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Data Scientist
Tivo
Durham, NC, United States
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Description
TiVo is seeking a Data Scientist to join our team. This person will develop statistical and machine learning methods for analyzing and interpreting large datasets. The ideal candidate will possess strong skills and experience in data exploration, algorithm development, and machine learning. Of interest is someone with experience in data mining and predictive analytics.
Responsibilities
• Perform large-scale data analysis and mathematical modeling
• Solve problems of large dimension in a computationally efficient and statistically effective manner
• Work closely with a product engineering team to identify and answer important product questions
• Answer product questions by using appropriate statistical techniques on available data
• Apply knowledge of recent techniques and research to invent and propose new approaches and methodologies
• Communicate findings to product managers and engineers
• Refine existing data sources for use in downstream applications
• Analyze and interpret large, multi-dimensional datasets
• Develop best practices for data gathering and experimentation and communicate those to product engineering teams
Requirements
• S. or Ph.D. in a relevant technical field, or 2+ years’ experience in a relevant role
• Extensive experience solving analytical problems using quantitative approaches
• Extensive experience with statistical and machine learning models e.g. logistic regression, SVM, SVD, Trees, Bayesian
• Experience with Artificial Intelligence and Neural Networks
• Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
• A strong passion for empirical research and for answering hard questions with data
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
• Familiarity with relational databases and SQL
• Expert knowledge of a data science programming stack (Python, R) Experience working with large data sets, experience working with distributed computing tools a plus (MapReduce, Hadoop, Hive, Spark, etc.)