About The Role: 

We are seeking a talented 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. 

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 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 it to her scientists, engineers, and business leaders. 

Qualifications: 

• 2+ years of experience with data scripting languages (e.g., SQL, Python, R etc.,) or statistical/mathematical software (e.g., R, SAS, or MATLAB). 
• At least 2 years of experience and understanding of Microsoft Azure Synapse ML Tool. 
• 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). 

Additional Information:

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

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