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Job Location | Bangalore |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | IT - Software |
Functional Area | General / Other Software |
EmploymentType | Full-time |
This position will be responsible for becoming an expert on a number of different data sets. On a day to day basis this will require doing research and analysis on the data to find ways to improve quality and deliver new features, summarizing this analysis, working with Software Engineering for implementation in the product, and working with the broader QA team so we have ongoing reported metrics to track. Responsibilities/ Key Tasks Job Functions: Build a holistic understanding of our data assets, its customer, the BI data infrastructure & environment, and business goals Analyze large data sets to gain an understanding of the data, discover data anomalies, and look for ways to leverage data in support of organizational goals and initiatives. Use big data technologies to build predictive systems on big data platforms (Hadoop Ecosystem) Analyze and validate data using statistical tools to answer product and business questions Use data to create models that depict trends in diverse data sets Perform data manipulations such as data imports, wrangling, exports and updates Assist with data mining, API development and connectivity with 3rd party data vendors Ability to explain statistical approaches/ models used, rationale/ merits of different approaches, results and interpretation to team members Experience building data pipelines Experience working with large data sets 10TB Qualifications/ Educational Requirements Experience with Big Data, Hadoop, NoSQL databases Strong data interpretation, visualization and presentation skills Self-motivated, agile, excellent collaborative skills and ability to influence diverse audiences Coding ability in a language of your choice (some we d be excited about: Python, R, Java, etc.) and a desire to learn more! 1 years experience in SQL, Hive/ Hadoop, Spark Must have desire to work in a team environment yet be self-directed, proactive, and action-oriented. Basic knowledge of DNS, Internet protocols, VPN, web servers experience preferred. Comfort with statistical and machine learning techniques 3-5 years relevant experience; engineering/ math College degree required Neustar does not accept unsolicited resumes from external firms or agencies. Neustar will not be responsible for placement fees associated with unsolicited resumes. DIVERSITY Diversity, inclusion and teamwork are second nature to Neustar; and these values permeate our entire business structure. Neustar is committed to creating an environment where a wide spectrum of opinions and beliefs are actively sought, listened to and respected. Further, our talented workforce draws from the many geographic areas and markets in which Neustar operates worldwide, which represents a distinct competitive advantage. The rich and varied personal and professional backgrounds of our employees make Neustar a dynamic and rewarding company at which to build a career. We invite you to join us. EOE of Minorities/ Females/ Vets/ Disability Neustar, Inc. considers all applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, or status as a Vietnam-era or special disabled veteran in accordance with federal law and other state and local requirements. Neustar, Inc., complies with applicable state and local laws prohibiting discrimination in employment and provides reasonable accommodation to qualified individuals with disabilities in accordance with the American with Disabilities Act (ADA) and applicable state and local laws.,