Snaphunt Pte Ltd – Data Analyst

• Opportunity to make a positive impact

The Job

Responsibilities:

• Develop data collection solutions to mine complex data sets from agronomy systems
• Use data science to capture, analyse and translate data into effective, practical and efficient processes to improve farming protocol
• Formulate and implement new data capturing techniques and processes
• Partner with Developments, Operations, Agronomy and IT teams to develop data driven analytical tools aimed at maximizing farm production.
• Develop data pipelines for automation, scalability, extensibility, and transparency within business, and its users
• Knowledge of IOT, cloud services and integration into simplified data capture ecosystem
• Ensure information systems meet requirements for predictive and efficient analytics
• Participate in discussions to make the right scientific or technical trade-offs to meet long-term strategic and short-term business needs

Ideal Candidate

Essential qualities:

• Analytical, organized and rigorous thinker: You are a detail-oriented, structured, flexible problem solver, and you are able to dissect complex problems into segments for analysis.
• A self-starter and fast learner who is able to multi-task
• A team player with positive attitude
• Able to work independently with minimum supervision
• Good time and process management and organisational skills
• Good verbal, written and interpersonal communication skills
• Excited about working in and contributing towards a new spinoff company

Qualifications:

• B.Sc in Computer Science, Machine Learning, Ag Business, Statistics, Business Analytics, Agronomy or a related field
• 3 or more years analytical experience, preferably in data mining, predictive analytics or agronomy
• 3 or more years of industry experience building advanced analytics models and machine learning products across one or more areas of Predictive/Prescriptive Analytics, Computer Vision and Image/Video Processing/Analytics, Natural Language Processing, Time Series Analysis will be an advantage
• Strong proficiency in data analytics programming languages and software

Ref: FRE7OW2TSQ