Statistical Data Modeler

  • New York, NY

Compensation

: $79,453.33 - $138,710.00 /year *

Employment Type

: Full-Time

Industry

: Scientific Research



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job summary:
Looking for a statistical data modeler with SAS and Media Modeling experience for a six month contract in NYC.
CANDIDATE PROFILE DETAILS:
Degree/Certifications Required: Bachelor's degree in Statistics, Operational Research, Applied Math, Engineering and or Computer Science (Master's Degree Preferred)
Years of experience: 5-7 years
Reason for request/why opened: project support within Marketing Command Center
Personality Style/Team Culture: analytical, hardworking, friendly, creative
Selling Points of Position: highly visible project interacting with team and Stakeholders
How will performance be measured: based on work completed d
location: New York, New York
job type: Contract
salary: $50 - 75 per hour
work hours: 9am to 5pm
education: No Degree Required
responsibilities:
SUMMARY OF DAY TO DAY RESPONSIBILITIES:
Primary purpose of this Role: This role will be a critical component of Marketing Command Center project that will have hands on experience and subject matter expertise on Media & Digital Analytics with particular focus on building Media Mix Modeling.
Experience: 5-7 Years' experience preferably in Financial Industry or Retail/CPG
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
qualifications:
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, Python, Hadoop, Hive, 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)
skills: MUST HAVE:
1.) 5-7 years of Programming (SAS, Python, etc.)
2.) 5+ years building economic models - marketing mixed modeling preferred.
3.) previous experience working with Media/Digital Data
4.) Oracle/ Database experience
5.) Punctual & Committed - must be able to come on time everyday
NICE TO HAVE
1.) Banking/FI experience
Skills needed for submittals
5+ years building economic models - marketing mixed modeling preferred.-Yes or no
An undergraduate or graduate degree in Business, Economics, Mathematics, Finance.-Yes or no
Any upcoming vacation plans? .-Yes or no
Candidate has No Attendance and Punctuality issues? .-Yes or no
Expertise in data analysis & visualization of at least one of (Python, NVivo, Tableau) .-Yes or no
Has your candidate worked at our client as a Full Time employee? .-Yes or no
Is this candidate required to give notice --Yes or no
previous experience working with Media/Digital Data.-Yes or no
Banking/Financial Industry experience -Yes or no
Database (Oracle, SQL)- years
Experience in building statistical models in SAS - years
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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