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Senior Data Scientist

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Senior Data Scientist

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Senior Data Scientist

Skills

SQL QueriesPythonData ScienceData AnalysisMachine LearningAISupply Chain

1 month ago

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Important information


Contract type:

Permanent

Location:

Dhaka, Bangladesh

Work mode:

Onsite

Published on:

20 September 2026

What they need


Company Name: iFarmer

Location: Dhaka

Job Type: Full-Time

Workplace Type: On-Site

Job ID: IJOB202664965

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.

Responsiblity

  • 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.

Requirements

  • Experience: 4 to 5 years
  • Education:
  • Skills: Python, SQL

Last Date of Application: 21 October 2026

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