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Graduate Program - Growing with Data - Job Opportunity at KWS Group

Einbeck, Germany
Full-time
Entry-level
Posted: February 19, 2025
Hybrid
EUR 45,000 - 55,000 annually for graduate program positions in German agtech sector

Benefits

Comprehensive professional development budget with annual allocation
High-end technical equipment and ergonomic workstations
Subsidized canteen with full meal service
Work-life balance support with 30 days vacation
Mobile working arrangements
Capital formation benefits
Christmas and holiday bonuses
Childcare allowance
Company bike program
Free parking

Key Responsibilities

Lead and execute 4 strategic data science projects across different business units
Drive data-driven decision making in agricultural innovation
Develop and implement advanced analytics solutions using IoT, AI, and robotics
Collaborate with cross-functional teams on breeding technology optimization
Manage international project rotations and stakeholder relationships
Contribute to sustainable agriculture initiatives through data science applications

Requirements

Education

Master's or MBA in STEM areas correlated to Data Science, Bioinformatics, Statistics or Information Technology

Experience

Entry-level or early career

Required Skills

Python and/or R programming Data visualization tools (PowerBI, Tableau, Spotfire, Quik) Leadership potential Cross-functional collaboration Fluent English Strategic thinking
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Sauge AI Market Intelligence

Industry Trends

Agricultural technology sector is experiencing rapid digital transformation with increased focus on precision farming and AI-driven solutions Growing demand for data scientists in agricultural biotechnology as companies invest heavily in R&D and digital capabilities Emergence of sustainable agriculture initiatives driving need for advanced data analytics in crop development

Role Significance

Likely part of a 5-10 person data science team within larger R&D organization
Entry-level position with significant project ownership and strategic responsibility

Key Projects

Genomic selection optimization through machine learning IoT implementation for field monitoring Predictive analytics for crop yield Digital transformation of breeding processes

Success Factors

Strong foundation in both technical and business aspects of data science Ability to translate complex data insights into actionable agricultural solutions Cultural adaptability for international assignments Project management capabilities with stakeholder management skills

Market Demand

High demand with growing trajectory due to increasing digitalization in agriculture and focus on sustainable farming solutions

Important Skills

Critical Skills

Data science fundamentals with agricultural context understanding Project management and stakeholder communication Cross-cultural collaboration abilities

Beneficial Skills

Agricultural domain knowledge Sustainability expertise Multiple language capabilities Experience with genomic data analysis

Unique Aspects

Combination of cutting-edge data science with traditional agriculture
International rotation opportunities in global locations
Direct mentorship from senior leadership
Focus on sustainable agriculture impact

Career Growth

2-3 years in program, potential for rapid advancement based on project success

Potential Next Roles

Senior Data Scientist Data Science Team Lead Agricultural Technology Manager Digital Transformation Manager

Company Overview

KWS Group

KWS Group is a leading global plant breeding company with significant investment in digital transformation and R&D

Major player in agricultural biotechnology with strong focus on innovation and sustainability
Global operations with strong European base and significant international expansion
Family-owned business culture emphasizing long-term development and innovation with strong support for employee growth
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