Junior Data Scientist

3 weeks ago


Riverview, United States BlueGrace Logistics Full time

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, and is an immediate opening with a target fill date of this Fall 2024. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.


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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