Data Scientist

We are looking for a Data Scientist who will support our pricing and business teams with insights and real-time price recommendations using company and market data. The ideal candidate is adept at using large and limited data sets to drive insights-based pricing. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in data sets and working with stakeholders to improve business outcomes. 

Key Responsibilities: 

• Take end-to-end responsibility in analyzing large amounts of data, creating complex models, improving their accuracy and deploying these models. 

• Deliver on pricing Annual Operating plan through surfacing insights to improve margins and revenue. 

• Work with stakeholders throughout the pricing and business teams to identify opportunities for leveraging company data to drive business solutions. 

• Mine and analyze data from company databases to drive optimization and improvement of pricing recommendations. 

• Assess the effectiveness and accuracy of new data sources and data gathering techniques. 

• Build real-time GenAI pricing models. 

• Develop custom data models and algorithms to apply to data sets. 

• Use predictive modeling to increase and optimize revenue and margin generation, and other business outcomes. 

• Develop company A/B testing framework and test model quality. 

• Coordinate with different functional teams to implement models and monitor outcomes. 

• Develop processes and tools to monitor and analyze model performance and data accuracy. 

Qualifications: 

• Bachelor’s degree in engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 8+ years'  of experience in Data Science field  

• Expertise using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. 

• Expertise creating and using advanced machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. 

• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. 

• Experience working with and creating data architectures. 

• Experience with GenAI applications. 

• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. 

• Excellent written and verbal communication skills for coordinating across teams. 

• A drive to learn and master new technologies and techniques. 

• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.