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Created July 11, 2017 12:22
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Data and ML Specialist | Remote | AgFlow, Geneva, CH | http://www.agflow.com/
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data.md

Data and ML Specialist | Remote | AgFlow, Geneva, CH | http://www.agflow.com/

AgFlow specializes in the timely collection, organisation and distribution of agricultural trade analytics. We source data from public and private sources, create a common index so that different parties can find their exact needs and support their decision-making process.

AgFlow’s time sensitive data is served to customers via a web-based platform and soon API services. We now seek to onboard a Data Specialist who can take our data model, integration processes and analytics to the next level.

Profile

  • Passion for growing in a team and ability to think and execute at multiple attitudes: from strategy and vision to very hand-on implementation and details
  • Strong record of impactful change through data analysis and data products
  • Bachelor’s degree in a quantitative field (computer science, engineering, etc)
  • Extensive experience with languages for querying (SQL, Hive), preprocessing (unix, Python) and statistical analysis (R, Python, etc.)
  • Good grasp of modern machine learning techniques and their mathematical underpinnings such as clustering, recommendation systems, etc.
  • Good office knowledge, especially Excel since target users extensively use it
  • Excellent communication skills (both verbal and written); the ability to convey complex analysis results clearly and with conviction to all levels of stakeholders
  • Excellent organizational skills, attention to detail and analytical reasoning
  • Domain expertise in trading, agriculture, optimization, inference is favorable
  • Visualization experience is a high plus
  • Experience in modern machine learning libraries (Caffe2, Tensorflow, etc.) and productionizing machine learning model is a plus

Responsibilities

  • Own the continuous improvement of the AgFlow data model and taxonomy
  • Collaborate with engineers to build, operate and administrate workers and other data scraping / mining tools and devise means to optimize and auto-correct
  • Ensure the data model and reality efficiently informs our client-side development
  • Lead data reality to build intelligent and efficient machine learning products

To apply for the position, please send your resume and a sample of relevant work you have recently done to [email protected]

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