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Intermediate Data Science Specialist - CDM Smith
Data Scientist
Intermediate Data Science Specialist responsible for building predictive models, analyzing large datasets, and delivering actionable insights using Python, SQL, and cloud‑based tools.
About the role
Key Responsibilities
- Develop, test, and deploy machine‑learning models to support engineering and environmental projects.
- Extract, clean, and transform data from relational databases and cloud storage for analysis.
- Create interactive visualizations and dashboards to communicate findings to technical and non‑technical stakeholders.
- Collaborate with cross‑functional teams to define data requirements and translate business problems into analytical solutions.
- Maintain documentation, version control, and reproducible workflows using best practices in data science.
Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
- 2–4 years of professional experience with Python (pandas, scikit‑learn) and SQL.
- Proven ability to build and evaluate predictive models and perform statistical analysis.
- Experience with data‑visualization tools such as Tableau, Power BI, or matplotlib.
- Familiarity with cloud platforms (e.g., AWS) for data storage and model deployment.
Skills
pythonsqlmachine learningaws