Early Career Data Scientist

WSP in the U.S.; United States; Remote; USD 63,000 - 94,000; Full time

Job summary

A leading company in environmental consulting seeks an Early Career Data Scientist to support the Southwest Mountain District. This role involves data preparation, visualization, and collaboration on projects in the water and environmental sectors. Remote options are available, and the position emphasizes ethical conduct and commitment to safety.

Qualifications

• 0-1 year of relevant post-education experience.
• Familiarity with relational database structures and management.

Responsibilities

• Prepare data visualizations to interpret complex data.
• Design web-based solutions using Esri and Microsoft products.
• Collaborate with teams on data analysis and visualizations.

Skills

Technical Computation

Communication

Motivation to Learn

Education

Bachelor’s Degree or Certificate in Data Science

Tools

SQL

Python

Microsoft Office Suite

Esri ArcGIS

Power BI

Power Apps

Job description

WSP is a global leader in environmental consulting, boasting world-class expertise in environmental, social, and governance (ESG), climate resiliency & sustainability (CRS), and earth sciences. With over 20,000 multidisciplinary professionals worldwide, they collaborate to protect natural landscapes, build strong community foundations, and champion sustainable development to combat climate change. The company offers an extensive network of resources and opportunities for collaboration on diverse global projects.

Job Description: Early Career Data Scientist

WSP is seeking an Early Career Data Scientist to support its Southwest Mountain District, based in Lakewood, CO (remote options available). This role provides technical assistance in the water and environmental industries.

Responsibilities:

1. Data Preparation and Visualization: Prepare data visualizations (tables, charts, reports, models, maps) to interpret and present complex data and analyses. Perform quality assurance on data acquired through public outreach. Collaborate with GIS staff to develop data visualization technologies (dashboards, web applications).
2. Web-Based Solutions: Design and support web-based solutions using Esri (ArcGIS Online) and Microsoft products (Power Apps, Power BI).
3. Data Analysis and Collaboration: Collaborate with cross-functional teams on data analysis and visualizations for reports. Interact with regulatory agencies, subcontractors, and clients professionally.
4. Ethical Conduct: Exercise responsible and ethical decision-making regarding company funds and resources, adhering to WSP’s Code of Conduct.
5. Additional Duties: Perform other responsibilities as needed.

Required Qualifications:

• Bachelor’s Degree or Certificate in Data Science.
• 0-1 year of relevant post-education experience.
• Strong technical computation and calculation skills.
• Familiarity with relational database structures and management.
• Understanding of SQL and Python for data querying and workflow automation.
• Motivation to learn and utilize new data visualization technologies.
• Excellent interpersonal and communication skills (technical and non-technical audiences).
• Proficiency in Microsoft Office Suite.
• Flexibility to work schedules beyond the typical workweek as needed.
• Occasional travel may be required.
• Proven commitment to workplace safety and adherence to WSP’s health, safety, and conduct policies.

Preferred Qualifications:

• Knowledge of Esri ArcGIS environments.
• Experience with Power BI for data visualizations.
• Experience with Power Apps or other workflow automation software.

Compensation:

(Colorado Only) $63,600 – $93,300 (Note: This is a provided range and may vary).

Making job hunting smarter, faster, and way more fun. Our AI-powered, mobile-first platform connects students and early-career pros with real opportunities that match their skills and goals. With gamified skill validation, personalized career paths, and smart matching, we’re not just helping you land a job—we’re setting you up for a career you’ll actually love.