Staff Data Scientist

OpenX; New York (NY); On-site; USD 195,500 - 218,500; Full time

Job summary

OpenX is looking for a Staff Data Scientist in New York to enhance our Data Science team. This role involves applying advanced machine learning and AI techniques on vast data sets to drive critical business outcomes. Responsibilities include architecting scalable ML systems and leading impactful data science initiatives. Master's or PhD level candidates with at least 6+ years of industry experience are preferred. The position offers a salary range of $195,500 - $218,500 annually.

Qualifications

• Ph.D. with 6+ years of experience or M.S./B.S. with 8+ years.
• Expertise in deep learning and production-grade ML systems.
• Strong skills in Python and SQL programming.

Responsibilities

• Architect scalable ML systems for the exchange.
• Lead cross-team data science initiatives.
• Mentor and develop senior data scientists.

Skills

Deep learning

Machine Learning (ML)

Python

SQL

Technical Leadership

Statistical techniques

Communication

Education

Ph.D. or Master's in Data Science or related field

Tools

TensorFlow

PyTorch

GCP/AWS/Azure

Kubeflow

Airflow

Job description

OpenX is seeking a Staff Data Scientist to join our Data Science team. The role involves working on hundreds of billions of ad requests daily, applying advanced machine learning, deep learning, and modern AI techniques to create value for customers.

Key Responsibilities

• Technical Leadership & Architecture
  • Architect robust, scalable, and maintainable ML systems for broad use across the exchange, spanning training pipelines, real-time inference, validation, and monitoring.
  • Serve as a go‑to expert in deep learning and related advanced data science domains, guiding method selection across adjacent areas.
  • Lead the evaluation and adoption of new AI/ML modeling techniques, frameworks, and research advancements relevant to OpenX’s marketplace problems.
  • Define and evolve technical standards and best practices within the domain, influencing broader adoption across the organization.
• Execution & Strategy
  • Identify and lead high‑impact, cross‑team data science initiatives such as improving bidding strategies, building new prediction systems, or redesigning experimentation frameworks.
  • In partnership with engineering and product leadership, drive the data science roadmap for a product area or platform capability.
  • Partner with product managers and commercial stakeholders to translate marketplace problems into data science solutions with measurable business outcomes.
  • Solve novel, ambiguous problems requiring innovation in methodology, algorithms, or feature engineering.
• Mentorship & Influence
  • Mentor and develop senior data scientists, supporting their growth toward broader technical leadership.
  • Raise the skills, impact, and scientific rigor of teams through guidance, architectural patterns, and strategic direction.
  • Communicate technical strategy and build consensus for complex decisions across senior leadership and cross‑functional teams.

Required Qualifications

• 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 relevant experience and a demonstrated track record of leading cross‑team technical strategy and delivering organization‑level impact.
• Deep expertise in deep learning and broad fluency across the modern ML toolkit, with strong familiarity with optimization methods; additional experience in areas such as causal inference or experimentation design is a plus.
• Proven ability to architect and deliver complex, production‑grade ML systems that operate at scale.
• Strong track record of nurturing DS/ML projects to maturity with significant business impact, including supporting and improving those systems beyond initial deployment.
• Mastery of probability and statistics, especially techniques that scale to massive datasets.
• Strong Python and SQL skills; experience with ML frameworks such as TensorFlow or PyTorch.
• Strong communication and presentation skills, including proficiency in conveying complex technical concepts to both technical and non‑technical audiences.
• Track record of cross‑team technical leadership and mentorship of senior data scientists and technical partners.

Desired Characteristics

• Experience developing, evaluating, or optimizing bidding algorithms for RTB environments.
• Experience working with a cloud platform like GCP/AWS/Azure, with emphasis on GCP and the Vertex AI platform.
• Experience with ML pipeline and orchestration tools such as TFX, Kubeflow, or Airflow.
• Familiarity with other programming languages such as Java and Go.
• Experience working in digital media, marketing technology, or advertising technology—especially in marketplace, auction, or exchange systems.
• Track record of setting technical standards or best practices adopted beyond a single team.
• Experience representing data science capabilities or strategy in cross‑functional forums.

$195,500 - $218,500 a year

Equal Employment Opportunity

OpenX is committed to equal employment opportunities. It is a fundamental principle at OpenX not to discriminate against employees or applicants for employment on any legally‑recognized basis including, but not limited to: age, race, creed, color, religion, national origin, sexual orientation, sex, disability, predisposing genetic characteristics, genetic information, military or veteran status, marital status, gender identity/transgender status, pregnancy, childbirth or related medical condition, and other protected characteristic as established by law.

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