VP, Data Science, Machine Learning & Identity

Join Our Team as VP, Data Science, Machine Learning & Identity

Our highly-skilled development team in Copenhagen, creators of LiveIntent's industry-leading identity graph, is seeking a versatile VP, Data Science, Machine Learning & Identity. This exciting role is perfect for someone with a deep passion for formalism, heuristics, and algorithms, along with a solid understanding of software engineering.

About the Role

As a VP, Data Science, Machine Learning & Identity, you will play a crucial role in our dynamic and challenging environment. You'll be at the forefront of leveraging data, real-time auction dynamics, and machine learning to drive our business's success. This position offers rich opportunities for learning and experimentation. Our team is committed to exploring new solutions, technologies, and algorithms while maintaining a pragmatic approach in our choices.

LiveIntent Copenhagen is responsible for developing and deploying our data and batch processing infrastructure, analytics, and machine learning technologies, closely collaborating with our teams in New York and Berlin.

Key Responsibilities

• Define, execute, and lead data science, machine learning, and identity strategies.
• Advise senior leadership on data science and machine learning, focusing on ecosystem changes.
• Oversee, motivate, and coach a team of leads, data scientists, and engineers.
• Collaborate with other teams to establish and improve departmental standards and processes.
• Engage in all stages of development, from idea exchange to prototyping, testing, deployment, and maintenance.
• Lead the development process using a hybrid of agile methods and rapid prototyping.

Your Profile

We're looking for someone with:

• Professional experience in data analysis or software development and team leadership.
• An interest in translating real-world problems into mathematical models and algorithms.
• An educational background in Computer Science, Mathematics, Statistics, or Physics, ideally a PhD.
• Practical experience in areas such as classical statistics, data mining, ETL processing, machine learning, and data processing in MapReduce using Spark.
• Deep product knowledge in adtech or martech.
• Excellent communication skills to explain complex systems to both technical and non-technical stakeholders.

You should approach problems analytically and solutions pragmatically. Creativity, idea generation, and connecting ideas with data are crucial aspects of this role. You should be enthusiastic about understanding and tackling the company's problem areas and capable of communicating in English with our international teams.

About LiveIntent

LiveIntent is one of the world's largest people-based marketing platforms, connecting 2,500 publishing and advertising brands with over 250 million verified people every month. Our industry-leading identity graph, centered around anonymized email addresses, helps brands monetize, acquire, and retain real people, even in the absence of cookies. LiveIntent has over 250 employees worldwide, with offices in New York, Chicago, Berlin, and Copenhagen.

Originally a Danish startup in 2013, LiveIntent Copenhagen was acquired in November 2015. We develop and operate a real-time service that handles billions of requests globally and an offline, batch-oriented analytical data processing pipeline for data preparation.

What We Offer

We offer a dynamic and challenging environment where you will collaborate with top industry talents. You'll have the flexibility to experiment and dive into new technologies and algorithms while maintaining a pragmatic approach. We believe in freedom and flexibility under responsibility, allowing for adaptable office hours and the possibility of remote work.

Excited about this opportunity? Apply now! Join our small yet socially engaging office, where your personal profile is as important as your technical skills. We'd love to see your cover letter.

#LI-KK1. Additional information: Company name: LiveIntent. Job title: VP, Data Science, Machine Learning & Identity.