Data Analyst

  • Job Ref.No: 01172844
  • Budget:
  • Timeline: to be confirmed later
  • Closing on: 23/09/2021
  • Country: Singapore

Job Description

Part-timers & Freelancers are welcomed to apply this Full time position
Newly incorporated in April 2021, Aqualita Ecotechnology is a start-up focused on aquaculture technology. It is one of the portfolio companies of Temasek Lifesciences Accelerator (TLA) who aims to incubate, nurture and grow life sciences innovations into early-stage companies within its go-to life sciences incubator.

The Position
Data Analyst

  • 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
Job Requirement
The ideal candidate will demonstrate the following 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
  • We are happy to consider team members with the following exposure:
  • 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

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