Staff Data Scientist

This is a fully remote position, open to applicants in New York.

📋 Description

• Design and implement robust, scalable, and maintainable machine learning systems for widespread application throughout the exchange, including training pipelines, real-time inference, validation, and monitoring.

• Act as the primary expert in deep learning and advanced data science fields, possessing the knowledge to advise on method selection across related areas.

• Spearhead the assessment and integration of new AI/ML modeling techniques, frameworks, and research developments pertinent to OpenX’s marketplace challenges.

• Establish and advance technical standards and best practices within the domain, promoting broader adoption throughout the organization.

• Identify and lead impactful, cross-team data science initiatives, such as enhancing bidding strategies, developing new prediction systems, or overhauling experimentation frameworks.

• Collaborate with engineering and product leadership to steer the data science roadmap for a product area or platform capability.

• Work alongside product managers and commercial stakeholders to convert marketplace challenges into data science solutions that yield measurable business results.

• Tackle novel, ambiguous issues requiring innovative approaches in methodology, algorithms, or feature engineering.

• Mentor and cultivate senior data scientists, guiding them towards enhanced technical leadership.

• Elevate the skills, impact, and scientific rigor of surrounding teams through mentorship, architectural patterns, and strategic guidance.

• Articulate technical strategies and build consensus on complex decisions among senior leadership and cross-functional teams.

⛳️ Requirements

• Ph.D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or a related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ years of pertinent experience and a proven record of guiding cross-team technical strategy and delivering organization-wide impact.

• Extensive knowledge in deep learning and comprehensive fluency across the modern ML toolkit, with a strong understanding of optimization techniques; additional experience in causal inference or experimental design is advantageous.

• Demonstrated ability to design and implement complex, production-grade ML systems that function effectively at scale.

• Proven history of nurturing data science/machine learning projects to maturity with substantial business impact, including ongoing support and enhancement of those systems post-deployment.

• Expertise in probability and statistics, particularly techniques that can be applied to large datasets.

• Proficient in Python and SQL; experience with machine learning frameworks such as TensorFlow or PyTorch.

• Excellent communication and presentation skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.

• Established record of cross-team technical leadership and mentorship of senior data scientists and technical partners.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and flexible working arrangements.

• Opportunities for professional development and continuous learning.

• Collaborative and innovative work environment.