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Data Scientist@Harrisburg, PA
Enola, PA
Enola
PA
17025
Date
: May-31-17
2017-05-31
2017-07-30
Data Scientist@Harrisburg, PA
Enola, PA
May-31-17
Work Authorization
US Citizen
GC
H1B
EAD (OPT/CPT/GC/H4)
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect
Rate/Salary ($)
:
market
Duration
:
long term
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Consulting / Contract
CONTRACTOR
Direct Client Requirement
Required Skills
:
Data Scientist, SQL and Hadoop, Python, Spark
Preferred Skills
:
Data Scientist
Domain
:
IT/Software, Financial, Government, HealthCare, Retail, Dot Com, Insurance, Pharmaceuticals, Manufacturing, Telecom
Work Authorization
US Citizen
GC
EAD (OPT/CPT/GC/H4)
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect
Rate/Salary ($)
:
market
Duration
:
long term
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Consulting / Contract
CONTRACTOR
Direct Client Requirement
Required Skills
:
Data Scientist, SQL and Hadoop, Python, Spark
Preferred Skills
:
Data Scientist
Domain
:
IT/Software, Financial, Government, HealthCare, Retail, Dot Com, Insurance, Pharmaceuticals, Manufacturing, Telecom
Medcomps Corporation
Springfield, IL
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Hi,
Position: Data Scientist
Location: Harrisburg, PA
Duration: 12 + months
Job Description:
Translating a complex strategic challenge into relevant analytic framework(s):
Setup and lead meetings to gather business requirements.
Ask probing questions to understand business intent and how the end-results will be used. Surface implicit assumptions by the business user. Agree on template end-deliverables.
Identify relevant data sources, determine appropriate acquisition approach (e.g. skim relevant data or creation of structured database for manipulation, etc
Create specific project management plans defining the scope (number and type of analyses, assumptions) and timelines, ensuring that data is obtainable for the analysis required.
Where necessary, pulling data into analytic environment using tools like SQL and Hadoop.
Identifying practical approaches to test and learn key hypotheses to extend analytic insight.
Creating statistical models, algorithms and data visualizations to enable solutions to complex business questions. Examples of analytical tools that may be used include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, machine learning, deep learning, etc.
Coding and conducting analyses using tools like R, Python, Spark and others within a Hadoop eco system.
A rigorous understanding of the fundamentals of statistics and machine learning applied to business challenges and microeconomics is required.
Proficiency in tools like R, Python and/or Spark is required.
A strong curiosity to learn and apply data science techniques and tools is required.
Proven ability to work within a climate of ambiguity is necessary.
Outstanding communication and presentation skills is a must.
A graduate degree (MS or PhD) in STEM disciplines (Science, Technology, Engineering, Math) or in other disciplines with heavy focus on quantitative domains, including statistics, analytics, computing or actuarial sciences is desired.
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