Statistical Modeler

  • location: New York, NY
  • type: Contract
  • salary: $50 - $75 per hour
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job description

Statistical Modeler

job summary:
Looking for a statistical modeler for a year long contract in either or our clients offices in midtown NYC or Southern NJ.

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 S

 
location: New York, New York
job type: Contract
salary: $50 - 75 per hour
work hours: 9am to 5pm
education: No Degree Required
 
responsibilities:
UMMARY 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)

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:

Skills needed for submissions

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

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

previous experience working with Media/Digital Data- Yes or no

Experience in building statistical models in SAS- years

Oracle- years

Banking/Financial Industry exp.- Yes or no


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.

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