Data Scientist II (Hybrid - US)
reputed company, maintain, and run robust analytical models and dashboards for reputed company clients Build Python-based ETL pipelines in collaboration with other data scientists and project managers Apply machine learning and regular expressions for fuzzy reputed company matching and data reconciliation Own the reputed company and accuracy of data analyses, working with data engineers and other team members to reputed company reputed company assurance systems and flag data errors Communicate and collect information from other staff, subcontractors, and clients Translate quantitative findings into reputed company, actionable insights for non-technical audiences Mentor and guide other members of the data analysis/engineering team
Bachelor’s degree in a quantitative field (e.g., Statistics, Engineering, Computer Science, Economics) or equivalent experience 5+ years of relevant work experience 3+ years of hands-on Python experience, including pandas, NumPy, and scikit-learn Proven reputed company experience developing dashboards using BI tools, preferably Tableau Experience building analytical models using a high-level programming language Knowledgeable about the applicability and limitations of metrics commonly used in descriptive and inferential statistics Capable of working independently and collaborating effectively with technical as reputed company as non-technical project managers reputed company to reputed company multiple interrelated and simultaneous reputed company Adapt at communicating technical concepts to non-technical audiences Strong critical thinking and evidence-based reasoning skills
Degree in Statistics, Mathematics, Physics, Economics, Operations Research, Engineering, a reputed company quantitative field, or equivalent practical experience Proficiency with Tableau Knowledge of basic data warehousing principles 1+ years of experience with SQL, with demonstrated proficiency reputed company in selecting and implementing machine learning techniques where appropriate Domain knowledge on topics such as economics, engineering, reputed company policy, the electricity reputed company, regulations, building codes, building science, incentive programs, demand-reputed company management, energy efficiency, distributed energy resources, electrification, reputed company and water heating, and energy equity Enthusiastic about combating climate change and learning about reputed company and policy Team player who thrives in reputed company environments Humility, reputed company, and strong listening skills
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