VP of Data Science

What We Are Looking For:

We are looking for a dynamic individual to lead Data Science at Arable. Data is the core of our business and we are scaling a unique global network that creates unprecedented access to high-quality data in agriculture and beyond. This is a rare opportunity to get in at the early stages of a great team, help lead a growing company as it scales, and become a leader in the industry. If you get excited by super challenging problems, that if solved can have a real positive impact on the world, this might be the role for you.

What We Do:

At Arable, our goal is to connect all the world’s farms and provide the highest-quality data to power predictive analytics that will help optimize the global food system.  The need has never been greater to rethink how we will feed an ever-growing population and better manage our natural resources. We believe the heart of the solution to these challenges lies in digitizing the analog world with high-fidelity data to help food producers optimize their operations.  If successful, we hope the impact of our work will improve the lives of farmers everywhere, help address greenhouse gas emissions, and be a major contribution to securing the global food supply for decades to come.

A few examples of the work we’re doing today:
  • Helping farmers around the world to reduce pesticide usage through advanced data and analytic techniques
  • Giving produce growers in California the tools to optimize yields and minimize waste 
  • Helping irrigated farmers in Nebraska manage water more efficiently and sustainably to protect our water supply


What You Will Do:

  • End-to-end life cycle from concept to production of critical predictive services and products
  • Develop and implement a robust data science roadmap in cooperation with product management
  • Provide ongoing insights and improvements in data quality
  • Leverage ML solutions to increase the quality and value of sensor data streams
  • Build a high performing data science team
  • Work closely with the CEO, CTO, and management team to optimize collaboration across the organization

Basic Requirements:

  • Advanced Degree in CS, Applied Math, Statistics, or another scientific field
  • Track record of continuous development & remaining current in a rapidly changing field

Experience and Skills:

  • Strong experience and interest in growing and leading teams
  • Practical experience with Machine Learning methods, common cloud-based data analysis tools and frameworks (Hadoop, Redshift,  SageMaker, Spark, SQL, R, etc.)
  • Extensive experience with Machine Learning development in Python
  • Experience with a modern Machine Learning framework such as TensorFlow or Torch
  • Experience with Machine Learning cloud services on Google, AWS or Azure
  • Practical understanding of building, cleaning and operationalizing data sets
  • Strong mathematical and statistical background
  • Domain knowledge of plant biology, weather, environmental and spatial data is a big plus
  • Experience with startups a plus
  • Ability to achieve operational excellence by instilling a data-driven mentality across the organization
  • Developing operational metrics and KPIs that are meaningful to the business and ensure successful business outcomes

What We Offer:

At Arable you will be joining a company of dedicated team players who bring together diverse expertise and a passion for building a more sustainable future. You’ll find no shortage of lively conversation around the lunch table about the food we eat and how it is produced. We are a fast-moving startup committed to providing a rewarding employee experience through the work we do, the team, compensation, and benefits including:

  • Excellent medical, dental, vision, life, disability benefits, and a 401k program
  • Ability to work closely with customers who are hungry for our product, and where can make a positive impact on their livelihood and the world
  • A focus on community involvement and career development
  • We are an equal opportunity employer and value diversity at our company. We are committed to creating an inclusive environment for all employees.

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