What are the responsibilities and job description for the Data Scientist position at Premier Staffing Solution?
Data Scientist/Analyst
W2 ROLE
NO C2C PLEASE
NO VISA SPONSORSHIP AVAILABLE NOW OR IN THE FUTURE
Must have 4 years of actual experience, not looking for new graduates
Must be Michigan local to go onsite for collaboration
Basic Requirements
- 4 years of experience using data to solve problems, answer questions, and create visualizations
- 4 years of experience in data quality analysis and data architecture
- 4 years of professional development experience
- 4 years of experience in Big Data technologies in Hadoop/Hive/Spark platform using Python/Scala
- Master’s degree in Statistics, Mathematics, Operations Research, Economics, Physics, Computer Science or other STEM fields preferred but will take Bachelor’s Degree.
- R can be very helpful but python experience is required
- Math background can also be very nice to have
Responsibilities
- Pursues problem identification and impact across large vehicle populations, leveraging data mining, predictive modeling, simulation and visualization techniques to further enhance insight and internal performance optimization
- Perform hands-on analysis, search pattern design, mining automation development and data reduction execution
- Mentors others to develop analytical skill sets throughout the organization
- Maintain the latest knowledge in software and hardware products or services, trends, and identify best solutions to meet business requirements
- Establish strong working relationship with peer teams to review requirements/problem areas and establish the appropriate statistical techniques to apply on available data
- Drive the collection of new data and the refinement of existing data sources
- Develop best practices for instrumentation and experimentation and communicate those to peer teams
- Analytics that support Complex Event Processing and Real-Time Event Processing in the context of Big Data
- Acts as the subject matter expert for Data Analytics as it pertains both Predictive and Prescriptive analysis and ensure alignment with industry best practices
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