DATA SCIENTIST - RALEIGH, North Carolina, United States
Responsibilities
Identify new data sources that will improve online targeting efforts
Establish links across existing data sources and find new, interesting mashups
Work closely with statisticians to identify, design and build appropriate datasets for complex experiments
Coordinate data resource requirements between analytics team and engineering team
Develop tools and libraries that will help analytics team members more efficiently interface with huge amounts of data
Help develop algorithms and predictive models to solve critical business problems
Create informative visualizations that intuitively display large amounts of data and/or complex relationships
Work with product managers, engineers and analytics team members to translate prototypes into production
Qualifications
Highly motivated individual with degree(s) in CS or applied quantitative field (math/statistics, economics, engineering).
Minimum of 3-5 years working with relational databases
Ability to write and execute complex SQL queries to extract/process data.
Strong analytical skills
Experience in programming with JAVA, Python, Perl.
Experience with statistics software (prefer R, SPlus, MatLab)
Well versed in UNIX command line utilities (Sed, awk, etc.) and experience using these tools to clean/process very large and often very messy datasets
Coursework or practical experience with data mining, machine learning, building algorithms, applied math and statistics a plus
Deep knowledge of various data sources (government, open source APIs, point-of-sale, proprietary sources, etc.) and experience in linking them
Experience with very large datasets a must. Knowledge of map/reduce framework (hive/pig other tools for accessing data in Hadoop/HBase cluster systems) a plus
Relocation offered:
$80K-$125K
Please submit resume at http://bit.ly/14tbv22
or contact Muriel Mayberry at muriel@hansenrecruiting.com
Responsibilities Identify new data sources that will improve online targeting efforts Establish links across existing data sources and find new, interesting mashups Work closely with statisticians to identify, design and build appropriate datasets for complex experiments Coordinate data resource requirements between analytics team and engineering team Develop tools and libraries that will help analytics team members more efficiently interface with huge amounts of data Help develop algorithms and predictive models to solve critical business problems Create informative visualizations that intuitively display large amounts of data and/or complex relationships Work with product managers, engineers and analytics team members to translate prototypes into production
Qualifications Highly motivated individual with degree(s) in CS or applied quantitative field (math/statistics, economics, engineering). Minimum of 3-5 years working with relational databases Ability to write and execute complex SQL queries to extract/process data. Strong analytical skills Experience in programming with JAVA, Python, Perl. Experience with statistics software (prefer R, SPlus, MatLab) Well versed in UNIX command line utilities (Sed, awk, etc.) and experience using these tools to clean/process very large and often very messy datasets Coursework or practical experience with data mining, machine learning, building algorithms, applied math and statistics a plus Deep knowledge of various data sources (government, open source APIs, point-of-sale, proprietary sources, etc.) and experience in linking them Experience with very large datasets a must. Knowledge of map/reduce framework (hive/pig other tools for accessing data in Hadoop/HBase cluster systems) a plus
Relocation offered: $80K-$125K
Please submit resume at http://bit.ly/14tbv22 or contact Muriel Mayberry at muriel@hansenrecruiting.com