Job Summary - Senior Data Scientist II
The Senior Data Scientist II role is part of the Software Development Data Team which is overseeing the activities of the junior data scientists and provides advanced expertise on statistical and mathematical concepts for the broader Data Team. The Senior Data Scientist applies and inspires the adoption of advanced data science and analytics across the business.
The Data Scientist synthesizes and leverages the business's dataset and data to enhance the business' capabilities for overall goal achievement. The Senior Data Scientist is instrumental in helping the business continue its evolution into an analytical and data-driven culture.
This role of the Senior Data Scientist supports relevant stakeholders through quantitative analytics, and the application of appropriate advanced analytics for the business's key initiatives.
Responsibilities - Senior Data Scientist II

• 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

Professional Skills - Senior Data Scientist II
These are the professional skills we would expect from an individual fully established in this role.

• Verbal Communication - Proficient
• Written Communication - Proficient
• Teamwork - Proficient
• Relationships - Proficient
• Negotiation - Proficient
• Organizational Awareness - Proficient
• Learning Agility - Proficient
• Analysis - Proficient
• Problem Solving - Proficient
• Process Orientation - Proficient
• Prioritization - Advanced

Role Specific Skills - Senior Data Scientist II

• 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 - Senior Data Scientist II
Minimum Qualifications

• Bachelor's degree in a quantitative or technical field such as mathematics, statistics, computer science, or engineering with 8 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 3 or more years of experience in a data science and/or predictive analytics role (Masters or Ph.D. strongly preferred)

Other Relevant Qualifications

• Experience with natural language processing.
• Advanced knowledge of Data Warehousing and BI best practices
• Experience with big data tools such as Spark, Hadoop, etc.
• Experience with Tableau or Superset.

Please note, this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities, and schedule may change at any time with or without notice.
SMS Assist is an Equal Opportunity Employer (EOE) that welcomes and encourages all applicants to apply regardless of age, race, color, religion, sex, sexual orientation, gender identify and/or expression, national origin, disability, veteran status, marital or parental status, ancestry, citizenship status, pregnancy or other reasons prohibited by law.
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