Data Scientist, Agtech

Responsibilities

• Act as primary point of contact for understanding and deploying agronomic models in regions for smallholder solutions; Work closely with Agronomy, R&D and Data teams for developing the data products
• Gather requirements, establish good communications and set right expectations across the various stakeholders
• Drive innovation through ideation and quick prototyping of DataScience products
• Work with fellow data scientists to build Computer vision, NLP and other Datascience models with agronomical data
• Identify / manage risks & bottlenecks and proactively communicate to stakeholders
• Manage ML (Python) code base to ensure re-use of algorithms and modules across data team

Required Profile

• Proven track record of delivering DataScience products, primarily in Computer Vision and NLP techniques
• Knowledge in AgTech, agronomic crop modeling and empirical analysis is highly preferred
• Strong mathematical skills, statistical modeling and AI/machine learning; MS or PhD in mathematical or relevant field is preferred
• Good project management skills, managing customer expectations and stakeholder communications
• Experience in developing digital products and product lifecycle is desirable
• Proficient in SQL, Python based scientific and numerical libraries and machine learning techniques
• Experience in major AWS cloud infrastructure such as S3, Dockers and Lambda for model deployments, PoCs etc. . Knowledge/experience with Github code repository, Circle CI is desirable