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Data Scientist

+ To turn raw data into valuable insights which will be needed in order to grow and compete. This will mean to interpret and analyze data from multiple sources to come up with imaginative 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.
Main Responsibilities:
+ 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 challenges
+ Use a combined knowledge of computer science and applications, modelling, statistics, analytics and math to solve problems.
+ Extract data from multiple sources
+ Data exploration, mathematical/ statistical modelling, data analysis, and hypothesis testing
+ Design, development, and deployment of Predictive models and frameworks.
+ Develop custom data models and algorithms to apply to data sets
+ Use predictive modelling to increase and optimize customer experiences, revenue generations, and other business outcomes.
+ Sift and analyze data from multiple angles, looking for trends that highlight problems or opportunities
+ Communicate important information and insights to business and IT leaders
+ Make recommendations to adapt existing business strategies
Candidate Background: Skills, Knowledge and Abilities:
+ Experience using statistical computer languages (R, Python, SQL etc.) to manipulate data and draw insights from large data sets
+ Exposure with and in creating data architectures
+ Knowledge of variety of machine learning techniques (clustering, decision tree learning, artificial neural networks) and their real world advantages / drawbacks
+ Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage etc.)And experience with applications
+ Excellent written and verbal communication skills for coordinating across teams.
+ Expertise in Observation skills, Critical thinking, Innovative thinking, predicting trends and identifying patterns.
+ Well-versed in quantitative analysis, research, data mining, trend analysis, customer profiling, clustering, segmentation and predictive modeling.
+ Executing the data-driven planning process by building models and frameworks that connect business unit drivers to company financials and forecast to take the correct decision as per the business need.
+ Bachelors/ Masters in Math, Statistics or relative degree
_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, 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. 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._
Title: Data Scientist
Location: New York-Webster
Requisition ID: 18005375

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