The common responsibilities for this position include designing and implementing advanced algorithms and predictive models, optimizing model performance, enhancing data collection processes, and conducting statistical analysis. The role involves collaborating with stakeholders to translate business requirements into technical solutions, building data science solutions, and developing visualization tools and dashboards. Additionally, responsibilities include performing data cleansing and pre-processing, analyzing complex datasets, conducting exploratory data analysis, and communicating analytics results to stakeholders. The position also requires leading analytical experiments, establishing key performance indicators (KPIs), and contributing to the product development life cycle. Other duties involve developing machine learning platforms, supporting algorithm development, and ensuring data quality while promoting a data-driven culture within the organization.
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