Data Scientist

Key Skills

Python Programming, SQL, Big Data Technology, Apache Hadoop, Machine learning techniques, NoSQL, Apache Hive, R Programming, SPARK Programming, Statistical modeling

Job Description

At Neustar, you have the power to be your authentic self, to be curious, to run with your idea, and to celebrate a good day. We help the world’s leading enterprises solve their most persistent problems using the powerful combination of identity-resolved data and decision analytics. You’ll help us discover new ways of doing that. With an inclusive culture and a comprehensive benefits package to support your total health, we make sure we have what you need to take care of you and yours.

Now a TransUnion company, we’re growing fast and we're looking for smart, motivated people to join our team. If you're interested in seeing more of our career opportunities, you can browse all open positions on our job search page.

Job Requisition:

R-4187 Data Scientist (Open)

Primary Location:

Remote - USA

Job Description:

Data Scientist

Job Description:

The Data Scientist will work on challenging problems extracting actionable information out of the many data sources available to Neustar, particularly time series data. They will assist in developing accurate and precise models of media and user behavior using various analytical tools, including data curation, data visualization, supervised, and unsupervised machine learning. The data sets under analysis are large, and growing larger still, and so the data scientist must be proficient in the design and development of CPU and memory efficient algorithms.

Application areas include Marketing Analytics and other Business Solutions supported by our or our client’s data.

Data Scientists create prototypes of new algorithms and support Engineering teams in productizing these capabilities. Data Scientists work closely with various teams including data acquisition, data products, data sciences and various business units including marketing, security, and internet of things to ensure implementation of capabilities that enable the organization’s vision. The position will start out as remote. The role will start out as remote pending company’s decision on returning to office.

Responsibilities:

• Algorithm Development: Develop a deep understanding of all the data relevant to the problem to be addressed. Establish deterministic and probabilistic linkages between data sources and develop ways to extract and summarize the sought information in the data using a wide variety of statistical, data mining and machine learning techniques.
• Prototyping: Create prototypes of productizable ways to perform the analysis at scale, provide documentation and help educate your colleagues in different function about the solution
• Support Implementation: Closely work with product, engineering, and client teams to incorporate Data Science capabilities into Neustar’s products and services

Experience and Qualifications:

• Bachelor’s degree in Data Science, Statistics or a related quantitative field.
• 2+ years of experience working on data-intensive analytics solutions
• Solid understanding of data mining and statistics concepts and familiarity with real-world applications of these techniques.
• Hands on experience in Machine Learning.
• Experience on Geospatial data, time series data and/or panel data is preferred.
• Solid knowledge of SQL in its various forms for traditional databases and distributed computing environments.
• Experience working with commercial and/or open source statistics and data mining packages
• Experience working on large distributed datasets using Hive SQL, Spark, Python is preferred.
• Experience working on cloud services such as AWS and GCP.
• Strong written and oral communication skills
• Strong inter-personal collaboration skills. Being able to both work in groups or as an individual contributor
• General curiosity, a willingness to experiment, pragmatism and the ability to handle ambiguity