Monsanto Data Scientist - Genomic Prediction in ST. LOUIS, Missouri

Produce more. Conserve

more. Improve lives. That’s Monsanto’s vision for a better world. Achieving

this vision demands revolutionizing agriculture through technology.

Data Science is central

to attaining this transformation. We are seeking exceptionally talented

individual with a passion for innovation to lead a data science team in our

Global Analytics Team within the Breeding Organization. The global analytics

team is a cutting edge group that analyzes big data to develop

predictive/prescriptive models to accelerate Monsanto’s product development. As

part of our diverse, highly dynamic group, you will be driving big data

challenges and will lead a team of exceptional data scientists with diverse

backgrounds (Mathematicians, Statisticians and Engineers) to foster your career

growth and development while delivering next-generation scientific

breakthroughs. You will provide strategic technical and project leadership

in a fast paced R&D team environment to accelerate our efforts on building

a data-driven product pipeline

Major Responsibilities:

  • Driving big datachallenges in our diverse, highly dynamic group.

  • Providing technicalcontributions in a fast-paced R&D team environment to accelerate ourefforts on building a data-driven product pipeline.

  • Using latest advances inmachine learning, predictive analytics and optimization algorithms. Identifyand drive the development and deployment of new methodologies globally, toaccelerate our pipeline and product development efforts

  • Predicting andoptimizing our product pipeline and improve probability of success of ourproducts.

  • Developing sustainable,consumable, accurate, and impactful reporting on model inputs, model outputs,observed outputs, business impact, and key performance indicators.

  • Communicating researchwith peers, and with appropriate calibration to stakeholders in small and largegroup settings. Acquiring support and partnership from cross functional teamsin the company, including engineering and IT teams at Monsanto globally.

Required Education &Skills/Experience:

  • PhD -OR- Master’s Degreewith 3+ years in industry experience in Animal or Plant Breeding, QuantitativeGenetics, Statistical Genetics, Statistics, Biostatistics, or related field.

  • Strong programming skilsl(R, Python or Scala)

  • Deep understanding of genomicprediction modeling and/or model machine learning techniques and their mathematicalunderpinning

  • 2+ year experience inSQL development skills writing queries.

  • Proven ability to tailormachine learning algorithms and/or complex linear mixed models (GBLUP, BayesianGenome-wide Regression, Ensembles, Deep Learning, etc.) to business problems incross functional team.

  • Proven ability tocommunicate complex qualitative analysis in clear, precise and actionablemanner.

Desired Education & Skills/Experience:

  • Proficiency in at leastone complied language (i.e. C/C++, Java, Fortran and etc.).

  • Proficiency in complexmatrix algebra and high dimensional predictive models (thousands+ of features).

  • 2+ years of experiencewith data visualization tools.

  • Experienceproductionizing machine learning/statistical model is a plus.

  • 5+ years experience with buildingR/Python packages with foreign language interfaces.

  • Experience with distributedcomputing and big data platforms

  • Experience with workingin Linux environment and/or AWS.

  • Experience with linearmixed model software/packages (ASREML, lme4, BLUPF90 and etc.).

  • Experience with machinelearning and deep learning packages (i.e. TensorFlow, Keras etc.).

Organization: GLB Breeding - Analytics & Pipeline Des51190876_

Title: Data Scientist - Genomic Prediction

Location: North America-USA-Missouri-St. Louis

Requisition ID: 01SR1

Job: Research & Development

Schedule: Full-time

At Monsanto, we value a diverse combination of ideas, perspectives and cultures. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, age, sex, sexual orientation, gender identity, gender expression, status as a protected veteran, or status as a qualified individual with a disability. If you need a reasonable accommodation to access the information provided on this website, please for further assistance.access our disability accommodations process

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