USDescription:
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
