What You’ll Do:

• Define and execute the data science roadmap aligned with business priorities across agri-finance, supply chain, and operations.

• Lead the development of credit risk models, demand and price forecasting, and geospatial monitoring systems.

• Establish robust data architecture, governance, experimentation, and analytics frameworks.

• Drive a pragmatic Build vs. Partner strategy, leveraging external APIs and technologies where appropriate.

• Lead the adoption of LLM, voice-based AI, and intelligent automation to improve workflows and field accessibility.

• Develop computer vision and satellite-based solutions for crop/livestock health, produce quality, risk assessment, and operational monitoring.

• Ensure AI/ML solutions are production-ready, scalable, and reliable through effective MLOps practices.

• Collaborate with operations, finance, and field teams to translate data insights into actionable business solutions.

• Measure the real-world impact of data and AI initiatives and continuously improve models based on operational and field feedback.

• Mentor the data team, manage technology partnerships, and communicate technical concepts clearly to leadership and non-technical stakeholders.

What We’re Looking For:

• 4+ years of experience in Data Science, Machine Learning, or AI, including 2+ years in a leadership role.

• Strong proficiency in Python, SQL, and ML frameworks such as Scikit-learn, PyTorch, or TensorFlow.

• Hands-on experience in at least two areas: Credit Risk/Alternative Data Modeling, NLP/LLMs, Computer Vision, Geospatial & Remote Sensing, or Time-Series Forecasting.

• Experience deploying ML models in production, working with GCP/AWS/Azure, and integrating APIs.

• Ability to translate technical solutions into business value and strategy.

• Strong leadership, emotional intelligence, collaboration, and stakeholder management skills.

• Experience managing multi-stakeholder projects in fast-paced environments.

• Strong written and verbal communication skills in English and Bangla.

• Experience in agri-tech, fintech, or emerging-market analytics is preferred.

• Familiarity with satellite platforms such as Sentinel and Google Earth Engine is preferred.

• Knowledge of MLOps, data engineering pipelines, and experimentation design is an advantage.

Pay & Perks:

• Competitive salary package

• TA/DA for Field Visits

• Annual salary review

• Festival bonus

• Comprehensive health insurance coverage

• Weekly 2 days off

• Lunch facility

• Friendly, collaborative, and inclusive work environment

• Indoor & outdoor sports and recreational activities

• Opportunity to work with dynamic and cross-functional teams

• Culture that encourages learning, growth, and innovation

Apply Procedure:

If you think you are suitable for the position, you are requested to send your CV to

career@ifarmer.asia by mentioning Application for Senior Data Scientist in the subject line.