Statistical / Econometric Modeler

New
  • Location
    New York, New York
  • Job type
    Contract/Temporary
  • Category
    Accounting & Finance - Economist


Adecco Group is seeking a Statistical Econometric Modeler – NYC/NJ


W2 Contract Duration: 9+ months (possible extension or conversion)
Location: Can sit in NYC or Mount Laurel NJ
Pay Rate: $62.50 per hour



This role will be a critical component of our client’s Marketing Command Center project that will have hands on experience and subject matter expertise on Media & Digital Analytics with focus on building Media Mix Modeling. This is a highly visible role interacting with this team and Stakeholders.

Duties, Responsibilities and Accountabilities


Design, develop and implement various statistical and forecasting models to optimize different Direct to consumer, Media & Digital campaigns, risk, and response and customer value
Build predictive models using machine learning and statistical techniques and led applications of predictive modeling techniques for complex business problems such as multi-channel effectiveness, customer lifetime value modeling, social media sentiment analysis, digital marketing channels, media mix modeling and churn modeling
Provide leadership and creativity by using advanced quantitative methods to identify opportunities that bring value to the business and influence decision making.
Lead all analytic/modeling projects and provide solutions to the business problems facing across the cross functional department
Own and manage model governance, and all regulatory affairs such as compliance approval process to make sure all the built models are in compliance with current banking rules and regulations
Synthesize data and analytical methods into actionable business strategy and communicate findings to business partners and executive management team


Technical Skills


Requires an expert programming and modeling skills (e.g. expert in statistical/econometric and machine learning software such as Base SAS, SAS EG, SAS EM, R, Hadoop, Hive, Python or NVivo or Tableau, Spark etc.) and database knowledge and query languages (e.g. Oracle, SQL etc.)

Experience & Education


5-7 Years' experience preferably in Financial Industry or Retail/CPG
Bachelor's degree in Statistics, Operational Research, Applied Math, Engineering and or Computer Science (Master's Degree Preferred)


Must Have


5-7 years of Programming (SAS, Python, etc.)
5+ years building economic models – marketing mixed modeling preferred.
Previous experience working with Media/Digital Data
Oracle/ Database experience

Mon-Fri, 8:30-5pm

**Must be eligible to work for any employer in the U.S. without sponsorship / no corp to corp or 3rd party contracting arrangement / Adecco W2 only and not require relocation assistance.

***Successful completion of a full background check, drug screen, employment verification, educational verification and reference checks required upon offer.

HOW TO APPLY:

Please click on the “Apply Now” button to fill out your application.

If you have any questions, you can contact or send your resume to patricia.landay@adeccona.com 631-844-2898 for consideration.

Important information:

This position is being recruited for by Adecco’s National Recruitment Center, not your local Adecco Branch Office. To be considered for this position, you must use the “apply now” button to submit your resume. If you have questions about the position, you may contact the recruiters for this position listed above. For other opportunities available at Adecco go to www.adeccousa.com.

The Adecco Group is a global leader in HR services. Our group connects over 700,000 associates with our business clients each day through our 6,600 offices in over 70 countries and territories around the world. We offer employment opportunities at any stage in your professional career. Contact us today to discuss available contract and direct hire positions. Adecco Group offers benefits including 401(k) and Insurance Benefit Plans.

Equal Opportunity Employer Minorities/Women/Veterans/Disabled

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Reference number US_EN_2_022862_404436