About The Position

Thanks for checking out the Senior Director of AI position. 

Who are we?

  • Skai (formerly Kenshoo) is a leading omnichannel marketing platform that uniquely connects data and performance media for informed decisions, high efficiencies, and optimal returns. Its partners include Google, Meta, Amazon Ads, TikTok, Snapchat, Walmart Connect, Instacart, Roundel, Criteo, CitrusAd, Pinterest, Microsoft, LinkedIn, Apple Search Ads, and more.
  • We’re 700 employees strong and growing every day! ~$7 billion in ad spending is managed on the SkaiTM platform every year, driving hundreds of billions in commerce decisions and sales transactions.
  • Established in 2006, we are a thriving organization, with a unique startup culture, an incredible track record of success, and an amazing future in sight!
  • We are hybrid for the long term - with a great home/ office work mix, passionate and diverse team members, and a vibrant company culture.


What will you do?

  • As the Senior Director of AI in SKAI, you will lead and manage a group of applied data scientists, working closely with Engineering, Product and Customer Success leaders to create client-facing business value and contribute to strategic decision making and innovation through Machine Learning at the edge of technology.
  • Actively guide a diverse group to develop and deploy state of the art AI models, driving innovation and execution within set timelines and quality, proactively addressing obstacles and fostering a culture of continuous improvement.
  • Partner and collaborate effectively with key stakeholders in a dynamic environment, ensuring team alignment, prioritization of efforts, and strategy execution. Your collaborative leadership will be pivotal in driving our shared goals.
  • Lead all talent management aspects of the group, such as hiring, reviews, mentoring, promotions etc.
  • Member of the Skai Engineering management team, contributing and leading cross organization activities and helping to drive for better efficiency, productivity, collaboration and innovation.

Requirements

What do you need?

  • MSc/PhD in Computer Science, Mathematics, Statistics, Physics or related fields, with at least 5 years of relevant hands-on data science experience.
  • 3+ years of leading a large data science group, including managing managers.
  • Possessing high business acumen and communication skills, enabling you to translate ML-driven innovations into tangible product enhancements and solutions that resonate with product requirements and client needs.
  • Proven track record of taking proof of concepts into high scale production level solutions in a cloud platform environment (AWS is an advantage).
  • Demonstrated visionary and decisive leadership, with a proven track record of inspiring your team and the broader organization to embrace new technologies and methodologies.
  • Significant experience with one or more of the following areas:
  • Time series modeling and analysis, bayesian modeling, deep Learning (Tensorflow/Keras/pyTorch), cloud services for ML development (SageMaker).
  • Production engineering and software development practices.

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