Randstad SAS Statistical Modeler in Mount Laurel, New Jersey

SAS Statistical Modeler

job details:

  • location:Mount Laurel, NJ

  • salary:$45 - $80 per hour

  • date posted:Wednesday, June 13, 2018

  • job type:Contract

  • industry:Finance and Insurance

  • reference:626845

job description

SAS Statistical Modeler

Looking for Statistical Modeler with SAS experience for a nine month contract at our clients location in 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

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

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.)

NICE TO HAVE

banking/Fi experience

Skills needed for submittals

An undergraduate or graduate degree in Business, Economics, Mathematics, Finance-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

Experience in building statistical models in SAS-years

Banking / Financial Industry Experience-years