Jr. Data Scientist

The Junior Data Scientist is an essential member of the CSE's Transparency and Insights (T&I) team, supporting the organization's analysis, evaluation, and implementation of decarbonization programs. This role enhances the team's capabilities by ensuring efficient and reliable access to program data, managing, analyzing, and interpreting data, and contributing to analytics that determine the impacts of policy designs and technology deployments.

Essential Functions and Responsibilities:

Data Analysis and Insights Generation

• Extract, transform, analyze, and interpret data from diverse sources to meet both internal and external client requirements.
• Apply descriptive statistics, statistical models and machine learning techniques to derive insights from data.
• Ensure the quality and accuracy of data operations and analysis performed, implementing quality control (QC) measures.
• Document analytical methods and contribute to the development of standard operating procedures (SOPs).

Data Visualization and Application Support

• Develop and maintain web-based data visualizations, interactive maps, and reporting tools to communicate insights effectively.
• Facilitate the extraction and reporting of data from PostgreSQL databases, flat files, columnar file formats, and other data sources.
• Work under the mentorship of senior T&I team members to meet project objectives.

QUALIFICATIONS

Essential Knowledge, Skills, and Abilities:

Required

Technical Proficiency

• Proficient in Python for data and statistical analysis, utilizing libraries like pandas, matplotlib, and sklearn.
• Knowledgeable in object-oriented programming and ETL pipeline development.
• Experienced with software version control using Git.
• Strong skills in Microsoft Excel, Word, and PowerPoint.

Cloud Computing

• Basic knowledge of AWS services such as IAM, EC2 and RDS.

Soft Skills

• Exceptional attention to detail, along with strong organizational and problem-solving abilities.
• Excellent communication skills, both oral and written.
• Self-motivated with the ability to manage deadlines for multiple concurrent projects, using project management tools effectively.
• Proactive in communicating with team members in a remote environment and open to seeking and receiving feedback.

Special Interests

• A keen interest in data science applications within research and sustainable energy sectors.

Preferred

• Skilled in geospatial analysis, including the use of libraries like Geopandas and Shapely.
• A foundational understanding of the energy sector, including electric vehicles, energy efficiency, distributed generation, or energy storage.
• Experience with data visualization tools (e.g., Tableau, PowerBI, Plotly) and survey platforms (e.g., Alchemer).

Education:

• Bachelor’s degree in a field with substantial analytical content, such as statistics, economics, computer science, social science, environmental science, or engineering.

Experience:

• 1-3 years of experience in data analysis or a related field.

WORKING CONDITIONS

Work Environment:

• Works in a home (remote) or office environment
• Occasional evening and weekend work may be required to meet project deadlines.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Must have manual dexterity sufficient to operate a computer keyboard and other equipment customarily present in an office environment.