Responsibilities

• Research and apply state-of-the-art data science methodologies to support broader product and business strategies.
• Translate advanced business analytics problems into technical approaches in diverse domains such as vendor recommendation, work scheduling and technician dispatch, etc.
• Use machine learning to improve and automate processes in SMS proprietary tools.
• Apply data mining techniques to make recommendations based on data and communicate results through insightful visualizations, reports and presentations.
• Collaborates with other internal teams to develop, refine, and scale procedures and workflows.
• Performs ad-hoc projects and other duties as assigned.

Role Specific Skills

• Strong problem-solving skills with an emphasis on product development
• Experience using scripting languages and tools (Python, R, etc.) to manipulate data and draw insights from large datasets
• Experience using a machine learning framework e.g. scikit-learn, torch, shogun, weka, MOA
• Understanding of ETL tools and database architecture.
• A drive to learn and master new technologies and techniques
• Familiar with the following software/tools/platforms:
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using scripting languages: Python, SQL, etc.
  • Experience with cloud computing (ML) platforms (AWS, Azure, etc.)
  • Experience creating and using advanced machine learning algorithms and statistics: Regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience with data visualization tools and presenting data to stakeholders

 Professional Skills

These are the professional skills we would expect from an individual fully established in this role.

• Customer Service - Proficient
• Verbal Communication - Proficient
• Written Communication - Proficient
• Teamwork - Proficient
• Relationships – Proficient
• Learning Agility - Expert
• Analysis - Expert
• Problem Solving - Expert
• Process Orientation - Proficient
• Prioritization - Proficient

Qualifications

    Minimum Qualifications

• Bachelor’s degree required. Advanced degree preferred
• Currently enrolled in a full-time data science/analytics program at a top-tier institution

Preferred Qualifications

• 2-4 years of pre-program work experience in relevant technical or business field
• Advanced knowledge of Data Warehousing and BI best practices
• Experience with big data tools such as Spark, Hadoop, etc