Role: SAS Statistical Modeling

JC 298620

Position: data Scientist

Location: Denver CO

Rate: $55

Client: ES



Job Description

1. Understand the business objectives and requirements, have ability to
convert the business case into analytical problem and then accordingly
develop a solution.

2. Provide statistical design and analysis results at the planning,
development and execution stage of the Dish advanced analytics projects.

3. Perform model scoring and statistical analyses using predictive
modelling techniques.

4. Develop analytical strategies for business using model results of
predictive modelling, time series forecasting, clustering and segmentation
of customers

5. Document and present work to the client. Proactively recommending and
influencing changes in business decision-making.

6. Co-ordinate with offshore team on day-to-day basis.



Skills/Experience Required

1. A desirable candidate should have 6/7 years of relevant experience in
the field of predictive modelling preferably customer analytics.

2. A strong quantitative background, excellent communication skills
(written, verbal) and excellent presentation skills are necessary.

3. Should have hands-on experience in handling large datasets and should be
familiar with models using—linear regression, logistic regression,
ANOVA/ANCOVA, optimization techniques, time series modelling, segmentation,
decision tree, clustering and simulation based analysis.

4. Programming ability using R and R-Stats  is must for the role

5. Knowledge of media industry is preferred.

6. Demonstrated ability / experience in project management and client
relationship management for at least two years is required





*Thanks,*



*Jay Chauhan*

*Technical Recruiter, **e**Team, Inc. **“**ACCELERATED HIRES**”*

*efficiency. synergy. expertise*

*732-248-1900 X 522* <732-248-1900%20X%20522>* (T)*

*908-757-0800* <908-757-0800>* (F)*

[email protected] <[email protected]>

www.eteaminc.com



*eTeam is Ranked #1 in "**The 2013 Best Places to Work in New Jersey*
<http://www.njbiz.com/section/best-places-to-work-NJ#ixzz2WCWt71f5>

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