BlueGrace Logistics

Jr. Data Scientist - Riverview, FL

Job Locations US-FL-Riverview
Job ID
2024-3589
# of Openings
1
Category
Analytics
Position Type
Full-Time

Job Summary

This role is responsible for analysis & modeling to develop data-driven solutions. Will assist in the maintenance and improvement of existing systems, while also developing new solutions for future systems.

 

Please note that this is an on-site position based in Riverview, FL. 

 

What does a typical day look like?

  • Aid in the redesign and modeling of pricing algorithms
  • Analyze pricing strategy, strategic portfolios, and risk by combining business acumen and analytics skills.
  • Collaborates with the analytics team to improve existing models, and create new data driven solutions
  • Aid in the development of LLM powered agents
  • Use predictive modeling to optimize, generate revenue and drive efficiency
  • Participates in innovation and R&D
  • Assists in ETL and data migration processes
  • Develop processes and tools to monitor and analyze model performance
  • Analyze operational and financial variances to understand trends and implications
  • Provides proactive analysis and subsequent recommendations identifying opportunities for improvement
  • Create ad-hoc analyses that help drive business strategy and improve efficiency
  • Gather, organize and make sense of disparate data sets
  • Prepare high quality analysis, communications and presentations. Presents results in a clear and compelling way to stakeholders

 

What are we seeking?

  • Intermediate knowledge of Python
  • Intermediate knowledge of SQL databases
  • Self-driven and creative; Comfortable in a project-based environment
  • Strong analytical thinking, problem-solving and data manipulation skills are required
  • Experience applying data science in school projects or the professionally
  • Minimum of 1-5 years of work or educational experience creating and using machine learning algorithms and statistics: regression, simulation, scenarios, modeling, decision trees, etc.
  • Basic knowledge of decision trees
  • Basic knowledge of neural networks
  • Basic knowledge of Large Language Models
  • Basic Excel knowledge
  • C# is a plus, but not required

 

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