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Early Career Data Scientist

  • Job
    Entry Level / Graduate
  • Sustainability
  • Portland

AI generated summary

  • You need a Bachelor’s Degree in Data Science or related field, 0-1 years experience, coding skills, familiarity with databases, strong analytical mindset, math acumen, teamwork ability, and proficiency in data management tools. Safety conscious and willing to travel occasionally.
  • You will assist with sourcing, cleaning, analyzing data, preparing visualizations, identifying data analytics problems, applying Statistical and Machine Learning methods, developing innovative models, troubleshooting technical issues, and ensuring project success for clients.


  • 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


  • 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


What are the main responsibilities of an Early Career Data Scientist at WSP?

The main responsibilities include providing technical assistance for collecting, interpreting, publishing, and warehousing data for various projects, conducting market research, extracting meaning from data, providing analysis for finances, productivity, sales, clients, forecasting, industry behavior, and trends, and generating accurate documentation for assigned project aspects.

What qualifications are required for an Early Career Data Scientist role at WSP?

Qualifications typically include a bachelor's or master's degree in data science, statistics, computer science, or a related field. Experience with data analysis tools and programming languages such as Python, R, SQL, and proficiency in data visualization techniques is also desired. Strong analytical, problem-solving, and communication skills are essential for this role.

What is the work environment like for an Early Career Data Scientist at WSP?

The work environment is collaborative and fast-paced, with opportunities to work on a wide range of projects in different industries. Teamwork and communication are emphasized, and there is a focus on continuous learning and professional development. Employees are encouraged to contribute ideas and innovative solutions to data-related challenges.

Founded Year

Mission & Purpose

At WSP in the U.S., our expertise lies at the intersection of the infrastructure and the skylines we have helped to shape from coast to coast. We can meet your needs with cross-disciplinary services across multiple sectors and markets including: advisory; buildings; water and environment; energy; and transportation & infrastructure. Our professionals have planned, designed and managed the construction of some of the most iconic high-rise buildings, bridges, highways, tunnels and transit and rail systems across the United States. Some of our most notable projects include major expansions of the New York and Los Angeles transit systems, as well as iconic buildings such as One World Trade Center and 432 Park Avenue in New York City, the Salesforce Tower in San Francisco, and the U.S. Coast Guard Headquarters in Washington, D.C.