Data Scientist - Intern

Key Skills

AWS, Big Data Technology, Cloud computing, Data Analytics, Data Modeling, Gaussian Process, Google Cloud Platform (GCP), Java Programming, Machine learning techniques, Neural Networks, Python Programming, PyTorch, R Programming, Recommendation Systems, SQL, Statistical modeling, TensorFlow

Job Description

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.

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.

Key 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 field.
• Experience with Python is strongly preferred, and experience with SQL and Java is also desirable.
• Familiarity with data analysis and machine learning/modeling techniques including neural nets, gaussian processes, recommender systems, etc; robust knowledge of practical statistics and their application in machine learning.
• 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.

$30 - $35 an hour

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, New York Fair Chance Act, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

OpenX is committed to fair and equitable compensation practices. For applicants in New York, New Jersey, California, and Colorado, the pay range is $30 - $35 per hour. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, and certifications. The pay range may differ in other states.

A candidate’s salary is determined by various factors including, but not limited to, relevant experience, skills, and certifications.