Data Scientist - Operations Research

Job Title: Data Scientist - Operations Research

Reporting to: Director of Optimisation and Data Science

Location: London, Paddington, United Kingdom

Job Type: Permanent, Full-time

Let’s step back a second - how do we say our name? Well, it sounds like ‘view’. It’s also a lot shorter than saying ‘Viewed Impressions for Out of Home’. We’re making it easy to sell and buy digital out of home (OOH) inventory. Our premium marketplace is connecting buyers and sellers, across the globe, simply.

We are working to transform the industry and we believe it’s important to connect OOH and digital advertising to deliver brand experiences and more meaningful outcomes for agencies and advertisers.

Join us as we build out the leading, global out of home (OOH) marketplace. Simply put, it’s our mission to make it easy to buy and sell OOH inventory.

Role OverVIOOH

We are looking for a Data Scientist to work on VIOOH’s advanced algorithms (branded as VIOOH Intelligence), which includes:

• A state-of-the-art proprietary allocation engine, capable of allocating bookings with multiple constraints (see https://gams.com/stories/viooh/) using mixed integer programming.
• Portfolio reallocation tools to optimise allocation between existing, new and future opportunities.
• Demand forecasts using machine learning to provide insights and recommendations to our media owners.
• Tailored pricing recommendations, from deal pricing to dynamic floor pricing based on demand forecast.
• An advanced yield reporting suite.

This is a hands-on technical role involving rapid prototyping, mathematical modelling, statistical analysis, programming, and optimisation.  If you enjoy solving interesting problems and making an impact on the business, then this role may be right for you.

What we want from you

The following are required -

• 3-5 years data science experience working on optimisation algorithms (linear/integer programming) or machine learning (forecasting), with some experience on both topics.
• Proven track record of designing and implementing production quality algorithms in Python utilising tools such as GIT and JIRA. 
• A master’s degree or PhD in applied mathematics, operations research, statistics, or a related field

The following are nice to have, but not required -

• A background in mathematical optimisation with experience in researching and developing algorithms for solving real-world problems
• Experience with:
• Optimisation modelling systems (e.g. GAMS) and solvers (e.g. CPLEX, GUROBI etc.)
• Dashboarding tools such as Tableau, Thoughtspot, Quicksight or Looker and proficiency in SQL
• DBT
• Jupyter notebooks
• Cloud services such as AWS (e.g., Sagemaker, Bedrock), Azure, or Google
• Media/advertising industry, consulting and/or client-facing experience