Data Scientist

POSTED: October 7, 2021
BUSINESS: Inari Agriculture, Inc.
POSITION TYPE: Full-time
START DATE: Immediate Availability

ABOUT THE ROLE

We are looking for an experienced Data Scientist to join our growing Product Development team.  The role reports to the Director of Predictive Modeling, and is based in West Lafayette, Indiana.

AS A PLANT BREEDING DATA SCIENTIST, YOU WILL…

  • Design and prototype genomic prediction models using latest advances in data science with primary focus on linear mixed models, Bayesian regression and machine learning
  • Analyze and maintain the quality of data pipelines and work with the data quality team to resolve issues. Ensure that high standards are maintained during datasets expansion
  • Use model outputs and strong business acumen to deliver insight, recommendations and solutions
  • Actively collaborate with the design and update of the UI
  • Write and review robust, well-documented and well-tested research code and code libraries that adhere to community standards and best practices.
  • Rapidly understand Inari’s product, research and development objectives and aid in the development of a data science roadmap(s) to enable them
  • Collaborate with a diverse team including bioinformaticians, quantitative geneticists, plant breeders, and software engineers to design, build and validate statistical and machine learning models and deploy / scale up these models
  • Design data generation, collection, and integration efforts to enable future research projects and experiments
  • Represent Inari at conferences, industry events, and within the broader data science community 

YOU BRING …

  • MS or PhD in Statistics, Machine Learning, Quantitative Genetics, Computational Biology, Plant Breeding or other quantitative & relevant scientific field and 3+ years of relevant working experience
  • Deep experience with data science tools and languages {Python, R} and their associated machine learning packages, software development / programming practices and computational infrastructure such as AWS to solve problems involving messy sets of data
  • Ability to visualize and present results, teach new concepts and explain your work to a wide variety of technical and non-technical audiences
  • Ability to work with a sense of urgency in a fast-paced, cross-functional environment and handle ambiguity gracefully
  • Strong communication skills, both written and oral
  • Curiosity; desire to continuously learn and have a meaningful impact
  • Demonstrated innovative, critical thinking, willingness to be bold and take risks
  • A collaborative approach, open to giving and receiving ideas, perspectives, and feedback
  • An interest in science and/or agriculture

BONUS QUALIFICATIONS…

  • Domain knowledge in agriculture, bioinformatics, biology
  • Previous experience working with plant genomic data, environmental data, remote sensing and other forms of spatial data

 

For more information and to apply go to https://grnh.se/82cc25da2us

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