Data Scientist – Genomic Prediction – #01SR1
Produce more. Conservemore. Improve lives. That???s Monsanto???s vision for a better world. Achievingthis vision demands revolutionizing agriculture through technology. Data Science is centralto attaining this transformation. We are seeking exceptionally talentedindividual with a passion for innovation to lead a data science team in ourGlobal Analytics Team within the Breeding Organization. The global analyticsteam is a cutting edge group that analyzes big data to developpredictive/prescriptive models to accelerate Monsanto???s product development. Aspart of our diverse, highly dynamic group, you will be driving big datachallenges and will lead a team of exceptional data scientists with diversebackgrounds (Mathematicians, Statisticians and Engineers) to foster your careergrowth and development while delivering next-generation scientificbreakthroughs. You will provide strategic technical and project leadershipin a fast paced R&D team environment to accelerate our efforts on buildinga data-driven product pipelineMajor 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.Qualifications: 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.).Apply for this job.