Vacancy expired!
Our direct client is one of the largest food and drug retailers with 2,300+ stores. Includes some of the most prominent brands in food retailing, with a growing base of loyal shoppers. They are currently in urgent need of a Software Engineer Ads Measurement. This is a 6 to 12 Months Contract role. The position is remote for now till Covid. Post-Covid, it will be onsite at Pleasanton, CA The Digital Marketing IT Department has an opening for a Software Engineer, Ads Measurement to support the Shopper Marketing program. Position Purpose Help to build client's Adtech Ecosystem and deliver on a multi-year roadmap that delivers new and optimized digital marketing advertising solutions. Looking for people who are interested in re-imagining the grocery experience by harnessing with the power of digital technologies. Software engineer in Ads Measurement team will be responsible for creating insights that allow the advertisers to optimize their marketing spend, as well as providing real-time signals necessary to run ads eco system at scale. Key Responsibilities include, but are not limited to:
- Define data requirements in collaboration with digital, marketing, and external teams.
- Work closely with our product managers and data analysts to build state of the art Ads measurement solution.
- Design, Manage and Orchestrate solutions for Attribution, Measurement and Optimization - Online Conversion Attribution, Brand Lift, Multi-channel attribution, Incremental sales lift.
- Build and improve the machine learning models for ads measurement within Liveramp's Analytics workbench.
- Develop models for user matching and conversion attributions.
- Develop new techniques to mine the offsite signals to drive ads performance, e.g., retargeting
- Work on large scale data systems, backend services, and product integration
- Analyze/understand defined segments, customer behavior, and customer journeys to inform audience segmentation strategy.
- Flexibility and ability to work collaboratively within matrices, 'virtual' and flat environments.
- Experience operating an identity solution (Preferably Liveramp).
- Bachelor's Degree in Information Systems, Computer Science, a related field, or equivalent experience
- 5 - 7 years experience implementing Analytics solutions
- 2+ years experience with hardcore statistical modeling, predictive modeling
- Knowledge of R, SQL, and Python is a must; familiarity with Scala is an asset
- Experience using business intelligence tools (e.g. Tableau)
- Knowledge of data mining, machine learning, natural language processing is a must (e.g. Regression models, Monte Carlo simulation, Random Forest, k-NN, Na ve Bayes, Support Vector Machine, Unsupervised learning, etc.)
- Well-organized, detail-oriented, has great communication skills, and thrives in a fast-paced environment.
- Must have experience integrating marketing automation systems (Google DoubleClick/DV360, SA360, and GA) and integrating those systems with other technologies
- Must have experience in attribution and measurement solutions in the AdTech ecosystem.
- Must understand Data Clean rooms.
- Understanding of Ad Servers, DMPs, DSPs, CDPs, and campaign management solutions is highly preferred.
- Experience working in cloud environments (Azure, Google, AWS) and container-based architecture.
- Experience with build pipelines (Jenkins) and software build tools (python packaging, sbt, Gradle)
Vacancy expired!