Job Description

Reference # : 17-04984Title : Dat Analyst/Data Scientist
Location : NEW YORK, NY
Position Type : Contract
Experience Level : 5 YearsStart Date / End Date : 05/24/2017 / 02/28/2018
Description
ECLARO is a company that delivers talent. We provide fully customizable, comprehensive talent acquisition and management of seasoned professionals through a number of business models, including: Consulting, Professional Hire, Global Integrated Delivery and Managed Services.

Data Analyst/Data Scientist
New York, NY (10003)
Until 02/28/2018 (initial duration; possible extension)
Job number: 1116
  • Assignment Details
  • Candidate will help work with an IT team member to build advanced analytics solutions for Gas Operations.
  • This may include building web applications utilizing data analytics solutions.
  • The candidate will also work on enhancements to the GIS system.
  • Skills & Requirements
  • Candidate should be an experienced Data Scientist with expert knowledge in applying data mining techniques, performing data and statistical analysis, building high quality analytics and prediction platforms to support our business processes.
  • The Data Scientist is responsible for applying innovative analytical and research approaches to help Client tackle complex and strategically important problems.
  • Candidate must have a minimum five years of relevant work experience in applied quantitative and qualitative analysis.
  • Utility industry experience preferred.
  • Candidate must have a proven track record leading the development and delivery of creative, advanced, actionable analytic products and services.
  • Must have experience managing vendor engagements to understand business problems/opportunities, translating needs into analytic projects and applying results.
  • The applicant must have a command of analytic methods, tools and data wrangling techniques.
  • The candidate must demonstrate the ability to quickly acquire in-depth knowledge of new IT technologies.
  • Must have the ability to present technical topics to non-technical audience and have demonstrated ability to handle multiple assignments and changing priorities.
The candidate having the following skills is preferred:
  • Experience with R, Spark, Hadoop/MapReduce and machine learning frameworks preferred.
  • Knowledge of Microsoft .NET programming, Microsoft SQL-Server programming, including some database design, and complex queries.
  • DTS and SSIS, Team Foundation Server, Visual Studio (2008/2012), SqlServer 2008R2, SqlServer2012,.Net Framework 3.5 and higher, COM+ (4-6 years).
  • Knowledge of JavaScript.
Please contact Homer Ballega at (201) 375-9070 or send an email to Homer.Ballega@eclaro.com with a Word resume along with the position ID number, your hourly rate and availability.

ECLARO is a company that delivers talent. We provide fully customizable, comprehensive talent acquisition and management of seasoned professionals through a number of business models, including consulting, Professional Hire, Global Integrated Delivery and Managed Services.
ECLARO recruits and manages a staff of highly skilled individuals in an array of specialized disciplines. This approach enables our clients to leverage new opportunities, respond to increased and changing demands and increase their profitability.
Please visit www.eclaroIT.com to see why the Right People are The Answer.
Specialties: Customized solutions for Human Capital and Talent Acquisition, Permanent placement and retained search, Recruiting, Staff Augmentation, Contract Labor, Managed Services, RPO, MSP, VMS, IT solutions, management and support, offshore business process outsourcing.
Equal Opportunity Employer:Eclaro values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

Website: http://www.eclaro.com
Industry: Staffing and Recruiting
Type: Privately Held Company
Size: 501-1000 employees
Founded: 1999

Application Instructions

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