Director, Data Science
Remote
Full Time
#Technology
#Machine Learning
#SQL
#Python
#Cloud
#Java
At OpenX, we are dedicated to unlocking the full economic potential of digital media. We build sophisticated advertising marketplaces and technologies that deliver optimal value to publishers and advertisers across every screen. Our team is composed of experts in high-scale ad marketplaces, and we are constantly seeking creative, thoughtful individuals who are passionate about blending technical innovation with market design. If you are ready to help us push the frontiers of digital advertising, we would love to meet you.
Role at a glance
We are seeking a Director of Data Science to lead our Machine Learning team within the Engineering organization. This is a full-time, remote position that is schedule-centered in the US Eastern time zone. We are looking for an experienced leader who can partner with cross-functional teams to develop impactful ML products for our ad marketplace business.
Your impact
- Define the vision and strategy for Machine Learning, working closely with Product teams to execute a high-impact roadmap.
- Mentor and guide multiple teams of data scientists, fostering a culture of professional growth, inclusivity, and continuous innovation.
- Oversee the development of ML models and algorithms from inception to maturity, ensuring all solutions are scalable, validated, and delivered on time.
What you'll need
- A Ph.D. in Computer Science, Mathematics, Physics, Operations Research, or a related field, combined with at least 10 years of relevant experience.
- Deep expertise in the ad tech programmatic ecosystem, specifically regarding buyer-facing products.
- Proven success in building ML products that drive business results under tight deadlines.
- Advanced knowledge of ML techniques, particularly Deep Neural Networks designed for high-throughput, low-latency systems.
- Fluency in SQL and professional experience with Python.
- Excellent communication skills, with the ability to synthesize complex data sets and experimental results for diverse stakeholders.
- Familiarity with cloud platforms like GCP, AWS, or Azure is preferred, as is experience with Java or Golang.
Perks and compensation
- The flexibility of remote work.
