Acceleration | Snr Data Scientist
Description
Acceleration Australia & New Zealand
About us
Acceleration is WPP’s specialist practice for data, analytics & technology consulting. We are a
curious team of highly skilled data and technology practitioners, inspired by experimentation
and new ideas. This is the lifeblood of the future-forward solutions we deliver, that empower
our clients to compete every day, in a dynamic environment. And it is the reason we have
become trusted advisors to CEOs, strategic partners to CMOs, and operational partners to
CIOs, around the globe.
We help clients leverage the power of data, analytics and technology to drive media
effectiveness. With access to expert consultancy services and a deep bench of specialised
skills, we deliver what marketers need to compete effectively, increase efficiency, and drive
growth. We are well known for our open, transparent, and honest relationships with clients. We
identify opportunities for innovation while remaining firmly grounded in business reality. We
demystify complex tasks and impart knowledge without hype or pretence, and we shape
marketing ecosystems to drive growth through the intelligent application of data and
technology. Most importantly, we speak in specifics and get the job done.
The Role
We’re looking for a passionate and talented Data Scientist to join our rapidly growing and
ambitious team.
The Marketing Science arm of Acceleration, a division of WPP, is driving the future of
marketing, and you will affect real business outcomes for our clients. You will work with teams
across the group to provide data-driven insights and solutions that help our clients make more
effective marketing decisions.
You’ll have the opportunity to apply your skills to understand business problems across a wide
variety of industries and deliver meaningful recommendations from data science/econometric
models, which measure how media contributes to sales.
Day-to-day, you’ll be hands-on developing statistical models to support predictive analytics
and deliver non-technical presentations to all levels of the business as well as technical
documentation to the wider team. You will play a central role in mentoring and up skilling our
ambitious and growing team.
Required Experience
- Candidates will have at least 7+ years’ experience delivering data science and advanced analytics solutions across a range of sectors. Ideally, this experience will be predominately gained working in the advertising and marketing sectors.
- An advanced quantitative degree in data science, computer science, applied mathematics, statistics, machine learning, or a related data centric field.
- A strong background in data science, statistical modelling, or econometrics with significant relevant experience providing advanced analytics solutions to a variety of business situations and a proven ability to synthesize complex data; as well as a deep understanding of modern machine learning techniques
- Experience in statistical modelling and machine learning techniques (feature engineering, regression, classification, segmentation, cross validation, Bayesian techniques etc.)
- Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
- Strong programming skills in Python &/or R and SQL
- Proficiency in at least one cloud stack such as GCP, AWS, Azure. GCP preferred.
- Proficiency in dealing with large datasets
Preferred Experience (desirable but not essential)
- Practical experience of market mix modelling projects, within the advertising industry
- Previous experience with Digital Attribution for a media related industry
- Working knowledge of infrastructure as code tools (i.e. Terraform, CloudFormation) is an advantage.
- Experience constructing digital reporting dashboards, and strong understanding of digital media and platforms, i.e. ad servers, Facebook, Google Ads, Campaign Manager, DV360, etc.
- Experience with Tableau, Looker, Datorama and other business intelligence tools.