Data Science Professional
1 month ago
As a Data Science Student, you will be responsible for gaining proficiency in exploratory data analysis, performing it, and presenting insights. You will also prepare data sets for visualization and machine learning modeling, train machine learning systems using data annotation and benchmarking techniques, and help your colleagues assess AI/ML model performance and propose paths for potential improvement.
You will prepare data visualizations using industry-leading tools to summarize results for stakeholders and document your results - tell the story of the work, the successes, and the lessons-learned for posterity. Additionally, you will keep an open mind, in order to utilize your unique skills and your determination when other opportunities arise.
QualificationsYou should be an outstanding bachelor's or mathematics student in engineering, computing, or mathematical sciences. Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs, apply: we'd like to hear why you'll be a good fit regardless.
You should have analytical skills – ability to quickly analyze data to identify and visualize key insights – as evidenced by coursework, projects, or research requiring the analysis of large datasets. Coursework in statistics is also required, with a focus on applied statistics and probability.
Prior exposure to a statistical or scientific programming environment is helpful, but not required. You will become familiar with the Python scientific stack, R, PowerBI, and various data pipeline tools while working with us.
Excellent oral and written communication skills are essential, as you will work with both experts in the field and business staff, and need to communicate appropriately with both as needed.
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Data Science Professional
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