Open Opportunity

VP of Data Science Engineering

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Company Overview:

We are a technology company that transforms the way brands and agencies make
marketing decisions. Our Marketing Platform enables marketers to plan and activate
cross-channel, programmatic media campaigns using real-time market research,
proprietary audience data, advanced analytics, and more than 150 integrated partners,
including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company
operates across North America, Europe, Middle East, Asia and Australia.

Position Summary:

The VP of Data Science Engineering is the leader for our Applied Science Group. You’ll
define, lead and evangelize groundbreaking solutions leveraging the suite of our Data
Science offerings. We build inferential and predictive models, leveraging machine
learning algorithms and AI; we process, integrate and manipulate big data with
distributed systems and customer data pipelines; we synthesize results and translate
findings into compelling stories that resonate with clients.
Our mission is to use hard data and science to make quantum leap improvements in the
performance of online ads, enhance the user experience, enable efficient marketplaces,
and improve the overall economics of online advertising.
Your team would be responsible for research and inventing the next generation
prediction, optimization, and analytics technology. Focusing on the future, our R&D
team is building the next generation of digital advertising technologies that power
billions of ad impressions every month. We are constantly innovating – creating and
applying technologies in exciting cutting-edge areas: machine learning, constrained
optimization, control systems, auction theory, game theory, collaborative filtering,
experimental design, and information retrieval to name a few. You will work in a
collaborative environment with your team providing and implementing solutions to the
unthinkable and doing this at scale.

Responsibilities:

  • Develop a deep understanding of our business, product offerings and Ad-Tech landscape.
  • Work with product and software engineering teams to manage the integration of
  • successful models and algorithms in complex, real-time production systems at
  • very large scale.
  • Manage the design, development, and evaluation of highly innovative, scalable models and algorithms
  • Lead a team that advances long-term, exploratory research projects in machine learning and related fields to create highly innovative customer experiences.
  • Acquire, develop and retain highly skilled data engineers and data scientists, while creating a collaborative work environment the encourages innovation.
  • Develop and manage the long-term vision and portfolio of research initiatives for your team.
  • Share knowledge, debate techniques, and conduct research to advance the collective knowledge and skills of our Data Science practice.
  • Collaborate with external data technology vendors to leverage their capabilities, while balancing it with in-house capabilities.
  • Define standards for data modeling, toolsets, technology architecture and frameworks.
  • Ensure that our production data applications and build pipelines are performant, reliable, responsiveness, maintainable and of high quality with minimal tech debt.
  • Synthesizing complex, technical concepts and outputs into compelling story lines that resonate with a variety of technical and non-technical audiences.

Qualifications

  • Ph.D. in Computer Science (Machine Learning, AI, Statistics, or equivalent)
  • 10+ years of practical experience applying ML to solve complex problems for applications handling large datasets.
  • 8+ years statistical modeling & machine learning, with at least 5 + years managing teams of 15+ Machine Learning Scientists, Engineers, Data engineers, Data Scientist, and Engineering managers.
  • 3+ years developing technology for programmatic platforms.
  • 2+ years’ experience in the Digital Marketing/Ad-Tech industry.
  • Extensive knowledge and practical experience in several of the following areas: machine learning, NLP, deep learning, recommendation systems, dialogue systems, information retrieval, data mining, statistical modeling, optimization, algorithms, big-data.
  • Ability to clarify customer requirements into problem definitions, dealing with ambiguity and competing objectives.
  • Ability to manage and quantify the improvement in customer experience or value for the business resulting from research outcomes.
  • Experience hiring and leading experienced scientists as well as a successful record of developing junior members from academia/industry to a successful career track.
  • Strong statistical/math/analytical abilities.
  • Exceptional problem-solving skills.
  • Track record of scientific publications in premier journals and conferences.
  • Skilled with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language.
  • Project management experience for working on cross-functional projects.
  • Proven achievements of developing and managing a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated in production systems.
  • Superior business acumen, verbal and written communication skills, and ability to convey rigorous mathematical concepts and considerations to non-experts.