What We Do

We are a startup committed to bringing autonomy where it is needed the most. Our products have helped some of the world’s largest CPG companies transform their sales and supply chains into increasingly autonomous, self-learning systems — unlocking efficiencies and resulting in better, more affordable consumer experiences.

But autonomous selling is just the beginning. we know that Autonomy can help organizations tackle much more, from delivering critical goods and services more affordably, sustainably, and equitably to the world, to reducing green premiums on renewable energy to compete more effectively with fossil fuels.

How You’ll Help

• As a Data Scientist, you will help build the framework that will power our new products and initiatives across our business
• Collaborate with machine learning scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.
• Develop data-driven business insights and work with cross-functional partners to identify opportunities and recommend prioritization of product, growth, and optimization initiatives.
• Designing and implementing experimentation frameworks and evaluation methodologies to measure the impact of business decisions on short- and long-term customer and financial results
• Onsite meetings, troubleshooting, and iteration with customers to delve into the specifics of their problem sets and how our products can help

Preferred Qualifications

• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
• Ability to write code (Python, SQL, etc.) for analyzing data and building statistical and machine learning models and algorithms.
• Familiarity with specific packages such as pandas, sklearn, numpy and alike.
• Ability to explore data to guide hypothesis tests and modeling
• Ability to design and develop models to drive key business and product decisions

Interests

• Reinforcement/Active Learning
• Automation of code/analysis
• Engineering systems
• Customer growth

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