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Lead Data Scientist

2 months ago

Toronto, Ontario, Canada mccainfood Full time

McCain Foods is seeking a visionary Lead Data Scientist to spearhead our digital transformation in agriculture.

As part of our global technology team, you will play a pivotal role in developing and implementing cutting-edge data analytics solutions that revolutionize our potato supply chain.

We are committed to leveraging the power of data to enhance safety, yield, and quality across our operations. Your expertise will be instrumental in driving innovation and sustainability within our agricultural practices.

Job Responsibilities:
  • Lead the design, development, and implementation of data analytics strategies for digital agriculture initiatives, encompassing software systems for data collection, modeling, optimization, aggregation, and visualization.
  • Drive the integration of diverse datasets from various sources, including grower data, field data, machinery data, crop data, storage data, satellite imagery, and weather patterns.
  • Develop and implement machine learning algorithms to predict crop yields, optimize resource allocation, and identify potential risks or opportunities within our agricultural operations.
  • Collaborate with cross-functional teams, including agronomists, engineers, and product development specialists, to translate data insights into actionable strategies.
  • Stay abreast of the latest advancements in data science and artificial intelligence, exploring new technologies and methodologies to enhance our capabilities.
Qualifications:
  • Proven experience as a Lead Data Scientist with a strong focus on agricultural applications.
  • Expertise in machine learning algorithms, statistical modeling, and data visualization techniques.
  • Proficiency in programming languages such as Python or R, along with experience using data science tools and platforms.
  • Strong analytical and problem-solving skills, with the ability to interpret complex data sets and draw meaningful insights.
  • Excellent communication and collaboration skills, with the ability to effectively convey technical information to both technical and non-technical audiences.