The common responsibilities for this position include delivering actionable analytics and insights to drive business transformation across various areas such as operations and sales. Responsibilities involve designing, developing, and deploying machine learning models from MVP to production, ensuring continuous support and adaptation to changing business needs. The role requires collaboration with stakeholders to develop and implement data science solutions and to translate business challenges into quantitative solutions. Additionally, leading the end-to-end data science lifecycle, monitoring model performance, and initiating improvements to ensure sustained business value are key duties. The position also entails mentoring junior data scientists, developing robust data pipelines, and conducting exploratory data analysis to communicate findings effectively to both technical and non-technical audiences.
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