Remote Entry Level Data Scientist Job in United States Brown and Caldwell

Who you are

• Bachelor’s, Master’s, or Ph.D. in Civil/Environmental Engineering, Environmental Science, or related field with focus on water resources, water treatment, and/or wastewater treatment
• Bachelor’s, Master's, or Ph.D. in Computer Science, Data Science, Engineering, or related field with focus on machine learning, artificial intelligence, or data science coursework and/or research
• 2+ years experience in developing and deploying machine learning models and data-driven solutions
• Advanced knowledge of statistics, data preprocessing, exploratory data analysis, feature engineering, and model selection
• Strong programming skills in Python and R and proficiency in relevant libraries and frameworks like TensorFlow, MLFlow, PyTorch, scikit-learn, DARTS, RLLib
• Knowledge of software engineering principles, version control, and writing clean, maintainable, and scalable code with CI/CD experience
• Experience with large datasets, databases, and data integration from various sources
• Experience optimizing and tuning ML algorithms with standard search methods and advanced automatic ML tuning methods
• Experience detecting and mitigating bias and unfairness in ML algorithms
• Experience with Gen AI infrastructure, LLM, and applying generative models to solve problems
• Familiarity with geospatial data processing and analysis tools
• Knowledge of water/wastewater treatment processes, asset management principles, and environmental engineering concepts
• Strong problem-solving abilities and translating business requirements into technical solutions
• Excellent communication skills to collaborate with cross-functional teams and present findings to different stakeholders
• Strong sense of innovation and staying updated with advancements in machine learning and environmental engineering

Desirables

• Familiarity with geospatial data processing and analysis tools
• Knowledge of water/wastewater treatment processes, asset management principles, and environmental engineering concepts

What the job involves

• Join a team of data scientists and data engineers working on modern data-driven solutions for the water and wastewater industry
• Develop and deploy machine learning models for extracting insights from various data sources
• Collaborate with cross-functional teams to enhance data quality and integrity and develop algorithms for predictive maintenance and process optimization