Lead Data Scientist

4 months ago

Chicago, United States Spot Freight Full time

Today’s logistics marketplace is an ever-changing landscape where you can make your mark. Spot gives you the tools to tackle industry challenges for our partners. Here, initiative, drive, and teamwork form the basis for a rewarding, fast-paced career.

About the Role:
We are seeking a talented Lead Data Scientist who has a passion for solving business problems by providing critical & actionable insights through data modeling and analysis. You’ll partner directly with the most senior leadership at Spot, along with our data/technology teams to understand and solve complex business problems. You will be using our rich database of millions of data points to build a proprietary & dynamic pricing model, as well as other operational models that will greatly impact our growth, profitability & overall efficiency.

You would be a great fit for our team if you’re a self-starter who is passionate about exploring the intersection of real business problems with huge data sets and finding ways to deliver value to our daily operations. This person will be a game changer in an industry that is ripe for AI/data analytics.

Key Responsibilities:

Use data modeling & analytical approaches to develop proprietary, dynamic pricing models for daily operational use Apply data science techniques including machine learning, AI, and statistical modeling across multiple functional areas of the organization to drive improved decision making 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 & scaling of the organization Create and track accuracy and performance metrics (both technical and business metrics) of models & tools Create, enhance, 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.

#LI-ZH1

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