The common responsibilities for this position include developing and implementing data-driven solutions using statistical modeling and machine learning techniques, designing innovative algorithms and predictive models, collaborating with stakeholders to define project objectives and data requirements, conducting exploratory data analysis, and building data science solutions. Additional tasks involve optimizing algorithm performance, enhancing data collection processes, delivering actionable analytics and insights, creating visualizations and dashboards, and communicating results effectively. The role also requires identifying opportunities for process optimization, leading discussions with stakeholders, and mentoring team members while staying updated on advancements in data science.
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.
Job classifications that have advertised a position
Academic degree required as indicated by all job postings
Job subclassifications that have advertised a position