Staff Data Scientist

· Remote

Location

Remote

Type

Full Time

Job Description

OpenX TechnologiesJobs
Staff Data Scientist

Staff Data Scientist

Posted Yesterday
Easy Apply
Hiring Remotely in New York NY USA
Remote or Hybrid
196K-219K Annually
Senior level
AdTech • Enterprise Web • Information Technology • Machine Learning • Marketing Tech • Sales
OpenX is an ad tech company that drives optimal value for advertisers through high-scale marketplaces across all screens
The Role
As a Staff Data Scientist you will lead complex marketplace problem-solving architect ML systems mentor teams and drive data science strategy in partnership with engineering and product management.
Summary Generated by Built In
Company at a Glance
OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens.

At OpenX we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces and we are constantly on the lookout for thoughtful creative executors who are as fascinated as we are about finding new ways to apply a blend of market design technical innovation operational excellence and empathetic partner service to the frontiers of digital advertising.

OpenX is seeking a Staff Data Scientist to join our Data Science team. Our exchange processes hundreds of billions of ad requests daily and generates petabytes of data requiring advanced machine learning deep learning and modern AI techniques delivered through scalable platforms to create value for customers.

A Staff Data Scientist is a senior technical leader whose impact spans multiple teams and business domains. In this role you will solve complex marketplace problems set technical direction for your domain architect major ML systems mentor other scientists and partner with engineering and product leaders on data-driven strategy.

Problems at this level include auction and marketplace optimization bidding and yield strategy relevance and prediction systems at exchange scale causal measurement of marketplace changes and capabilities for training validating and monitoring ML systems in production.
The ideal candidate brings deep expertise in applied machine learning strong judgment in selecting methods for business problems at scale and a track record of translating business needs into high-impact data science solutions.

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 with the breadth to guide 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 their 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 helping them grow toward broader technical leadership
  • Raise the skills impact and scientific rigor of teams around them 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 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

OpenX VALUES
Our five company values form a solid bedrock serving to define us as a group and guide the company. Our values remind us that how we do things often matters as much as what we do.

WE ARE ONE
We are one team. There are no exceptions. We are a group of strong and diverse individuals unified by a shared mission. We embrace challenges and win together as a team. We respect and care about our colleagues and cultivate an inclusive culture

WE ARE CUSTOMER CENTRIC
We innovate on behalf of our customers. We understand respect and listen carefully to our customers. We build great products to solve our customers’ problems. We manage our customers’ expectations clearly and honestly. We are a trusted partner to all of our customers - we act with integrity at all times. We care.

OPENX IS OURS
We are all owners of OpenX
We all have a voice to improve OpenX
We stake our personal and professional reputations on the excellence of our work
We are not interested in just "doing our jobs"; we take ownership to drive results

WE ARE AN OPEN BOOK
We understand and respect what each of us does. We are eager to teach and share what we know with others both internally and externally. We are eager to learn from others and we ask questions internally and externally. 

WE EVOLVE FAST
We take responsible risks and own and learn from our mistakes. We recognize and repeat success. We actively seek out and provide constructive feedback. We adapt quickly and embrace change. We tackle growth and learning with real urgency. We are endlessly curious.

OpenX TRAITS
Our three traits capture what makes a great team member at OpenX.

HUMBLE
Ideal team players are humble and demonstrate integrity. They put the team's success above their own share credit generously and value collective achievements. They are self-assured open to coaching and committed to continuous learning.

DRIVEN
Ideal team players are results-driven and motivated. They are curious always seeking more to do learn and take on. As proactive problem-solvers they take initiative without needing external motivation. They continuously think about the next steps and opportunities for improvement.

SMART
Ideal team players are smart and possess the intellectual acumen to understand the complexities of our organization and industry. They are interpersonally intelligent good communicators and exemplify sound judgment in their interactions across the company to foster a collaborative environment.

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.

OpenX Applicant Privacy Policy
Applicants can review our Applicant Privacy Policy at any time by visiting the following link: https://www.openx.com/privacy-center/applicant-privacy-policy/.
Effective Date of the Privacy Policy: November 21 2024

Skills Required

  • Ph.D. in relevant technical field with 6+ years experience or M.S./B.S. with 8+ years experience
  • Deep expertise in deep learning and machine learning
  • Proven ability to architect and deliver production-grade ML systems
  • Strong Python and SQL skills
  • Experience with ML frameworks such as TensorFlow or PyTorch
  • Strong communication and presentation skills
  • Track record of cross-team technical leadership

What the Team is Saying

Cassie Nufable
Ben White
Nathan Rideout-Cadieux
Cheryl Tan
Alexa Ofsanko
Qixuan Yu

OpenX Technologies Compensation & Benefits Highlights

  • Healthcare StrengthHealth coverage is described as comprehensive across medical dental and vision with immediate eligibility and dedicated mental-health support such as employer-paid therapy and coaching. Feedback suggests multiple plan options and strong employer contributions enhance perceived value.
  • Parental & Family SupportPolicies include fully paid leave for birthing non-birthing and adoptive parents along with family-formation and caregiving support. Family medical leave and region-appropriate programs further reinforce this pillar.
  • Wellbeing & Lifestyle BenefitsA remote-first model pairs with home-office and wellness stipends flexible scheduling and company-wide recharge days. Additional lifestyle programs such as fitness support volunteering and workplace extras contribute to everyday experience.

OpenX Technologies Insights

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The Company
HQ: Pasadena CA
420 Employees
Year Founded: 2007

What We Do

OpenX is The Intelligent SSP™ (supply-side platform) simplifying advertising for marketers advertisers and publishers worldwide. As one of the largest SSPs globally OpenX combines the industry’s only fully cloud-based infrastructure with leading AI capabilities to make digital advertising easier and more effective across every format including CTV. Built to responsibly deliver quality performance and adaptability OpenX makes digital advertising safer smarter and built for what’s next. Learn more at www.openx.com.

Why Work With Us

At OpenX we value curiosity innovation and diversity. We are passionate about pushing the boundaries of ad tech and finding new ways to deliver value to our partners and we know our best chance of delivering is by creating diverse and inclusive teams where employees can do their best work being their authentic selves.

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OpenX Technologies Offices

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Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
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New York NY
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Date Posted

05/13/2026

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