40$/hr for a Data Scientist - Agilent in Santa Clara .

40$/hr I received the below email from a recruiter and the rate is 40$ in C2C . Can they find people who can work for 40/hr ? The company is Agilent Position: Data Scientist Duration: 3+ months Location: Santa Clara, CA Job Description: Responsibilities Your focus will be generating customer insights the improve online and offline marketing targeting and customer experience Your will also focus on automating reporting that can be easily consumed by different stakeholders You will consolidate, validate and investigate big data from multiple sources to find and deliver actionable insights to business partners and to upper management to make informed business decisions You will create data driven attribution statistical models of Marketing touches and customer responses to measure and maximize ROI Develop Propensity Score Matching for segmentation of customers Who You Are Analytical and international, with a proven track record of expert level ability in analytical techniques, model development and deployment and high-velocity transactional data A leader. You have the capacity to lead others to solve complex problems, use sophisticated analytical thought to exercise judgment and identify innovative solutions, and possess the ability to orchestrate value in coordination with multiple stakeholders. A communicator with strong interpersonal skills, ability to work effectively with all levels of the organization. A Self-motivator who is highly organized, and able to prioritize and manage multiple projects simultaneously. Requirements: Desired Skills and Qualifications: BS, MS in a field related to Data Science, Computer Engineering, Statistics, Mathematics, or a closely related quantitative field with 4+ years of work or research experience in applied data science Comfortable with both structured and unstructured data Strong competency in R, Python, or SQL Experience with visualization tools such as DOMO or Tableau Experience with analytics tools as Adobe Analytics, Google Analytics is a plus Familiarity with big data processing such as Hadoop is a plus