Data Science Leader

7 days ago


Chicago, Illinois, United States Spot Freight Full time
About the Role

We are seeking a talented Lead Data Scientist to join our team at Spot Freight. As a key member of our data science team, you will partner directly with senior leadership to understand and solve complex business problems using data modeling and analysis.

Key Responsibilities
  • Develop proprietary, dynamic pricing models for daily operational use using data modeling and analytical approaches.
  • Apply data science techniques, including machine learning, AI, and statistical modeling, to drive improved decision making across multiple functional areas of the organization.
  • Improve upon existing methodologies and tools by incorporating new data sources and implementing model enhancements.
  • Serve as a highly qualified technical resource to Spot's senior management team, with heavy involvement in driving continued growth and scaling of the organization.
  • Create and track accuracy and performance metrics (both technical and business metrics) of models and tools.
  • Develop and maintain technical documentation, and present to scientists, engineers, and business leaders.
Basic Qualifications
  • 3+ years of experience with data scripting languages (e.g., SQL, Python, R, etc.) or statistical/mathematical software (e.g., R, SAS, or MATLAB).
  • 1+ year of industry experience (trucking, logistics, supply chain, etc.).
  • API development experience.
  • At least 2-3 years of experience in quantitative analytics or data modeling.
  • Deep understanding of predictive modeling, machine learning, clustering, and classification techniques, and algorithms.
  • Fluency in a programming language (Python, C, C++, Java, SQL).
  • Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau, Power BI).

Visa sponsorship is not available for this position. This position is available at our Indianapolis, Tampa, or Chicago office locations only.


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