Our Business

We are a global leader in environmental consulting – made stronger with the recent acquisition of Wood’s Environment & Infrastructure business and Golder – with world-class expertise in environmental, social and governance (ESG), climate resiliency & sustainability (CRS), and earth sciences. Combined we have over 20,000 multidisciplinary professionals worldwide collaborating daily to protect and conserve natural landscapes, create firm foundations for communities to stand on, and champion sustainable development to combat climate change. 
 
As part of the team, you will have access to an unparalleled network of resources and endless opportunities to collaborate on exciting projects with diverse teammates from across the globe.

This Opportunity

WSP is currently initiating a search for an Early Career Data Scientist for our Portland, ME office.  The successful candidate will take part in providing local technical assistance for collecting, interpreting, publishing, and warehousing of environmental, physical, and chemical data. Tasks may include basic assistance in extracting, cleaning, loading, and presenting data as it applies to specific project-related goals to both internal and external clients. The ideal candidate generates accurate and concise documentation regarding assigned aspects of the project and ensures that responsibilities are delivered and adhered to with a level of quality that meets or exceeds acceptable industry standards for design, safety, and functionality.

Your Impact

• Under general supervision, assist with sourcing, collecting, compiling, and analyzing structured and unstructured data from the field work, surveys, spreadsheets, computer- and laboratory-generated reports, and other matrices and disparate sources.
• Ensure data quality throughout stages of acquisition and processing, including such areas as data sourcing/collection, normalization, transformation, cleaning, validating, cross-lingual alignment/mapping, data migration projects.
• Maintain and manage environmental data for multiple small to largescale projects within relational databases, following general data management standards for quality and accuracy.
• 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.
• Assist with performing basic professional data scientist work with identifying the data-analytics problems that offer the greatest opportunities to the assigned task.
• Apply Statistical and Machine Learning methods to specific business problems and data, if needed.
• 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.
• Perform quality checks on the work of other analysts and support the data analytics team in troubleshooting and problem-solving data requests and technical issues.
• Respond to client requests to ensure project success to include completion in time and for the results to be useful.
• Introducing, maintaining, and updating analytical criteria proffered by state and national regulatory agencies.
• Assist with professional deliverables on projects and proposals.
• Complete training on assigned tasks.
• Exercise responsible and ethical decision-making regarding company funds, resources, and conduct, and adhere to WSP’s Code of Conduct and related policies and procedures.
• Perform additional responsibilities as required by business needs

Who You Are

Required Qualifications

• Bachelor’s Degree in Data Science/Analysis, Environmental Science, Math, Computer Science, or related field.
• 0 to 1 years of relevant post education experience working as a data scientist/analyst or environmental scientist.
• Familiarity with relational databases (SQL-Server, EQuIS)
• Familiarity with computer programing, coding, and testing (e.g. SQL Python, R).
• Familiarity with data management practices, performing exploratory data analysis, and employing research techniques.
• Analytical mindset with an ability to exercise sound judgement in evaluating situations, applying logic, and making decisions.
• Capable interpersonal and communication skills when interacting with others, and effectively articulating complex data in a simple, actionable manner.
• Capable self-leadership with attention to detail, accuracy, multi-tasking, and prioritization of responsibilities in a dynamic work environment.
• Ability to work independently under general supervision, as well as part of a team to meet business objectives.
• High level of mathematical acumen.
• Familiarity with statistics and predictive models.
• Proficient with Microsoft Excel, Microsoft Access, and Power BI.
• Proven track record of upholding workplace safety and ability to abide by WSP’s health, safety and drug/alcohol and harassment policies.
• 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.

Preferred Qualifications:

• A member of and/or actively participate in local professional practice organizations.

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