Data Scientist, Experimentation
Rokt, Australia
Job Description
Who we are
With its headquarters in NYC, a major Ramp;D hub in Sydney, and operating in 16 markets globally, Rokt is expanding rapidly. As the global leader in e-commerce technology, Rokt powers the Transaction Moment of best-in-class companies including Live Nation, Groupon, Staples, Lands' End, Fanatics, GoDaddy, Vistaprint, and HelloFresh. Our mission: To make e-commerce smarter, faster, and better.
With annual revenues of more than US$100M and a vibrant company culture, Rokt has been listed in ‘Great Places to Work’ in US and Australia. Our award-winning culture is guided by our four core values: Smart with Humility, Customer Obsessed, Conquer New Frontiers, and Enjoy the Ride. These values help us attract, engage, and develop the right talent around the globe and ensure we have the right conditions to do our best work.
Keen to join a fast-growing company and a vibrant culture? Learn more at rokt.com.
The Engineering team at Rokt is focused on building amazing experiences and solving complex problems. Our group of Engineers collaborate effectively to build great features for our customers, an awesome experience for the end user, whilst protecting and respecting user data and privacy.
This role is to join a multidisciplinary team of software engineers and data scientists and help build and manage the systems that facilitate efficient and trustworthy experimentation across the millions of consumer interactions across the Rokt global network. These systems enable our partners, marketplace brands and internal teams to scientifically surface insights into consumer behaviour, validate hypotheses, and steer strategic decisions, thereby creating a better consumer experience whilst driving towards a desired success outcome for the client.
The Experimentation platform is a new system created only 6 months ago, and recently broken out into a new team. In 2021 the team has multiple ambitious goals including building new features on A/B and multivariate testing, extending the utility of the platform with self-service, embedding advanced (frequentist and Bayesian) analytics and reporting, whilst maintaining service reliability. All these bring about interesting challenges that requires a special breed of passionate, inquisitive and pragmatic data scientists!
Responsibilities
- Designing and implementing trustworthy experiments to suit a range of requirements
- Maintaining integrity and reliability of experiments, and troubleshooting any issues impacting experiments
- Developing data pipelines to support the analysis and reporting of the experiment results
- Working together with the Product Manager, software engineers and other data scientists in an agile setting
- Being an experimentation evangelist, and growing organisational knowledge around experimentation methods
At Rokt we encourage autonomy; teams have complete ownership of their systems including building, running and monitoring. As such, you may be required to be on-call and respond to systems alerts should they arise.
Requirements
- 2+ year experience on applied experimentation, data science and or statistics
- Understanding of inferential statistics (frequentist and Bayesian) and experimental design
- BSc, MSc or above in a quantitative field, or similar experience
- Strong proficiency with Python and SQL
- Experience working in a Scrum or Kanban environment
- Prior experience building or using experimentation platforms
- Experience contributing to production systems and pipelines
- Experience in big data processing technologies such as Spark, Beam or Flink
- Experience working with Docker and Kubernetes environment in AWS, GCP or Azure
- Contributions to open source
Nice to Haves
- Python/SQL
- PostgreSQL/Redshift/ElasticSearch
- AWS (Cloudformation, Lambda, SNS, SQS, etc)
- Docker / Kubernetes
- Datadog
- Tableau/Zeppelin
Tech Stack
Benefits
- Work with the greatest talent in town. Our recruiting process is tough. We hold a high bar because we have a high performing, high-velocity culture - we only want the brightest and the best.
- Join a community. We believe the best