The common responsibilities for this position include serving as a key client-facing contributor, collaborating with the business to translate unstructured business questions into quantitative problems, and providing advanced analytics support, including machine learning and statistical modeling. The role involves advising on appropriate analytical models based on available data and technology, evaluating machine learning algorithms and models, and providing technical recommendations for decision-making. Additionally, responsibilities include prototyping advanced analytics and machine learning solutions, optimizing them iteratively for business partners, monitoring data science product performance to ensure the delivery of expected business value, and initiating necessary corrective actions. The position also requires anticipating needs and leading the implementation of capabilities such as data modeling, algorithms, new technology, and partnerships.
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