Responsibilities

• 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

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

• Strong mathematical and statistical skills.
• Programming Languages: SQL, Python
• Understanding of ETL tools and database architecture

Qualifications

    Minimum Qualifications

• Bachelor's degree in Math, Physics, Statistics, Computer Science, or with equivalent professional experience.
• Experience using a machine learning framework e.g. scikit-learn, torch or similar
• Experience with a statistical software (e.g. R, SAS)
• 0-2 years of experience as a data scientist, working closely within a business

    Other Relevant Qualifications

• PhD or M.S. in related fields.
• 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.