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Data Scientist/Statistician LT contract

Location : Philadelphia, PA
Job Type : Temp/Contract
Reference Code : 38885
Hours : Full Time
Required Years of Experience : 3+
Required Education : BS
Travel : No
Relocation : No

Job Description :

Responsibilities


• Analyze large data sets in a large data warehouse environment to develop custom models and algorithms to drive business solutions
• Enhance data collection process to include information relevant for analytic systems and models
• Processing, cleansing, and verifying the integrity of data used for analysis
• Conduct advanced statistical analysis to determine trends and significant data relationships
• Lead and coordinate meetings with key project stakeholders

• Work with leadership team to identify, define and measure KPIs to improve customer experience
• Develop reporting requirements and specifications with business and development teams.
• Review and validate data loaded into the data warehouse for accuracy


• Design, build and maintain dashboards used by other teams and present those to Executives


• Use a variety of tools to analyze system performance and user behavior


• Perform analyses and data mining in data warehouse environment which includes data design, Meta data and repository creation.


 


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Required Qualifications :

Requirements


• 3+ years of hands-on work experience programming with BI and statistical tools and systems


• Statistical modeling, machine learning, data wrangling/cleaning/data quality & research methodologies.
• Hands-on with tools: SQL, R, SAS, IBM SPSS, ESRI ArcGIS, Tableau, Latex, MS Office products.
• Expertise in multiple stat techniques such as: Regression, experimental designs, ANOVA, survival analysis, categorical data analysis, discriminant analysis, random forest, boosted models, clustering/segmentation, market basket


• Extensive hands-on experience with data warehouse and data mart concepts and front-end tools


• Expertise developing and presenting technical information to non-technical audiences


• Bachelor’s Degree in Computer Science, Information Systems, or related field


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