Data Scientist I, Solar Programs (Remote -US)
New
Remote -USFull-TimeEntry
Salary95000 - 115000 USD per year
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Job Details
- Experience
- A minimum of 2 years of relevant work experience.
- Required Skills
- PythonETLGitMachine LearningNumpyTableauPandasRGitHubscikit-learn
Requirements
- A bachelor’s degree.
- A minimum of 2 years of relevant work experience.
- 1 year of Python experience, including libraries like pandas, numpy, and scikit-learn.
- Experience building basic dashboards or reports using BI tools (Tableau preferred).
- Experience developing analytical models or performing structured data analyses using a high-level programming language.
- Foundational knowledge of descriptive and introductory inferential statistics.
- Familiarity with common machine learning techniques and basic understanding of data warehousing concepts and ETL processes.
- Ability to work effectively on a team, manage individual work streams, and explain analytical results clearly to various audiences.
Responsibilities
- Execute assigned tasks to assist in the development and maintenance of analytical models, dashboards, and reporting outputs.
- Analyze datasets using established statistical techniques and basic machine learning methods to support defined analytical objectives.
- Apply foundational modeling approaches, including string‑matching and reconciliation techniques, to structured analysis tasks as directed.
- Prepare intermediate analytical outputs (tables, summaries, visualizations) for review and iteration.
- Execute data cleaning and transformation in Python or R, following established ETL and data processing workflows.
- Draft clear summaries of findings and document data sources, assumptions, and methodologies in accordance with team standards.
- Prepare charts, tables and dashboards visualizations to support stakeholder understanding and decision-making.
- Support collaboration with internal teams and project stakeholders by gathering requirements and clarifying data needs.
- Participate in code reviews, documentation reviews and team knowledge-sharing activities.
- Assist with maintaining organized project files, analysis artifacts, and reference documentation.
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