WSP is seeking an Early Career Data Scientist to work on providing local technical assistance for collecting, interpreting, publishing, and warehousing of data for project numbers, market research, logistics, aggregation, and extracting meaning to combat climate change and promote sustainable development.
Requirements
- Familiarity with business intelligence tools (e.g. Tableau), and big data technologies (e.g. Hadoop, Spark).
- Familiarity with computer programing databases, coding and testing (e.g. SQL).
- Familiarity with data management practices, performing exploratory data analysis, and employing research techniques.
- High level of mathematical acumen.
- Familiarity with statistics and predictive models.
- Proficient with Microsoft Excel.
- Familiarity with computer programming languages
Responsibilities
- Under general supervision, assist with sourcing, collecting, compiling, and analyzing structured and unstructured data from the field work, surveys, blueprints, spreadsheets, financial reports, computer-generated reports, and other matrices and disparate sources.
- Assist with performing basic professional data scientist work with identifying the data-analytics problems that offer the greatest opportunities to the assigned task.
- Under general supervision, assist with preparing data, visualizations, and reports summarizing research and specifications with findings and conclusions; generating complete, accurate, and concise documentation using tables, charts, calculations, and illustrations.
- Apply Statistical and Machine Learning methods to specific business problems and data.
- Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cleaning, validating, and cross-lingual alignment/mapping, etc.
- Under general supervision, assist with assigned aspects of the design, development, evaluation, and release of highly innovative models that elevate the customer experience and track impact over time.
- Triage client requests to ensure project success to include completion in time and for the results to be useful.
Other
- Bachelor’s Degree in Data Analysis or related field.
- 0 to 1 years of relevant post education experience working as a data scientist/analyst.
- Ability to work independently under general supervision, as well as part of a team to meet business objectives.
- Ability to work schedules conducive to project-specific requirements that may extend beyond the typical workweek.
- Occasional travel may be required depending on project-specific requirements.
