Production Research Data Scientist at Bayer

Purpose:

• The Production Research Data Scientist will be responsible for data management systems and data analytics activities within the Africa and EMEA-A region.
• Accountabilities include managing team databases, developing data management systems, securing data quality and integrity, data analysis and developing visualization and modeling tools.
• Leads 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.

Scope (regional, local, global):

• Support Row Crop Data Science focusing on descriptive, diagnostic and prescriptive analysis.
• Data availability (data gathering, data quality, data access and database management system).
• Implementing data projects supporting Global and Regional strategy in partnership with SPR Regional Leadership Team.

Key Responsibilities: 

• Provide data management technical expertise & support, as needed, in solving critical business issues.
• Responsible for consolidation, summarization, and analysis of Parent Test data to drive critical processes such as: 
• Regional Portfolio Management Process
• Foundation Seed Production Planting Instructions
• Hybrid Seed Production Planting Instructions
• Hybrid Seed Production Yield Forecasting across Africa
• Data source mapping, data gathering, data access to support Data Base building process.
• Independently develop algorithms in R and/or Python for data quality processes, analyze and visualize large multivariate datasets
• Perform specific projects (descriptive analysis, BI analysis and visualization), establishing a strong connection with regional & global teams.
• Attend regional and global missions to support projects identification and results presentation.
• Decision Analytics: Understands and articulates the advantages and limitations of project data and statistical models used in seed production.
• Innovation: Actively learns and applies new tools e.g. SQL, Tableau, Spotfire. Power BI-Collaborates with subject matter experts, business stakeholders, and other analysts.
• Consolidate, Monitor and Communicate to leadership statistical indicators to support data compliance and reliability.
• Support KPIs build up and follow up with action plans to team members.
• Support regional team with statistical data analysis.
• Support Production Research team with building data visualization and training on the use of data visualization tools.
• Manage Row Crop Production Research / Parent Test databases.
• Develop data management systems to ensure proper data QC processes and data integrity.
• Work closely with RSA and SSA Research and Testing Mission Coordinators to drive sound data management.
• Provide guidelines for database audit process and compliance.
• Actively participate on cross-regional teams and initiatives to leverage global data and knowledge, build consistent data processes, and leverage global information.
• Must be able to travel and support the needs within the Africa region.
• Manage the Africa Production Support QMS system (ISO9001).

HSE Responsibilities:

• Leading HSE efforts according to ISO 45001 and Bayer safety standards focusing on legal compliance and identifying safety risks applying the HIRA methodology.
• Adherence to all applicable legislation, Bayer safety policies and procedures.
• Actively promoting the Bayer safety culture and best practices.
• Participation in compiling Risk assessments and Job safety analysis.
• Actively recording safety observation and near misses.
• Participating in 5WHY problem solving identifying corrective and preventative actions.

Key Working Relations:

• Data Insights and Pipeline Advancement Unit
• SSA and RSA Research and Testing Missions
• Agronomy and Technology Deploy Mission
• Foundation and Commercial Seed Production
• Production Management
• Production Quality
• Breeding (R&D)
• Portfolio Management 

Qualifications & Experience:

Education:

• MSc. in Data Sciences or related Agricultural discipline with 5+ years’ experience Agronomy/Plant Science; or BSc/MSc in Agronomy/Plant Science with strong data analytics aptitude.

Experience:

• Excellent project management and organizational skills.
• Excellent communication – oral, written, under diverse circumstances and audiences.
• Strong technical aptitude on data management, data analysis, data mining, data visualization tools, predictive analytics, and modeling.
• A track record of successful project delivery.
• Decision making and problem-solving skills.
• Act in solving problems while exhibiting judgment and a realistic understanding of issues.

Qualifications:
Required:

• Proven data science experience in the life sciences field.
• Strong statistical skills.
• Extensive experience processing, analyzing, and visualizing large datasets.
• Excellent oral and written communications skills.

Desired: 

• Additional experience in Predictive Analytics, Modelling, and Simulation.
• Sound decision making and judgement skills.
• Six Sigma or Lean manufacturing expertise.

Functional Competencies:

• Excellent 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).
• The ability to communicate with different reporting levels in multi-national and cultural organizations as an individual or a team.
• Ability to work in a fast-paced global and multi-cultural seed company.
• Decision making and problem-solving skills.
• Act in solving problems while exhibiting judgment and a realistic understanding of issues.
• Challenging the status quo to improve processes and the way things are done.

Deadline:4th September,2025