Indigo is a company dedicated to harnessing nature to help farmers sustainably feed the planet. With a vision of creating a world where farming is an economically desirable and accessible profession, Indigo works alongside its growers to apply natural approaches, conserve resources for future generations, and grow healthy food for all. Utilizing beneficial plant microbes to improve crop health and productivity, Indigo’s portfolio is focused on cotton, wheat, barley, corn, soybeans, and rice. The company, founded by Flagship Pioneering, is headquartered in Boston, MA, with additional offices in Memphis, TN, Research Triangle Park, NC, Sydney, Australia, Buenos Aires, Argentina, and São Paulo, Brazil.  www.indigoag.com

 

Responsibilities:

  • Lead teams of data scientists to solve complex agricultural problems by unifying high throughput laboratory data with mass field data with machine learning models to deliver on business scientific priorities
  • Perform end-to-end analysis from development of data specification requirements through data processing and normalization and statistical/probabilistic modeling to machine learning on an ongoing basis
  • Determine causal effects of Indigo’s microbial and agronomic treatments in real world conditions to further our understanding of where, why, and how our products work
  • Build machine learning models that predict business and scientifically relevant field outcomes and simultaneously increase our understanding of real-world agricultural data and the drivers of the outcomes we observe
  • Help to drive research and development by designing and developing visuals of data analyses and presenting these as compelling storyboards to non-technical audiences

Competencies:

  • Skilled at working complex analysis problems, identifying and appropriately applying advanced statistical analysis techniques and machine learning methods as necessary, and inferring causal treatment effects
  • Comfortable working with messy datasets; able to draw appropriate conclusions from ambiguous data and recommend future course of actions
  • Strategic, able to quickly prioritize and to lead a team with self-direction; happy to both teach and mentor teammates and learn new techniques
  • Thrives in a fast-paced, growth environment
  • Collaborates effectively across diverse teams; passionate about teaching quantitative skills to laboratory and field scientists and continually increase the level of sophistication in experimental design and analysis
  • Strong desire to continue learning, identifying new techniques and technologies, and rapidly implementing them to keep Indigo at the cutting edge

Qualifications:

  • PhD degree in a quantitative discipline (e.g. statistics/applied math, physics, engineering, quantitative biology) or equivalent practical experience
  • 3+ years of industry experience in statistical and machine learning analysis of complex datasets
  • 2+ years experience leading teams and  complex projects
  • Advanced programming experience in Python (preferred) or R. Working experience with a wide range of statistical, geospatial and machine-learning libraries (e.g scikit-learn, statsmodels, etc.)
  • Experience working with databases (SQL), structuring data, and scripting languages
  • Experience working in cloud systems such as AWS; fluency with the command line

 

 

Apply for this Job

* Required
  
  


U.S. Equal Opportunity Employment Information (Completion is voluntary)

Individuals seeking employment at Indigo are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. You are being given the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity/Affirmative Action record keeping, reporting, and other legal requirements.

Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.


Form CC-305

OMB Control Number 1250-0005

Expires 1/31/2020

Voluntary Self-Identification of Disability

Why are you being asked to complete this form?

Because we do business with the government, we must reach out to, hire, and provide equal opportunity to qualified people with disabilities1. To help us measure how well we are doing, we are asking you to tell us if you have a disability or if you ever had a disability. Completing this form is voluntary, but we hope that you will choose to fill it out. If you are applying for a job, any answer you give will be kept private and will not be used against you in any way.

If you already work for us, your answer will not be used against you in any way. Because a person may become disabled at any time, we are required to ask all of our employees to update their information every five years. You may voluntarily self-identify as having a disability on this form without fear of any punishment because you did not identify as having a disability earlier.

How do I know if I have a disability?

You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

Disabilities include, but are not limited to:

  • Blindness
  • Deafness
  • Cancer
  • Diabetes
  • Epilepsy
  • Autism
  • Cerebral palsy
  • HIV/AIDS
  • Schizophrenia
  • Muscular dystrophy
  • Bipolar disorder
  • Major depression
  • Multiple sclerosis (MS)
  • Missing limbs or partially missing limbs
  • Post-traumatic stress disorder (PTSD)
  • Obsessive compulsive disorder
  • Impairments requiring the use of a wheelchair
  • Intellectual disability (previously called mental retardation)
Reasonable Accommodation Notice

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

1Section 503 of the Rehabilitation Act of 1973, as amended. For more information about this form or the equal employment obligations of Federal contractors, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.