Data Scientist

What we’re looking for:
Arable is looking for a data scientist to join our community of scientists. This person would provide expertise and vision to contribute to a data-driven culture and inspire the adoption of new technologies to enhance an integrated weather and plant monitoring system.  This person will be working with a team of scientists and data scientists to prototype, improve, and collaborate with end to end engineers to provide customers with actionable information based on the highest-quality data. If you’re motivated by working on the complex technical problems that can have a real positive impact on the world, we’d love to talk! 

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.  This is an ambitious goal, but the need has never been greater to rethink how we will feed an ever-growing population and reduce our impact on natural resources. We believe the heart of the solution is 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 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 in India get what they need most: insurance in tough years.
  • 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:
  • Perform deep dive analyses to understand and optimize environmental measurements
  • Provide expertise on statistical and mathematical concepts in a production environment
  • Develop and implement state-of-the-art analytical algorithms for time series segmentation, classification, and recognition
  • Research, develop, and prototype measurements for real-time crop monitoring and decision agriculture
  • Collaborate with team members from prototyping through production to rolling out big data capabilities, analytic frameworks, and best practices inside of data science

What you bring - basic qualifications:
  • Advanced degree in a relevant computer or physical science or engineering discipline using any of these technologies
  • Substantial experience working on strategy and full-life cycle data science in Python, as well as experience working with data mining tools with Python and/or R
  • Experience with machine learning libraries such as xgboost, sklearn, Tensorflow, Keras, etc
  • An understanding of large datasets, the application of calibrations and analytics in a wide range of environments, and the implications of scalability across the globe
  • Team experience, specifically in cross-group collaborations with outstanding communication skills
  • Ability to obtain work authorization in the United States in 2018

Preferred Qualifications
  • Experience in digital sound processing

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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