SGS is the world\u2019s leading inspection, verification, testing and certification company. SGS is recognized as the global benchmark for quality and integrity. With more than 95,000 employees, SGS operates a network of over 2,400 offices and laboratories around the world. SGS is much more than just a place to work. It's a place where you can put your innovative thinking and business skills into high gear and grow. About the Role: We are looking for a Data Scientist who will support our business development and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining\/data analysis methods, using a variety of data tools, building and implementing models, and using\/creating algorithms.\u00a0A proven ability to drive business results with their data-based insights while working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Specific Responsibilities: Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Mine and analyze data from company databases to drive optimization and improvement of client solutions, marketing techniques and business strategies Assess the effectiveness and accuracy of new data sources and data gathering techniques Develop custom data models and algorithms to apply to data sets Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes Coordinate with different functional teams to implement models and monitor outcomes Develop processes and tools to monitor and analyze model performance and data accuracy Education, Required Skills & Competencies: Must be currently enrolled in an accredited college or university and must be pursuing a Data Science (or relevant) degree. Experience using statistical computer languages to manipulate data and draw insights from large data sets Strong problem-solving skills with an emphasis on data visualization Experience working with and creating data architectures Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages\/drawbacks Excellent written and verbal communication skills for coordinating across teams Additional Information: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. The requirements listed above are representative of the knowledge, skill, and\/or ability required. This job description should not be construed as an exhaustive statement of duties, responsibilities or requirements, but a general description of the job. Nothing contained herein restricts the company\u2019s rights to assign or reassign duties and responsibilities to this job at any time. SGS is an EOE AA M\/F\/Vet\/Disability employer. Qualified applicants will receive consideration for employment without regard to their race, color, religion, national origin, sex, protected veteran status or disability.\u00a0 If you are applying for a position within the United States and you have difficulty completing the on-line employment application because of a disability, please call 201-508-3149 for assistance and leave a message. You will be called back shortly. Please note, this phone number is not for general employment information, but is only for individuals who are experiencing difficulty applying for a position due to a disability.
Website : http://www.sgs.ca
SGS is the world’s leading inspection, verification, testing and certification company. We are recognized as the global benchmark for quality and integrity. With more than 70,000 employees, we operate a network of more than 1,350 offices and laboratories around the world.