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.

With some of the best minds in adtech under our global roof, we bring industry-leading technology, a tradition of great service to our clients, and huge scale — across every format, from mobile to CTV. This allows us to build products that lead to greater reach for buyers and higher revenue for publishers — while solving some of the most intricate problems in digital marketing at large. That's the power of OpenX.

The data science team at OpenX is a dynamic and growing group of engineers and scientists who bring experience in modeling, operations, and reporting to both simulate and optimize all facets of our ad exchange as well as develop and deploy products to enhance it. We are seasoned story-tellers and tackle challenging large-scale data problems with a variety of methods.

About You

• You enjoy solving complex quantitative problems and are eager to work with tools and technologies that may be outside your comfort zone. 
• You enjoy working in an open and collaborative environment. 
• You are highly communicative, presenting relevant, concise, and empirically-driven information.
• You have the self-motivation to work independently but also know when to ask for help or guidance.
• You are highly driven but recognize when compromises are a more efficient solution.
• You are a dedicated software craftsperson who cares deeply about best practices and what it takes to write and maintain great code.

Responsibilities

• Extract and manage datasets from a big data framework to use for analyses and model training. 
• Assist in prototyping models, including model creation, training, and evaluation. 
• Implement training and real-time model evaluation architectures into production (in an existing codebase). 
• Run experiments to assess and report model performance in production settings. 

Requirements

• Working towards M.S. or Ph.D. in Computer Science, Statistics, Physics, Mathematics, Operations Research or related fields. 
• Experience with Python is strongly preferred, experience with SQL and Java is also desirable. 
• Robust knowledge of practical statistics and their application in machine learning.
• Familiarity with data analysis and machine learning/modeling techniques such as neural nets, gaussian processes, recommender systems, etc.
• Preferred experience with machine learning platforms and tools such as python/pandas or R, TensorFlow (strongly preferred) or PyTorch, etc.
• Experience using cloud platforms such as GCP or AWS, while not required, is also favorable.


*Initial Interviews to be scheduled for week of 4/15

$34 - $34 an hour

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 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 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.

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.

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 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.

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.

Applicants can review our Applicant Privacy Policy at any time by visiting the following link: https://www.openx.com/privacy-center/applicant-privacy-policy/.