R&D Senior Data Scientist (sustainability domain)

Responsibilities

• Data Exploration & Analysis: conduct deep dives into large, complex datasets derived from food production processes, environmental monitoring, and other sources. Identify trends, correlations, and opportunities that can inform product enhancements and sustainability strategies.

• R&D & Experimentation: develop and test new analytical models, algorithms, and machine learning techniques to extract valuable insights. Pilot innovative methods for forecasting environmental impacts and resource optimization.

• Feature Ideation & Development: translate data-driven insights into proposed platform features or improvements. Work closely with product managers and engineers to design and implement solutions that help customers reduce waste, optimize resource usage, and improve overall sustainability performance.

• Performance Measurement & Validation: define metrics and KPIs to quantify the impact of proposed initiatives. Continuously evaluate the effectiveness of newly implemented features, refining models and methods as needed.

• Cross-functional collaboration: partner with product, engineering, and customer success teams to understand user needs, refine analytical approaches, and ensure that data insights align with broader business and sustainability objectives.

• Thought Leadership & Knowledge Sharing: stay current with industry trends, academic research, and emerging technologies related to sustainable agriculture, food systems, and environmental responsibility. Share best practices, cutting-edge methods, and new findings with the team.

Requirements

• Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.

• Technical Expertise:

  • Proficiency in Python, SQL, NoSQL, graph databases (Neo4j);

  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

  • Familiarity with cloud-based data platforms and big data technologies (e.g., AWS, GCP, Spark) is an advantage.

• Analytical & Problem-Solving Skills: demonstrated ability to interpret complex data, identify meaningful patterns, and translate them into actionable insights and strategies.

• Communication & Stakeholder Engagement: strong written and verbal communication skills. Able to present findings to both technical and non-technical stakeholders, clearly articulating complex concepts and value propositions.

• Adaptability & Innovation: comfortable working in a dynamic, research-oriented setting with evolving priorities. Able to think creatively, challenge assumptions, and pioneer new methods to address emerging sustainability challenges.

What We Offer

• Paid vacation and sick leaves in line with local standards
• Flexible working hours
• Possibility to work remotely
• Regular team buildings and company-wide trips
• Corporate lessons of English
• Medical insurance
• Support in preparation, as well as full reimbursement of professional certifications
• Corporate psychotherapist services
• Possibility to become a mentor in our corporate university
• Highly transparent processes towards compensation reviews and promotions
• Exposure to a rapidly growing, dynamic, and uniquely global industry
• Becoming part of the team that has been multiple times recognized among Top Software Development Companies according to Clutch