Senior Data Scientist

চাকরির বিবরণ

Department: Data Science

Location: ifarmer Limited

Employment Type: Full-time

Probation Period: 6 months

Salary Range: BDT 120,000 – 150,000

Job Overview

As a Senior Data Scientist at ifarmer, you will be a strategic architect of our data-driven ecosystem. You will lead the development and integration of advanced analytical solutions across financial risk modeling, geospatial intelligence, forecasting, and Generative AI to strengthen decision-making across the agricultural value chain.

This role combines hands-on technical expertise with strategic leadership. You will design proprietary models, develop scalable data products, and evaluate external technology partnerships to accelerate innovation and deliver measurable business impact.

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.

দায়িত্ব

• 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.

যোগ্যতা

• 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.

সুবিধা

• 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

দক্ষতা

• AWS
• Azure
• Computer Vision
• GCP
• Geospatial Analysis
• LLMs
• Machine Learning
• MLOps
• Python
• PyTorch
• Scikit-learn
• SQL
• TensorFlow