About ClearCut Analytics

ClearCut was founded in Chicago with the mission of revolutionizing strategic decision-making by the world's leading brands through data-powered business intelligence. With a focus on the Amazon marketplace, ClearCut provides a vast array of sales analytics to equip brands with the information they need to maximize their value.

Data Scientist Job Description

ClearCut Analytics is looking for an innovative, solutions-oriented Data Scientist to join our fast-paced company and growing Analytics & Product Development team. The Data Scientist will play a key role in our company’s growth through building a highly scalable infrastructure that allows our team to develop data-driven solutions to solve complex business challenges. The ideal candidate is passionate about technology, loves collaborating to solve a wide variety of challenges and interesting use cases. This role will report to ClearCut’s Chief Technology Officer.

Responsibilities

• Helping to build and drive the Data Science and Analytics roadmap
• Leveraging data to drive business solutions for clients that are presented through ClearCut’s SaaS platform
• Performing data collection, as well as developing custom models and algorithms to apply to data sets
• Using predictive modeling to increase and optimize business operations, customer experience, revenue generation, and other business outcomes
• Processing, cleansing, and verifying the integrity of data used for modeling and analysis, while enhancing processes and tools used to monitor model performance and input data
• Developing machine learning models and productizing AI-based solutions alongside product and development team
• Ideating new data-related concepts and applications then overseeing projects through deployment
• Taking end-to-end ownership of problem domains and continuously improving upon quantitative solutions

Requirements

• MS or Bachelor’s Degree in Mathematics, Statistics, CS/Engineering, or similar field
• 4+ years of professional experience in an analytics and data science environment utilizing quantitative analytics methodologies, experience in a SaaS or eCommerce environment a plus
• Experience writing programs/queries with data analysis tools and languages such as Python, R, SAS, AMPL, SQL, or Alteryx
• Hands-on experience with multivariate analytic techniques: linear and logistic regression, decision tree, cluster and factor analysis, time-series forecasting methods, SVM models, and/or neural networks
• Understanding of broad business principles and the ability to create solutions for real-world challenges
• Ability to thrive in a fast-paced, entrepreneurial environment
• Eagerness to learn and grow