Product Management Data Scientist

Job LocationUS


Candidates must live in/near Atlanta, GA, South Florida or be willing to relocate.

The Data Scientist plays a key role in understanding & evaluating our data, identifying trends/patterns and leveraging this knowledge to plan for future including developing new product features, forecasting flow of shipments in network and pro-actively managing the performance quality of our network.

Essential Duties & Responsibilities:

  • Work cross functionally with Subject Matter Experts (SMEs) to define analytic requirements and formulating the analytics that meet the requirements
  • Develop data models which help optimize and improve work of e-commerce functions
  • Understand the flow of data in our domestic product portfolio and define new solutions to capture the right data to help measure performance (and pro-actively identify future issues/concerns of meeting delivery promise)
  • Understand emerging machine learning and pattern recognition algorithms and work with the team to integrate state-of-the-art algorithms into various solutions including product performance
  • Become a SME for all domestic product portfolio data sources and help define interfaces across various data points to consolidate to produce required analytics
  • Gain transportation industry knowledge to understand and lead analyses of customer injection, market trends and competitive landscape

Education & Experience:

  • Bachelor’s and master’s degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, data science or computer science).
  • 5 years of related work experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software

Requirements & Skills:

  • Robust understanding and knowledge of statistics and data analysis concepts
  • Strong math skills especially in Calculus, Linear Algebra, Probability & Statistics
  • Detailed knowledge of database, data analytics and visualization tools
  • Understanding and experience in Azure and ADLS Gen 2
  • Experience in using Azure BI tooling: Power BI, Azure Synapse and Azure Data Explorer, SQL
  • Strong coding skills in SQL
  • Experience in data mining and understanding of machine-learning and operations research is an advantage
  • Analytical mind and business acumen
  • Problem-solving aptitude
  • Excellent communication and presentation skills
  • Ability to work individually or within a team in a fast paced environment
  • Ability to lead cross-functional teams and indirectly manage more junior team members
  • Proficiency in Excel, PowerPoint, MS Access is a plus
  • Knowledge of using machine learning workflow/toolkits i.e. Kubeflow and analytics engine i.e. Spark is a plus
  • Familiarity with other data analytics tools, data frameworks (e.g. Hadoop) is an asset
  • Knowledge of Python will be a plus

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