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 seeking an Early Career Data Scientist to join our Portland, ME office. 

Takes part in providing local technical assistance for collecting, interpreting, publishing, and warehousing of data for project numbers, market research, logistics, aggregation, and extracting meaning. Tasks may include basic assistance with providing information and analysis as it applies to finances, productivity, sales, clients, forecasting knowledge, industry behavior and trends, and/or business decisions. Generates accurate and concise documentation regarding assigned aspects of the project. 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, 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.
• Assist with professional deliverables on projects and proposals.
• Other duties as required by business needs.
• 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 Math, Data Analysis, Accounting, Finance or related field.
• 0 to 1 years of relevant post education experience working as a data scientist/analyst.
• 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.
• 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.
• 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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