Data Scientist
Company Name:
Numeric Recruiting and Staffing
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, and 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 plusEstimated Salary: $20 to $28 per hour based on qualifications.
Numeric Recruiting and Staffing
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, and 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 plusEstimated Salary: $20 to $28 per hour based on qualifications.
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