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Data Scientist
Ref No.: 18-01949
Location: Hickory, North Carolina
Position Type:Full Time
Pay Rate : $ 115,000.00 - 125,000.00 /Year
DATA SCIENTIST
Hickory, NC
Base + Bonus 


Data Scientist will be part of Business Analytics team reporting to Director, Business Analytics. The Data Scientist will apply their knowledge and skills in designing, development & deployment of Cognitive advanced analytics statistical models, machine learning methods and solutions for internal and external global business users across various domains. The Data Scientist will use statistical and other tools/languages - R, Python, Java, Hadoop, IOT, Visual Inspection deep learning algorithms and Azure IOT&Client to design and deliver end-to-end Advanced Analytics solutions.
 
 
What You'll Do: 
  • Ensure advanced solutions are scalable, reliable, and trust worthy for decision makers.
  • Based on business problems and user personas, develop, conceptualize and test Various Statistical models and deliver strategic advanced analytics projects from design to execution.
  • Build simulation models using different programing languages and vendor tools to model business problems in support of decision-making.
  • Work on tools and technologies such as R, Python, Vision inspection deep learning algorithms, SPAS, Java, Hadoop and Azure Client and IOT
  • Design and develop actionable advanced analytical solutions that provide insights to decision makers
  • Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as IOT, Visual inspection or social media.
  • Analyze simulation results, Designs experiments, test hypotheses, and build models.
  • Lead discovery processes with stakeholders to identify the business problems, requirements, opportunities and the expected outcome.
  • Collaborate with Business users and Engineers and subject matter experts to select the relevant sources of information. Makes strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
  • Develop innovative and effective approaches to solve analytics problems and communicates results and methodologies.
  • Analyze the solution impact on existing systems and process, and work with various teams to finalize the scope and depth of testing required for production deployment.
  • Deliver projects by authoring/reviewing solution design, functional design, technical design, and test sets and collaborate with global teams in delivery.
  • Analyze customer requests for feasibility, develop project scope, schedule, and resource estimates, adhering to company software development methodology and standards. Prepare project status reports and present project status reports to project stake holders.
  • Proactively work with business users and source system analysts to understand and gain expertise in business process and data relationships.
  • Work with security team to secure the data. Work with the System, Database, and Application Administrators to ensure that application performs within the defined performance parameters.
  • Set up and Adhere to the organizational development process and standards.
  • Proactively recommend and implement enhancements and/or upgrades and ensure that architecture and technology standards are in place.
 
Skills/Experience You'll Need: 
  • Bachelors Degree in Computer Science, Information Systems or Statistical analysis
  • 5+ years experience in Statistical analysis/modeling, data science and/or data mining
  • Hands on experience developing statistical and predictive models in the context of IOT based Manufacturing Operations, predictive maintenance, Visual inspection based Quality improvement and process optimization, Sales and Marketing basket analysis with structured and unstructured data.
  • Ability to analyze simulation results, develop technical reports and presentations and guide business and technical leaders on suitable data analysis strategy.
  • Should be passionate about data science and technology, and stay abreast with industry trend and technology roadmap in the areas of Machine Learning, Big Data and Data Science.
  • A process- oriented, Continuous process improvement driven, with strong project management skills.
  • Must be able to effectively communicate and manage global development teams.
  • Experience in developing strong partnerships with internal business and IT groups.
  • Proficiency in data identification, preparation, data mining, integrating data from different sources structured and unstructured, and write machine learning and deep learning algorithms
  • Ability to design complex systems and translate user requirements into business solutions.
  • Proficiency in developing solutions using statistical and other tools/languages like R, Python, Java, Hadoop, IOT, Visual Inspection deep learning algorithms and Azure IOT&Client
  • Experience in interview business users, collecting and interpreting requirements, explaining the solution details to business audience and run business meetings.
  • Proven understanding of data mining, statistical analysis and predictive analysis concepts.