Xerox Data Scientist in Cary, North Carolina
State/Province: North Carolina
Country: United States
Department: Information Management
Date: Monday, April 26, 2021
Working time: Full-time
Job Level: Individual Contributor
Job Type: Experienced
Job Field: Information Management
Seniority Level: Associate
Description & Requirements
Xerox (NYSE: XRX) makes every day work better. We are a workplace technology company, building and integrating software and hardware for enterprises large and small. As customers seek to manage information across digital and physical platforms, Xerox delivers a seamless, secure and sustainable experience. Whether inventing the copier, the ethernet, the laser printer or more, Xerox has long defined the modern work experience. Learn more at www.xerox.com and explore our commitment to diversity and inclusion. (https://www.xerox.com/en-us/jobs/diversity)
Turn raw data into valuable insights which will be needed in order to grow and compete. This will involve interpreting and analyzing data from multiple sources to come up with innovative solutions to problems. Will use their analytical, statistical and programming skills to collect, analyze and interpret large data sets, and then use this information to develop data driven solutions to different challenges. Must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. Must have a proven ability to drive business results with their data-based insights. Must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for architecting solutions uncovering value hidden in large data sets and working with stakeholders to improve business outcomes.
Key Responsibilities :
Work with internal and external stakeholders across the organization to identify opportunities for leveraging company data to drive business solutions.
Use strong business acumen, as well as an ability to communicate findings, and mine vast amounts of data for useful insights
Use these insights to influence how an organization approaches business challenge
Use a combined knowledge of computer science and applications, modelling, statistics, analytics, and math to solve problems.
Data exploration, mathematical/ statistical modelling, data analysis, and hypothesis testing
Profile and analyze large data sets
Design, development, and deployment of Machine Learning models and frameworks.
Education/Professional Experience Required :
Minimum Bachelor's Degree in Computer Science, MIS or related field
4-6 years of experience in Data Scientist role
Candidate Background: Skills, Knowledge and Abilities :
Experience in SQL to explore data and identify business insights.
Well-versed in quantitative analysis, research, data mining, trend analysis, customer profiling, clustering, segmentation, and predictive modeling.
Strong programming skills with querying languages: SQL, Python, or R
Experience with Cloud and Cloud data warehouses: Azure, AWS, Snowflake
Experience with data visualization tools: Tableau, Raw, chart.js, etc.
Knowledge and experience in statistical and data mining techniques: Regression, Decision Tree, Random Forest, Boosting, Trees, text mining, social network analysis.
Xerox is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, creed, religion, ancestry, national origin, age, gender identity or expression, sex, marital status, sexual orientation, physical or mental disability, use of a guide dog or service animal, military/veteran status, citizenship status, basis of genetic information, or any other group protected by law. Learn more at www.xerox.com and explore our commitment to diversity and inclusion! (https://www.xerox.com/en-us/jobs/diversity) People with disabilities who need a reasonable accommodation to apply or compete for employment with Xerox may request such accommodation(s) by sending an e-mail to XeroxStaffingAdminCenter@xerox.com. Be sure to include your name, the job you are interested in, and the accommodation you are seeking.
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