • Consult for and/or lead projects that encompass direct interaction with internal business clients and peers at external clients
  • Identify opportunities to use statistics and machine learning to create advanced analytics and value-added insights at scale
  • Have an impact on consumer scale datasets using the disciplines of data science, data engineering, and their application in marketing and advertising
  • Identify new opportunities to leverage data assets
  • Develop and deliver high-impact tools and insights comprised of aggregated data sets and advanced algorithms with a clean user experience
  • Drive the collection and manipulation of new data and the refinement of existing data sources
  • Grow Natural Language Processing, Deep Learning, Reinforcement Learning, capabilities for optimization
  • Apply time series analysis expertise to relevant challenges

Qualifications

Who You Are:   

  • You have a bachelor’s degree in Engineering, Math, Computer Science or another related technical fieldor equivalent work experience preferred
  • You have or more years of experience working in a fast-paced, high-tech or marketing agency environment
  • You have experience with tools and technologies enabling self-sufficiency in data analysis and modeling: R, Python, SQL, or other scripting languages
  • You have experience with statistical modeling and/or machine learning
  • You have experience publishing and or presenting work at a leading industry conference, journal or publication (plus)
  • You have expertise in cloud compute environments
  • You are proficient in statistical methods (i.e., parametric and non-parametric regression, time-series, panel data analysis, survival analysis, etc.) and machine learning techniques (i.e., methods of supervised and unsupervised learning such as clustering, regression, classification, ensemble methods, etc.)
  • You have a deep understanding of statistical/probabilistic analysis and linear algebra
  • You are team-oriented with a demonstrated aptitude and willingness to learn new methods and tools
  • You have strong communication skills including ability to develop presentations and present insights and recommendations
  • You have the ability to convey complicated problems, solutions, processes and systems to all levels of the organization
  • You have the ability to work in a flexible, dynamic and fast-paced team and client service environment
  • You are able to move fast and manage multiple priorities across a mix of ad-hoc and operational projects.

Sound like you? We'd love to hear from you!

Additional Information

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