Monsanto Global Technology Development Data Scientist in FOURWAYS, South Africa

Monsanto’s Global Technology Development organization is seeking a highly motivated Data Scientist to join our team in South Africa.

Job Summary

The successful candidate will be responsible for the design and analysis of our commercial field trials to demonstrate product performance. The Data Scientist will utilize statistical methodologies including predictive modeling and data mining techniques to deliver insight and recommendations for key field trial designs and business decisions. This role is also responsible for identifying, developing and implementing best management practices to optimize trial design and setup, data collection and validation, and data usability. This is a dynamic role that requires cross functional collaboration with stakeholders across our European and Asia/Africa Technology Development organization, with focus on supporting product positioning trials broadly across the commercial organization.


  • Provide statistical recommendations on experimental design during the planning stages of field activities

  • Build statistical models for the analysis of trial data based upon the finalized protocols for rapid analysis post-harvest

  • Provide clear and understandable validated analysis of trial results to internal customers which drive both strategic decisions, knowledge transfer, and marketing/sales support

  • Provide value added business recommendations and solutions based on innovative predictive analytics to accelerate product development and characterization

  • Apply statistical principles which maximize the predictive power of trial results including sample size, power calculations, trial design, and placement of experiments

  • Ensure quality control processes are established for verification and validation of data

  • Partner with IT teams to ensure data stewardship best practices are followed across data systems and processes from data entry through reporting

  • Develop and validate data cleansing, processing, and QA/QC procedures for the handling of spatially referenced data layers to increase understanding of the complex relationships between hybrid product performance and the environmental factors which influence such performance

Required Skills/Qualifications:

  • M.S. or Ph.D. in statistics, data science or other related quantitative field with heavy emphasis on statistic

  • 3+ years of experience with statistical programming packages (R, Matlab, SAS, JMP, etc.)

  • Demonstrated excellence in presentation and communication skills

  • Experience in both statistical analysis and agricultural field research with knowledge of key cropping systems

  • Expertise in a wide range of statistical techniques including, but not limited to experimental design, linear and non-linear mixed models, multivariate statistics, non-parametric analysis, and Bayesian statistics

  • Proficiency with data mining techniques and applications to identify patterns from large datasets

  • Experience in data management, summarization, and interpretation of data

  • Ability to work in a team environment but function independently

  • Ability to prioritize and deliver across requests from multiple teams

  • Understanding of machine learning algorithms and building predictive models

  • Willing to travel internationally as needed

Desired Skills/Qualifications:

  • Experience with geospatial analysis and related programs (ArcGIS or QGIS)

  • Drive for continuous improvements and critical thinking which can be translated into research initiatives and reporting outputs that deliver business value

  • Experience modeling environmental data, including soils and weather data, especially for understanding genotypic interactions with environment

  • Strong foresight, planning, prioritization, and organization skills

  • Works with a sense of urgency, identifies and overcomes obstacles, takes necessary risks; balancing big picture concerns with day-to-day activities

  • Ability to lead and influence activities of cross-functional teams without direct reporting relationships

  • Experience with data flow (data stewardship) through multiple, integrated data system

  • Understanding of IT and database management

Organization: GLB TD Data Science & Analytics51180504_

Title: Global Technology Development Data Scientist

Location: Africa-South Africa-Fourways-Fourways

Requisition ID: 01HPA

Job: Product/Technology Development

Schedule: Full-time

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