Statistical Data Modeler

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

Statistical Data Modeler

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

ü 5-7 Years' experience preferably in Financial Industry or Retail/CPG

ü 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.

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