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
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
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
U.S. Employment Law (applicable for U.S. jobs ONLY): EEO Employer Minorities/Females/Protected Veterans/Disabled. For information about equal employment opportunity rights, please refer to this information from the U.S. federal government: ; .
EEOC PosterEEOC Supplement