Data Scientist

POSTED: July 8, 2021
BUSINESS: Inari Agriculture, Inc.
START DATE: Immediate Availability


We are looking for an experienced Data Scientist to join our growing Product Development team.  The role will be based in West Lafayette, Indiana.


  • 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 quality 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 lead development of a data science roadmap(s) to enable these
  • 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 


  • MS or PhD in Computer Science, Statistics, Machine Learning, Quantitative Genetics, Computational Biology or other quantitative & relevant scientific field and 3+ years of relevant working experience
  • Demonstrated ability to apply machine learning and statistical techniques, develop models and algorithms to novel problems involving messy sets of big data
  • 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
  • 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


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

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