Data Scientist

Job Description for Data Scientist

What is Farmdar?

Farmdar is an agritech company using AI and space technologies at scale for sustainable agriculture and climate adaptation. Our products—CropScan, YieldPro, and AgriChain—deliver actionable insights to farmers and agribusinesses, helping them increase yields, reduce input costs, and build climate resilience. Our mission is to become the world’s most trusted crop insights platform.

Job Title: Data Scientist

Job Type: Permanent

Location: Lahore - Hybrid

Role Overview:

We’re looking for a Data Scientist specialized in geospatial analytics and agritech to help transform satellite imagery and geospatial data into actionable agricultural insights. This role sits at the intersection of remote sensing, data science, and agronomy , and is ideal for someone who thrives in a startup environment , comfortable taking ownership, iterating fast, and delivering high-impact solutions that drive product and business outcomes.

Responsibilities:

Data Collection & Management

• Acquire, process, and organize satellite imagery and other geospatial datasets.
• Collaborate with internal teams and external providers to ensure data quality, completeness, and consistency.

Exploratory Data Analysis

• Perform statistical analyses and visual explorations of large-scale geospatial datasets to uncover trends, patterns, and anomalies.
• Detect and address data quality issues early in the pipeline.

Feature Engineering & Algorithm Optimization

• Derive and optimize geospatial features (e.g., NDVI, EVI, soil indices) from remote sensing data for predictive modeling.
• Enhance the scalability and performance of analytical workflows dealing with large imagery datasets.

Data Visualization & Reporting

• Build intuitive visualizations, dashboards, and analytical reports to communicate findings to both technical and non-technical audiences.
• Present key insights and recommendations to leadership, product, and agronomy teams to inform decision-making.

Cross-Functional Collaboration

• Work closely with agronomists, software engineers, and product managers to design data-driven solutions for real-world agricultural challenges.
• Translate technical outputs into actionable agronomic and business insights.

Research & Innovation

• Stay updated on advances in remote sensing, GIS, computer vision, and agritech applications.
• Experiment with emerging tools and methodologies to improve data accuracy, feature extraction, and insight generation.

Quality Assurance

• Validate models and analytics for accuracy, reliability, and reproducibility.
• Implement QA processes to maintain high data integrity and regulatory compliance.

Requirements:

Education

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

Technical Skills

• Strong proficiency in Python and core data science libraries ( NumPy, pandas, scikit-learn, TensorFlow, PyTorch ).
• Hands-on experience with geospatial data tools and libraries (e.g., GDAL, rasterio, shapely, geopandas ).
• Familiarity with remote sensing data (multispectral, hyperspectral, radar) and vegetation indices (NDVI, EVI, SAVI, etc.).
• Understanding of coordinate reference systems, projections , and geospatial data formats.

Analytical & Problem-Solving Skills

• Solid foundation in statistics, probability, and linear algebra .
• Ability to handle, analyze, and interpret large and complex geospatial datasets .

Domain Knowledge

• Background or exposure to agriculture, agronomy, or environmental science is highly preferred.
• Familiarity with crop phenology, soil science, or climate modeling is a strong plus.

Soft Skills & Mindset

• Excellent communication skills with the ability to explain complex concepts clearly.
• Proven ability to collaborate across interdisciplinary teams.
• Startup mindset: proactive, ownership-driven, and adaptable in a fast-changing environment.
• Strong organizational skills and the ability to manage multiple projects simultaneously.
• Commitment to continuous learning and professional growth in agritech and data science.

Equal Opportunity Provider:

At Farmdar, we believe in creating an environment where everyone has an equal chance to contribute, grow, and succeed. We want all colleagues to feel welcome and comfortable in the workspace. We discourage discrimination of any kind and encourage respect among our fellow colleagues. Our recruitment process is fair for all, regardless of race, age, gender, color, religion, social status, disability or ethnicity.