Responsibilities
Build pragmatic, scalable, and statistically rigorous solutions to mission critical inferential and decision problems by leveraging or developing state of the art statistical and machine learning methodologies on top of VO’s TV data infrastructure.
Apply excellent communication skills in order to develop cross-functional partnerships throughout the company and spread scientific best practices.
Be able to work both independently and collaboratively with other scientists, engineers, designers, UX researchers, and product managers to accomplish challenging tasks that deliver demonstrable value to the company.
Think creatively and proactively to identify new opportunities within our long term roadmap for data-scientific contributions.
Minimum Qualification
M.Sc. degree in computer science, mathematics, statistics, or related fields with at least 4 years of relevant experience.
Experience in machine learning, statistical analysis and deep learning.
Proven record for successful implementation of translating business requirements
into a technical solution.
Experience with data analysis using tools such as R or Python, with packages such as NumPy, SciPy, pandas, scikit-learn, tensorflow, tidyverse (dplyr, ggplot2, etc.) and in SQL/NoSQL databases .
Ability to initiate and drive research projects to completion with minimal guidance.
The ability to communicate scientific work in a clear and effective manner.
Team player, ability to handle several tasks simultaneously.
Spark and big data technologies experience – an advantage.
Proficiency in English – a must
