Data Scientist II (US) in New York City, New York | DiversityInc Careers
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Data Scientist II (US)

Job Description
This role will be a critical component of Marketing Advanced Analytics team with in marketing that will have hands on experience and subject matter expertise on modeling forecasting & Data ScienceJob Requirements
 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, Propensity models, 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.)

  • Must be eligible for employment under regulatory standards applicable to the position.
  • Qualifications
     5-7 Years' experience preferably in Financial Industry or Retail/CPG
     Master degree in Applied Statistics, Business Analytics, Operational Research, Applied Math, Engineering and or Computer Science
    Proficient PC skills including a strong competency in MS Excel and PowerPoint, and a variety of PC based analytical and reporting software packages.
     Advanced experience in the knowledge, utilization and adoption of the latest tools (i.e. machine learning) and technologies (i.e.
    Hadoop) in big data and advanced analytics
     Strong analytical and program solving skills are required to interpret data and draw conclusions.
     Excellent written and verbal communications skills.