Job description
Job Title: Data Scientist
Reporting to: Optimisation Research/Data Science Lead
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 next generation optimisation, forecasting and yield management capabilities within the newly formed Data Products team. The candidate will work closely with the Product, Engineering, and Commercial teams and our clients to implement, test, and deploy new cutting edge technologies. 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 you'll be working on
- Implementing VIOOH's optimisation & yield management strategy
- Developing an optimisation model to allocate bookings within restricted time limits
- Working with clients to educate them on the benefits of new functionality and understanding their use cases
- Developing forecasting models to predict supply and demand using time series analysis, machine learning, etc
- Developing and surfacing pricing models for the media owners
- Working with the Product team to design, build, and integrate new data products into VIOOH's platform
- Collaborating with the design and front-end teams to build new "labs" versions of UIs which are linked to data science backends
- Partnering with the data analytics team to surface forecast model results and other complex datasets in dashboards
- Developing a suite of reporting products that give clients insight into the power of VIOOH's optimisation
- Innovation for our "labs" initiative
What we want from you
- At least 3 years' experience in developing forecasting, optimisation and yield management solutions in the media and advertising industries or other relevant data science experience
- A background in mathematical optimisation with experience in researching and developing algorithms for solving real-world problems
- Experience working in product-led SaaS companies and developing production quality algorithms
- Technical: experience with optimisation modelling systems (e.g. GAMS) and solvers (e.g. CPLEX, GUROBI etc.), Python, SQL, analytical software (e.g. R, MATLAB etc.), front-end development, unix/linux, AWS etc.
- Superb communication skills, both written and verbal
- Experience designing and executing client case studies is appreciated
- A self-starter who thrives in a fast-paced, dynamic startup environment
- Strong team spirit with eagerness to learn and help
- Logical thinker, with a real passion for solving customer challenges
- Collaborative and able to take a lead role communicating effectively with the technical team and sales and marketing
- Consulting and/or client-facing experience is appreciated
- A bachelor's or master's degree in applied mathematics, statistics, or a related field
Application overVIOOH
Our recruitment team will work hard to give you a positive experience throughout the process, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews through to your onboarding.
VIOOH is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity or any other basis as protected by applicable law.