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Senior Data Scientist

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Job Description - Senior Data Scientist

Agri Technovation is a leading AgTech & Input business that operates throughout selected international markets as part of a global group of Agri Technovation (AT) companies. As a fast-growing business, we are looking to expand our team with suitably qualified and experienced candidates looking for an opportunity to become part of our company and all it has to offer.



The Senior data Scientist position will require formulating, suggesting, and managing data-driven projects to obtain actionable insights to further the company’s business interest, ultimately creating a data-driven culture with associated new revenue streams and gain in internal efficiencies.


 


Main Responsibilities



  • Building innovate data-driven products through existing and new data sources.

  • Liaison with key role-players/ users of data insights

  • Linking potential revenue streams to new products built.

  • Participate in continuous improvement efforts to improve data quality and speed up delivery.

  • Troubleshoot data quality issues.

  • Transform data for the purpose of model building and analyses.

  • Identify new opportunities for data driven business in data science and analytics.

  • Respond to immediate needs and pull ad hoc data sets requests.


Skills and Capabilities



  • Excellent problem solving.

  • Strong data visualization and analytical skills.

  • Strong business acumen.

  • Ability to capture role-player/ data users’ interest and translate into appealing information.

  • Good communicator.

  • Technological savvy.

  • Self-motivated and proactive.

  • Meticulous attention to detail.


 Minimum Requirements


 Qualifications



  • Master’s degree in data science, statistics, computer science, or equivalent.


 Experience



  • 3 – 5 years’ experience in the data science and/or data analysis field.

  • Practical knowledge or know how in agricultural field advantageous.

  • Proven track record of successful models/products.


 Other specific requirements.



  • Proficiency in Python, PySpark, SQL and associated database technologies.

  • GIS and spatial data handling will be beneficial

  • Experience working with Azure, API integrations, and JSON data formats will be beneficial.


NOTE: Candidates MUST reside in South Africa and must be legally authorized to work in South Africa on a full time basis

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