Data Scientist

Responsibilities:

• Develop advanced predictive models and exploratory data analyses that will unveil key data insights leveraging both structured and unstructured data.
• Work closely with Data Engineering and the business team to determine what data insights need to be derived and the problem statement that should guide the analysis in order to solve business problems
• Act as a key communicator of analytical results and insights to various stakeholders across and outside the company
• Drive all analytics efforts supporting the product development lifecycle.
• Use machine learning to improve and automate processes in SMS proprietary tools
• Apply data mining techniques to make recommendations based on data and communicates results through insightful visualizations, reports and presentations
• Improve the dataset (or data repository) quality by cleaning the company’s data and collecting information from new sources
• Translate business analytics problems into technical approaches in diverse domains such as vendor recommendation, work scheduling and technician dispatch, etc.
• Collaborate with different teams to develop, refine, and scale procedures and workflows.
• Foster a positive team environment
• Ensure confidentiality of internal and external data
• Perform ad-hoc projects and other duties as assigned

Role Specific Skills

• Ability to independently develop advanced statistical and machine learning models using a variety of techniques (e.g. GLM, Neural Networks, Tree-based learning methods)
• Expert level knowledge in one or more languages commonly used in data analytics (Python, R, Java, Scala, etc.). Python / R proficiency is strongly preferred
• Expert level knowledge in SQL and database management, both relational and big-data platforms.
• Experience in managing, validating, and manipulating large, complex datasets
• Strong ability to communicate complex analyses and concepts to non-technical audiences within and outside of the organization
• Comfortable performing independent research to support analytics decisions as part of the product lifecycle

Qualifications

Bachelor’s degree in a quantitative or technical field such as mathematics, statistics, computer science, or engineering with 5 or more years of experience in a data science and/or predictive analytics role or a Masters or Ph.D. degree in a relevant discipline with 2 or more years of experience in a data science and/or predictive analytics role (Masters or Ph.D. strongly preferred)

Job Type: Full-time

Schedule:

• 8 hour shift
• Monday to Friday

Work Location: One location