Optoro is a fast-growing technology company that is revolutionizing the retail industry. Every year, more than 15% of retail goods are returned or simply never sell. This creates tons of unnecessary waste and costs retailers billions.
Our mission is to make retail more sustainable by eliminating all waste from returns. Our technology platform connects every returned item to its best home, thereby increasing profitability for retailers, giving consumers great deals, and reducing environmental waste.
Backed by some of the top investors in the country - including Kleiner Perkins, Revolution Growth, and UPS - Optoro is powered by its collaborative, unconventional, and resourceful employees who love solving big problems. We are looking for individuals with similar creativity and energy to help build a lasting company focused on the triple bottom line.
Optoro's Data Science team is responsible for turning our massive data resources into actionable insights that inform our products and business processes. Our team values creativity, willingness to embrace new methods and technology, and the ability to solve problems independently. The team uses a wide variety of machine learning techniques - from linear regression to deep learning to hierarchical Bayesian models - while constantly pushing the bounds on real-time experimental methods including multi-armed bandits, reinforcement learning and more! Our goal is to create a step-change increase in the world's ability to efficiently and effectively optimize returns across the entire Optoro platform. We're looking for experienced Data Scientists that are passionate about helping us to achive that goal, using any and all means necessary.
Develop models via a wide variety of machine learning techniques that have demonstrable impact on business challenges.
Manipulate complex, high-volume, high-dimensionality data from varying sources to provide insights that enhance Optoro's SmartDisposition routing algorithm and pricing approach.
Monitor results of deployed algorithms for accuracy, drift over time, and robustness to new data and enact methods to continuously improve models.
Design and execute experimental tests of business logic using multi-arm bandit frameworks, traditional A/B testing and more.
Produce reports and data visualizations using Tableau and other tools.
Strong mathematical and statistical background; B.A. (graduate degree preferred) in a relevant quantitative field (e.g. applied mathematics, statistics, physics, computer science, operations research); or equivalent work experience in a relevant role.
4+ years in a machine learning-focused role, including data extraction and cleaning, exploratory analysis, predictive modeling, and monitoring of deployed algorithms.
Deep understanding of data analysis, machine learning, and data communication across multiple domain areas.
Experience with the Python statistical programming stack (NumPy, Pandas, Scikit-Learn, TensorFlow, PyMC3, etc) and deploying algorithms in production environments. We also welcome candidates who come primarily from an R background but want to migrate to Python.
Ability to deal with ambiguity in a fast-paced, dynamic environment.
Proven experience thinking creatively about challenging, analytical problems.
Experience with supply chain, eCommerce, microeconomic theory, NLP, Ruby on Rails, Airflow, Kafka, and PostgreSQL are all a plus!
Optoro is an equal opportunity employer.