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| The Seattle Department of Transportation is seeking a college student, ideally a junior, senior or graduate student to work collaboratively with the Lead Data Scientist in order develop an internal data science communication channel, standard tools, code repository and process templates, and work on potential projects. The work will be conducted in a data-rich environment using standard collaboration and data science tools.
Educational Benefit to Student:
Data Science Analyst Intern will gain experience working in a data rich environment on interesting, dynamic, and complex transportation and mobility issues. The student will build technical skills and experience using data science practices in real-world applications, including data analysis, code development, and the use of analytical and collaboration tools. The student will also gain valuable experience in performance measurement, visual communication, technical writing, public policy, and social good issues. |
| Job Responsibilities: |
- Data cleaning, data analysis and support for data science projects. SDOT owns data from diverse and disparate sources, some of which may be large, scattered, and need cleaning and transformation before they can be explored and analyzed. Assist in processing, pre-processing, and transformation of large and complex data sets, sometimes referred to as “big data”, which is difficult to analyze using traditional spreadsheets. We are not building data warehouses, but we may collaborate with Seattle Information Technology staff for data pipelines.
- Domain Research. Assist in the application of robust research techniques to some projects. Although we will not publish scientific papers, there is a need to become subject matter experts in the transportation domain, learn from other municipalities and entities, conduct literature review, and document findings.
- Code development and visualization. Assist in the development of a portfolio of code templates and processes that use intermediate data science techniques relevant to City projects. We will develop a code repository with lightweight kernels that include:
- documented examples of templates and tutorials for commonly used data extraction, transformation, and API scraping,
- Intermediate machine learning templates and examples,
- Code templates for refined visualization communication,
- Geocoding and geospatial analysis techniques and coding tools
- Website and communication materials. Assist in the development of an internal communication channel to disseminate resources, services, and findings. The channel will include:
- Curated tools and resources
- Description of services that the data science team offers
- Examples and of data analysis projects
- Tableau dashboards and visualizations
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| Qualifications: |
| Minimum Qualifications:
Education:
Open all students, undergraduate and graduate students, who are enrolled in an accredited educational program preferably studying: Computer Science, Information Science or Transportation Planning.
Undergraduate students will need to maintain a 2.0 GPA or above throughout the internship.
Graduate students will need to maintain a 3.0 GPA or above throughout the internship.
Engineering students will need to maintain a 2.5 GPA or above throughout the internship.
Experience:
- Beginning to intermediate computer science techniques using Python Jupyter Notebooks,
- Experience analyzing data using traditional statistics
- Interest in civic technology and social good
- The ability to write computational code, scrape APIs and work with data that is too big or complex to analyze using Excel.
- Excellent written communication skills
Desired Qualifications:
- Research experience
- SQL
- github collaboration
- Experience working with large data sets (TB)
- Experience transforming geospatial and time series data
- Technical writing
- Data visualization using Tableau, Power BI, or open source tools
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| Additional Information: |
| Start/End Dates: Intern will start in late June/early July, 2018 and end June, 2019.
Schedule: Intern will work 20 hours/week. Work hours can be scheduled between 8:30 a.m. and 5:00 p.m.
Salary: undergraduates will be paid $16.56//hour; graduates will be paid $20.30/hour. Engineering interns will be paid $20.07 to $22.59 depending on class standing.
How to Apply: complete an online application and include the following:
- Unofficial transcript including current classes and GPA
- Cover letter
- Resume
- If available, attach or list your GitHub account or online code repository or portfolio
Incomplete applications will not be considered. |
