Senior Data Scientist - remote sensing data AWS (PHD Only)

Position Summary: We are seeking a highly motivated Senior Data Scientist with an extensive background in environmental modeling, particularly in row crops such as soy and cotton. The ideal candidate will have strong experience in data processing and machine learning programming in Python, as well as proficiency in building scalable solutions on the AWS platform. Experience with remote sensing data in modeling is highly preferred. This role will focus on leveraging data-driven insights to enhance agricultural practices and promote sustainability.

Key Responsibilities:

• Develop and implement sophisticated environmental models to assess the impact of various factors on the growth and yield of row crops, specifically soy and cotton.
• Utilize Python for data processing, analysis, and machine learning to extract actionable insights from complex datasets, including remote sensing data.
• Build and deploy machine learning models and data solutions on the AWS platform, ensuring scalability, reliability, and performance.
• Collaborate with agronomists, environmental scientists, and other stakeholders to integrate domain knowledge into modeling efforts and data solutions.
• Conduct research on environmental variables affecting crop performance, utilizing remote sensing data to enhance model accuracy and predictive capabilities.
• Present analytical findings and model outputs to technical and non-technical stakeholders through comprehensive reports and visualizations.
• Mentor and support junior data scientists in best practices for data analysis, machine learning, and environmental modeling.
• Stay updated on industry trends, technological advancements, and best practices in agricultural data science, environmental modeling, and remote sensing.

Qualifications:

• Master s or Ph.D. in Data Science, Environmental Science, Agronomy, or a related field.
• Minimum of 5 years of experience in data science or environmental modeling, with a focus on agricultural applications, particularly row crops like soy and cotton.
• Proficiency in Python for data processing and machine learning, with experience in libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow.
• Demonstrated experience building and deploying solutions on the AWS platform, including services such as S3, EC2, Lambda, and SageMaker.
• Familiarity with remote sensing data and its application in environmental modeling is highly preferred.
• Strong understanding of statistical analysis and machine learning techniques applicable to environmental data.
• Excellent problem-solving skills and ability to work independently and collaboratively within a team.
• Strong communication skills, with the ability to convey complex data insights to diverse audiences effectively.