Urgent Requirement: Data Scientist with Manufacturing Domain (NJ & FL)
Manish Gupta
Role : Data Scientist with Manufacturing Domain
Work Location : Bridge Water, NJ & Miami, FL
Duration of assignment (in Months) : 12 months
Relevant Experience: 7+ Years
Technical /Functional Skills
Machine learning, Data mining, Statistics
Experience Required:
• Strong knowledge and technical competency in machine learning, statistical analysis, data mining, and predictive modeling.
• Experience and hands-on skills in using R, Python, SAS, Matlab, Minitab, SPSS, Weka, or other statistical/machine learning software.
• Strong data manipulation and analysis skills. Able to source and combine disparate data sets to answer business questions. Hands-on skills with databases, SQL, and Excel Pivot Table.
• Experience with programming languages such as Java, C/C++, Perl, etc.
• Demonstrated ability to frame complex analytical problems and extract insights that led to tangible business results
• Experience with data visualization and presentation, turning complex analysis into insight
• Experience with Big Data and cloud computing platforms (e.g., AWS, Azure) is a plus
• Background in manufacturing, supply chain management, and system deployment is preferred.
Roles & Responsibilities
• Develop and deploy machine learning, data mining, and advanced statistical techniques on large amounts of manufacturing, quality, materials, equipment, and procurement data to drive predictive insights and improve operations metrics.
• Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation and model implementation.
• Independently lead/support multiple data science projects as required. Manage and execute project activities throughout problem framing, data collection, model development, testing, deployment, results tracking and continuous improvement phases.
• Research and implement novel machine learning and statistical approaches.
• Partner with business leaders and stakeholders in various functional groups (e.g., manufacturing, operations, procurement, engineering, quality assurance, supply chain planning, materials management, logistics) to identify advanced analytics application opportunities and deliver innovative solutions.
• Provide written and verbal communications such as business cases, project progress reports and documentation to management and business partners.
Generic Managerial Skills
• Strong project management, leadership, presentation, communication, and business partnering and collaboration skills.
• Self-motivated, organized, energetic, results-driven and a fast learner. Able to multi-task.