Data Scientist, Vanilla Steel

• At least 2 years of experience working in data science or machine learning or statistical modeling
• A degree in computer science, mathematics, statistics or another quantitative discipline
• An exceptional understanding of data analysis tools, techniques and limitations, statistics concepts, and A/B testing
• Experience applying theoretical models in an applied environment
• Experience working with data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. Matlab)
• Excellent communication skills (both verbal and written) and confidence in presenting ideas and findings to stakeholders with the right level of detail
• Ability to work well independently, understand data science fundamentals, be meticulous, and prioritize effectively

Desirable

• We are creating a Data Team to oversee data analysis, engineering, and science
• As a Data Scientist, you'll support our data-centric approach to spot trading opportunities based on inventory data and buyer preferences, with direct impact on our top-line
• Develop models and algorithms to aggregate, clean, structure and standardize supplier inventory data from various data sources and formats including Excel, PDF, ERP and unstructured natural language
• Develop material recommendation algorithms based on live material inventory, purchase behavior and buying preferences
• Evaluate algorithm performance to identify improvement opportunities
• Push new ideas into the design and concept funnel while keeping business priorities, trade-offs, and technical feasibility in mind
• Design and analyze large-scale A/B tests to continuously improve and iterate algorithm performance
• Create, develop, and maintain metrics on dashboards to measure algorithm performance and the value generated for our customers and for the company
• Proactively communicate, share your conclusions, and explain complex topics tailored to diverse audiences