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Senior Data Scientist
Company Overview
An American multinational technology company specializes in real-time programmatic marketing automation technologies, products, and services. Founded in 2009, the company provides a self-service, cloud-based platform that allows ad buyers to create, manage, and optimize data-driven digital advertising campaigns across various formats and devices.
WHAT YOU WILL BE DOING:
· Be an intellectually generous and collaborative team member
· Develop end-to-end machine learning prototypes that could scale to run in a production environment
· Contribute meaningful improvements to existing machine learning models through carefully directed research
· Maintain a focus on shipping product, understanding that oftentimes done is better than perfect
· Derive actionable insights from massive data sets with minimal support
· Provide input into the collection of new data sources and the refinement of existing ones to improve analysis and model development
· Become an expert on the client-facing platform
WHAT YOU BRING TO THE TABLE:
NON-TECHNICAL QUALIFICATIONS:
· The candidate is enthusiastic to learn (and teach) new technologies, machine learning techniques, and advancements in the adtech industry.
· The candidate is comfortable working on an agile, distributed team spanning multiple time zones and continents.
· The candidate has an abundance of intellectual curiosity.
· The candidate is able to deliver a convincing story derived from the data sets to both a technical and non-technical audiences.
· The candidate has experience working closely with an engineering team to bring ideas into real product.
· Experience in digital advertising and/or recommendation system, relevant experience in recall / ranking is a plus.
TECHNICAL QUALIFICATIONS:
· A relevant scientific and mathematical education (Masters and/or PhD welcome) with 5+ years of professional or academic experience in a data driven role working with massive data sets.
· The candidate has a solid understanding of statistical machine learning and optimization techniques as well as the ability to derive actionable insights from massive data sets.
The candidate has experience with recall/matching/retrieval algorithms.
The candidate has experience in Adtech or recommendation systems. · The candidate is familiar with one of the deep learning frameworks (e.g., Tensorflow, Pytorch, MXNet), knowledge of inference optimization is a plus. · The candidate has experience with big data technologies such as Spark, AWS, Hadoop, Hive and is able to write efficient SQL. · The candidate has experience in multiple programming languages (Python, R, Scala, Java, etc.) and is fluent at some selections of those.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
No Client Relationship: This company is not a client of SpringCube unless stated.
To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
No Liability: SpringCube is not liable for inaccuracies.
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