OpenX is seeking a Senior Data Scientist IV to join their Data Science Org, focusing on optimizing digital advertising markets and technologies.
The role involves processing hundreds of billions of ad requests daily, requiring advanced applications of sophisticated models, deep learning, and novel platforms.
Candidates should have experience with systems that integrate deep learning, optimization, and statistical insights to enhance business outcomes.
The ideal candidate will construct models for high-dimensional data sets and translate business requests into Data Science/ML problems.
Responsibilities include extracting data from large datasets, developing ML pipelines, constructing novel model types, guiding projects from inception to production, and coordinating with team members on ML model deployment.
Requirements:
A Master's degree with 7+ years of relevant experience or a Ph.D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or a related field with 4+ years of relevant experience is required.
Extensive experience with various modeling methodologies, including deep learning and ML techniques, particularly in TensorFlow and its applications.
A strong track record of nurturing Data Science/ML projects to maturity with significant business impact and supporting those projects post-deployment is essential.
Mastery of probability and statistics, especially techniques that scale to massive datasets, is required.
Strong communication and presentation skills are necessary, with proficiency in analyzing and summarizing key points from data sets or experimental results.
Benefits:
The position offers an employment contract with a salary range of 24,437 - 27,300 PLN gross/monthly or a B2B option at 190 - 213 PLN net/hourly.
Employees will work with the latest technologies, including Cloud Computing (GCP), and face unique challenges in their work.
Flexible working hours and remote work options are available.
Additional benefits include an annual performance bonus, tax-deductible system due to copyright protection, private health care for employees and their families, private life and travel insurance, and a MultiKafeteria program.
Employees have access to training through the LinkedIn learning platform and tech workshops, a holiday allowance, a pension scheme, additional paid days off, free parking, and a peer-to-peer recognition platform.
A monthly work-from-home allowance and a one-time payment for home office setup are also provided, along with celebrations for team members' important personal milestones.
