Data Scientist - Recommendation Expert job at Rovi

Job Description

At Rovi, we connect people to the entertainment they love. Our products and services power some of the most iconic entertainment and technology brands around the world including Comcast, Samsung, iTunes and Pandora. Rovi is headquartered in Santa Clara, California with over 1,800 employees worldwide working to create a better entertainment experience. To learn more, watch The Rovi Story Rovi Corporation is a global B2B leader focused on revolutionizing the digital entertainment landscape by delivering software and data solutions to connect people to the movies, music and television they enjoy – anytime, anywhere.

130 million viewers use our interactive program guide technologies through cable and satellite service provider offerings. Customers include: Comcast, Cox, Charter, Time Warner Cable, AT&T, Verizon

Approximately 220 million consumer electronic (CE) devices use our CE-guide technologies including products by: Dell, LG, Motorola, Panasonic, Philips, Pioneer, RCA, Samsung, Siemens, and Sony

Rovi has information on over 3.6 million TV shows, 28 million tracks and 500,000 movie titles. Metadata customers include: Spotify, Shazaam, MOG, iTunes and Google.

Rovi’s Cloud services are revolutionizing the consumer electronics industry and service providers space by helping them drive sales and consumption with advanced media search and discovery capabilities.

Rovi Advertising Network reaches more than 40 million households globally and offers advertisers a platform to serve targeted interactive advertisements with high levels of engagement.

The Search & Recommendations group is looking to hire a Data Scientist / Research Engineer in a Consultant role for its software development team.

By joining Rovi's Search & Recommendations group you'll have the benefits of working for a large, public company while spending your days in a small, fast-paced and agile team. Our job is to build software to help people find movies and TV programs they'll like. We do large-scale data mining and apply cutting-edge algorithmic methods, but also sit around and debate whether Chris Cunningham is the most ingenious music video and short film director ever. We are very open to new approaches to recommendation technology and are looking for an experienced consultant who can hit the ground running.

The basic responsibilities for the job may include

Design, implement, and document core technology components
Develop custom applications using internal software frameworks
Develop and customize data mining and statistical techniques for operation on large datasets
Update, optimize, and administer large-scale data processing routines

Since we are currently engaging in a major product development offensive we are looking at battle-hardened practitioners. You will have worked on large-scale enterprise content and media recommender or information retrieval systems and personalization solutions deployed in the field.

Our ideal candidates are

Analytical. We want people who are able to evaluate situations that they have not encountered before and reason about them logically.
Creative. We want people who can go beyond a repertoire of standard solutions and answer novel challenges with innovative and outside-of-the-box solutions.
Practical. We want people who can find a balance between theory and practice to create solutions that are conceptually sound but also working and delivered on time.
Fast learners. We want people who can quickly understand new ideas and learn new technology.

Qualifications

Graduate degree in computer science, statistics, physics, econometrics, operations research or related field, post-graduate degree a plus
5+ years research / engineering work experience (full-time or consulting)
Data analysis and manipulation: statistics, machine learning, data mining
Recommendations technologies: Collaborative Filtering, SVD, Bayesian Statistics
Familiarity with recommender systems and techniques – CF, SVD, etc.
Experience with Map-Reduce, Hadoop stack, Hbase, Hive, Pig, etc.
Proficiency in Java, C#, or C++
Strong background in object oriented programming techniques and design patterns
Ability to rapidly prototype and iterate on vague and quickly changing requirements
Experience with Agile development methodology
Strong interpersonal and organization skills
Ability to work independently or in a small group and to collaborate with remote team-members
Superior written and oral communication skills – ability to effectively communicate complex ideas in words and picture
A passion for entertainment content and a keen eye for user experience

Interested in this position?

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