WSP USA is looking to solve business and technical problems related to data analysis, project management, and client satisfaction by hiring a data scientist/analyst to support technical staff, engineers, and project managers.
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.
- Familiarity with statistics and predictive models.
- Proficient with Microsoft Excel.
- High level of mathematical acumen.
- Prior experience within the engineering consulting industry is preferred.
Responsibilities
- With minimal 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.
- Perform basic professional data scientist work with identifying the data-analytics problems that offer the greatest opportunities to the task or project.
- Assist with the development of technologies, modeling techniques, load/pricing calculations, new experimental frameworks, and analytical strategies to devise and apply models and algorithms to mine stores of big data, identify patterns and trends, and discover future-ready solutions and opportunities.
- Work with cross-functional teams in executing project work for internal and external clients, assisting technical staff and project managers with risk identification and assessment, offering input, analysis, and actionable results.
- Collect and review data 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.
- 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.
- Use tools such as Tableau, Looker, and Google Data Studio to aggregate data from the ERP and other software to build and develop dashboards for both client-facing and internal purposes across the company that feature relevant KPIs and metrics.
Other
- Bachelor’s Degree in Math, Data Analysis, Accounting, Finance or related field.
- 1 to 3 years of relevant post education experience working as a data scientist/analyst.
- Ability to work independently with minimal 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.
