Senior Data Science/ Analytics Consultant

About the role

The Senior Data Science/Analytics Consultant is responsible for the full stack of data analytics, from querying or procuring data, cleaning data, feature generation, problem formulation, error/success metric choice, machine learning/predictive model building, and translation of results into business action. This role will help advance Transportation Insight's data strategy and data-related business decision making. The Sr. Consultant will be expected to wear multiple hats, seek out new opportunities from the business and apply technology to solve a variety of data problems across our organization.

Responsibilities

• Act as a cross functional consultant on data science, data analytics related efforts that span the enterprise.
• Identifies appropriate analytical tools and methods; uses advanced knowledge of business analysis to perform quantitative analyses and predictive modeling.
• Be able to communicate and explain the results of more technical analyses to business partners in a digestible, visual fashion.
• Lead strategy development for data and analytics products to ensure the program becomes pervasive throughout the organization.
• Develop a high performing team focused on building strong analytical, data strategy, research and business skill sets while sustaining leading employee engagement and retention.
• A stakeholder in developing and maturing the Data Science strategy

Requirements

• Qualified applicants should have a Bachelor’s degree in Computer Science, Information Science or related field; equivalent work experience and aptitude is acceptable in place of degree.
• Experienced with Data Science practices and tools, such as Alteryx, R, Python, Gurobi.
• Familiar with 3PL business and supply chain concepts.
• Experience with ETL design and data warehousing concepts.
• Experience with reporting / analytic tools such as Tableau or Cognos.
• Experience with Oracle, MySQL and/or MS SQL Server and SQL query language required.
• Experience with CRM tools like Salesforce.
• Possess excellent communication and presentation skills required.
• Strong Work Ethic

Performance Metrics

• Deliver solutions according to the delivery schedule.
• Continuous improvement on predictive and machine learning models.
• Conform to industry standards for quality and effective data visualization and reporting.