The common responsibilities for this position include developing advanced modeling techniques and machine learning solutions, conducting systematic analytical experiments, and establishing actionable KPIs. The role involves analyzing large datasets to uncover trends, cleaning and validating data for accuracy, and collaborating with IT and engineering teams to facilitate data access and develop data products. The Senior Data Scientist will also identify and integrate new datasets, communicate analytical solutions to stakeholders, and lead project teams to execute R&D tasks. Additionally, responsibilities include mentoring junior team members, designing and implementing effective data-driven solutions, and staying updated on industry trends and emerging technologies. The position requires engaging with business stakeholders to identify opportunities and translating complex data insights into actionable strategies.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
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Academic degree required as indicated by all job postings
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