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Senior Data Scientist
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- In the outskirts of Mexico City, he combined his background of agricultural research and theoretical knowledge with careful experimentation and diligent data collection to run over 6,000 experiments - and he was ultimately successful, kicking off the Green Revolution that increased global crop yields by an estimated 44% and earned him a Nobel Prize.
- At Mercury, were looking to seed our team with candidates who can use their background in analytics applied with product development to accelerate the adoption of Mercury.
- You will develop various skills as a full-stack Data Scientist working on projects end-to-end and build deep domain expertise in the intersection of Data Science and Product
- Use a variety of exploratory, data visualization, and statistical techniques to uncover actionable insights, including A/B testing, cohort analysis, regression modeling, trend analysis, user segmentation, and machine learning.
- Have fluency in SQL, and other statistical programming languages (e.g. Python, R, etc
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