Environmental Data Scientist – Water Analytics

Brown and Caldwell, Inc.; United States; On-site; USD 95,000 - 155,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

401(k) with company match

Paid time off

Job summary

Brown and Caldwell is seeking a Data Scientist to design, build, and deploy advanced analytics and ML models for water and environmental challenges. You will work cross-functionally to define AI opportunities, develop models, and deploy solutions across cloud platforms.

The role involves presenting findings, contributing to publications, and maintaining production-grade code with DevOps practices. Ideal candidates have 2+ years in data science, strong Python/R skills, and experience with

Qualifications

• Requires degree in CS/engineering or related field or equivalent experience.
• 2+ years in data science or related field; preferred 4+ years.
• Experience developing and deploying AI/ML solutions, APIs, and web tools.

Responsibilities

• Conduct complex data analyses and build ML models.
• Develop and deploy AI/ML solutions and generative AI applications.
• Collaborate with cross-functional teams and present findings to stakeholders.
• Follow DevOps and CI/CD practices for model deployment.
• Work with cloud-based data platforms and geospatial data processing.

Skills

Python

R

Data analysis

ML model development

Communication

Education

B.S./M.S. in CS/Engineering or related

Master's degree (preferred)

Tools

Azure ML

Azure Databricks

Azure Synapse

Git / CI-CD

OpenAI API

Job description

Brown and Caldwell is seeking a Data Scientist to design, build, and deploy advanced analytics and ML models for water and environmental challenges. You will work cross-functionally to define AI opportunities, develop models, and deploy solutions across cloud platforms.

The role involves presenting findings, contributing to publications, and maintaining production-grade code with DevOps practices. Ideal candidates have 2+ years in data science, strong Python/R skills, and experience with