Data Scientist

Responsibility

The common responsibilities for this position include conducting data analysis and visualization, utilizing Python programming and other software to develop internal tools for data analysis and AI optimization. Build and evaluate data modeling, machine learning, and mathematical optimization; create and manage AI development and production infrastructure. Transform machine learning models into APIs for integration with other applications and conduct statistical analysis to guide decision-making. Collaborate across teams for AI adoption and best practices, and participate in energy performance analysis/audits. Maintain relationships with internal and external stakeholders and manage ad hoc projects as assigned. Analyze large and complex datasets using advanced statistical techniques and machine learning algorithms to extract insights. Develop predictive models and algorithms to address business problems and optimize processes, while communicating findings to both technical and non-technical stakeholders. Conduct exploratory data analysis to identify trends and insights, and design comprehensive evaluation metrics for model performance. Support the development of AI/ML models, including propensity and regression models, and assist in implementing data and analytics strategies to drive business outcomes.

Job Growth

Skills Requirement

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.

• Skill Categories
• Specific Skill Sets

Skills Distribution

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.

• More Than 70%
• More Than 50%
• More Than 30%
• More Than 10%