Key Requirements:
Work with product teams to translate product feature requirements and use cases into experiments, and lead with the design, development, analysis, and reporting of results, leading to decisions that directly impact customers.
Actively pursue improving data science skills, including but not limited to problem-solving, writing readable/testable/efficient code, mastering Integrated Customer Experience Data, and learning to anticipate Customer and Data related product issues and needs – always staying ahead of the customer.
Frame business requirements and objectives as succinct data science problems.
Collaboratively work with the engineering, products, and customer success teams and communicate clearly and effectively regardless of seniority.
You will work with the agriculture team to ensure that all the set company goals are met.
Managing a data lake and date warehouse.
Qualifications:
Must have a relevant bachelor’s degree in IT / BBIT or Computer Science
Must have a minimum of 2 years as a Proven experience as a Data Scientist or Data Analyst
Must be proficient in querying databases and using statistical languages such as R and Python.
Strong understanding of statistical and data mining techniques.
Exceptional data visualization skills using QuickSight and PowerBI, that can then be applied by the engineering team to our platform.
Understanding of machine-learning and operations research
Knowledge of R and Python
Analytical mind and business acumen
Problem-solving aptitude
Excellent communication and presentation skills
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