Purpose:<\/p>\n
\tThe Production Research Data Scientist will be responsible for data management systems and data analytics activities within the Africa and EMEA-A region.
\n\tAccountabilities include managing team databases, developing data management systems, securing data quality and integrity, data analysis and developing visualization and modeling tools.
\n\tLeads specific projects within the region and is part of a global data analytics network to support broad initiatives and represent Africa in the Global Data Analytics network to help shape global PR strategy, governance, and projects.<\/p>\n
Scope (regional, local, global):<\/p>\n
\tSupport Row Crop Data Science focusing on descriptive, diagnostic and prescriptive analysis.
\n\tData availability (data gathering, data quality, data access and database management system).
\n\tImplementing data projects supporting Global and Regional strategy in partnership with SPR Regional Leadership Team.<\/p>\n
Key Responsibilities:\u00a0<\/p>\n
\tProvide data management technical expertise & support, as needed, in solving critical business issues.
\n\tResponsible for consolidation, summarization, and analysis of Parent Test data to drive critical processes such as:\u00a0
\n\tRegional Portfolio Management Process
\n\tFoundation Seed Production Planting Instructions
\n\tHybrid Seed Production Planting Instructions
\n\tHybrid Seed Production Yield Forecasting across Africa
\n\tData source mapping, data gathering, data access to support Data Base building process.
\n\tIndependently develop algorithms in R and\/or Python for data quality processes, analyze and visualize large multivariate datasets
\n\tPerform specific projects (descriptive analysis, BI analysis and visualization), establishing a strong connection with regional & global teams.
\n\tAttend regional and global missions to support projects identification and results presentation.
\n\tDecision Analytics: Understands and articulates the advantages and limitations of project data and statistical models used in seed production.
\n\tInnovation: Actively learns and applies new tools e.g. SQL, Tableau, Spotfire. Power BI-Collaborates with subject matter experts, business stakeholders, and other analysts.
\n\tConsolidate, Monitor and Communicate to leadership statistical indicators to support data compliance and reliability.
\n\tSupport KPIs build up and follow up with action plans to team members.
\n\tSupport regional team with statistical data analysis.
\n\tSupport Production Research team with building data visualization and training on the use of data visualization tools.
\n\tManage Row Crop Production Research \/ Parent Test databases.
\n\tDevelop data management systems to ensure proper data QC processes and data integrity.
\n\tWork closely with RSA and SSA Research and Testing Mission Coordinators to drive sound data management.
\n\tProvide guidelines for database audit process and compliance.
\n\tActively participate on cross-regional teams and initiatives to leverage global data and knowledge, build consistent data processes, and leverage global information.
\n\tMust be able to travel and support the needs within the Africa region.
\n\tManage the Africa Production Support QMS system (ISO9001).<\/p>\n
HSE Responsibilities:<\/p>\n
\tLeading HSE efforts according to ISO 45001 and Bayer safety standards focusing on legal compliance and identifying safety risks applying the HIRA methodology.
\n\tAdherence to all applicable legislation, Bayer safety policies and procedures.
\n\tActively promoting the Bayer safety culture and best practices.
\n\tParticipation in compiling Risk assessments and Job safety analysis.
\n\tActively recording safety observation and near misses.
\n\tParticipating in 5WHY problem solving identifying corrective and preventative actions.<\/p>\n
Key Working Relations:<\/p>\n
\tData Insights and Pipeline Advancement Unit
\n\tSSA and RSA Research and Testing Missions
\n\tAgronomy and Technology Deploy Mission
\n\tFoundation and Commercial Seed Production
\n\tProduction Management
\n\tProduction Quality
\n\tBreeding (R&D)
\n\tPortfolio Management\u00a0<\/p>\n
Qualifications & Experience:<\/p>\n
Education:<\/p>\n
\tMSc. in Data Sciences or related Agricultural discipline with 5+ years\u2019 experience Agronomy\/Plant Science; or BSc\/MSc in Agronomy\/Plant Science with strong data analytics aptitude.<\/p>\n
Experience:<\/p>\n
\tExcellent project management and organizational skills.
\n\tExcellent communication \u2013 oral, written, under diverse circumstances and audiences.
\n\tStrong technical aptitude on data management, data analysis, data mining, data visualization tools, predictive analytics, and modeling.
\n\tA track record of successful project delivery.
\n\tDecision making and problem-solving skills.
\n\tAct in solving problems while exhibiting judgment and a realistic understanding of issues.<\/p>\n
Qualifications:
\nRequired:<\/p>\n
\tProven data science experience in the life sciences field.
\n\tStrong statistical skills.
\n\tExtensive experience processing, analyzing, and visualizing large datasets.
\n\tExcellent oral and written communications skills.<\/p>\n
Desired:\u00a0<\/p>\n
\tAdditional experience in Predictive Analytics, Modelling, and Simulation.
\n\tSound decision making and judgement skills.
\n\tSix Sigma or Lean manufacturing expertise.<\/p>\n
Functional Competencies:<\/p>\n
\tExcellent human relation skills, effective oral and written communication skills required. Capability to clearly present information and influence or persuade others (multilingual in local language \/ English).
\n\tThe ability to communicate with different reporting levels in multi-national and cultural organizations as an individual or a team.
\n\tAbility to work in a fast-paced global and multi-cultural seed company.
\n\tDecision making and problem-solving skills.
\n\tAct in solving problems while exhibiting judgment and a realistic understanding of issues.
\n\tChallenging the status quo to improve processes and the way things are done.<\/p>\n
Deadline:4th September,2025<\/p>\n
Apply via company website ( ) or<\/p>\n
jobs.bayer.com<\/p>\n
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