Data Scientist

This is a non-merit, employment-at-will contract position.

At WSSC Water, we are passionate about our one water mission and devoted to delivering safe, seamless, and satisfying service to our 1.9 million customers. It takes teamwork to deliver the essential, which is why we proudly call ourselves Team H2O – working together, sharing our talents and creativity to safeguard public health and protect the environment.

The Data Scientist will leverage data to drive insights and impact the organization’s strategic decisions. The position is responsible for developing tools that support the analysis of structured, unstructured, and digital business data research studies and organizational metrics.

Responsibilities

• Applies statistical techniques and tools for data mining and modeling of business applications to gather key organizational data and metrics
• Performs statistical analysis or operations research analysis of targeted databases for productivity opportunity identification/discovery or specific decision-making
• Develops and maintains statistical models & methodologies to predict, quantify, and/or forecast various patterns and gaps
• Deploys, assesses the quality of and revises mathematical models to support the Commission’s decision-making process
• Effectively communicates results of statistical models to a broad audience, including senior leadership
• Uses quantitative and qualitative data sources to successfully generate results
• Conducts exploratory data analysis (EDA) to understand data patterns, trends, and potential outliers
• Identifies and gathers relevant data from various sources, including databases, APIs, and external datasets
• Cleans and preprocesses data to ensure its quality, consistency, and usability
• Develops and implements advanced machine learning and statistical models to solve complex business problems
• Selects appropriate algorithms and techniques for specific tasks such as regression, classification, clustering, and time series forecasting
• Fine-tunes models to optimize performance and generalization
• Creates informative data visualizations, dashboards, and reports to communicate findings and insights to stakeholders
• Translates complex technical results into easily understandable formats for non-technical audiences
• Implements rigorous validation processes, including cross-validation and hypothesis testing, to assess model performance and reliability
• Interprets model outputs and assesses their business impact
• Leads and manages data science projects from inception to deployment, ensuring alignment with organizational goals and timelines
• Collaborates with cross-functional teams to define project objectives, gather requirements, and prioritize initiatives
• Stays updated on the latest developments in data science, machine learning, and related technologies
• Identifies and recommends opportunities for process improvement and innovation
• Documents methodologies, codes, and model specifications for reproducibility and knowledge sharing

Qualifications

• Bachelor’s degree
• 5 years experience with statistical modeling/data mining (decision tree, logistic regression, cluster analysis, etc.) that includes accessing and analyzing large volumes of data using SQL, SAS, SPSS, etc., including experience in the following areas:
• Developing an enterprise analytical platform and framework
• Implementing data science tools such as Python, R, Spark, SQL
• Data manipulation using libraries such as Pandas and NumPy
• Experience with machine learning frameworks and libraries (e.g., TensorFlow and Scikit-Learn)
• Statistical analysis, time series analysis, and predictive modeling

OR

• High school diploma or equivalent
• 9 years experience with statistical modeling/data mining (decision tree, logistic regression, cluster analysis, etc.) that includes accessing and analyzing large volumes of data using SQL, SAS, SPSS, etc., including experience in the following areas:
• Developing an enterprise analytical platform and framework.
• Implementing data science tools such as Python, R, Spark, SQL.
• Data manipulation using libraries such as Pandas and NumPy.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow and Scikit-Learn).
• Statistical analysis, time series analysis, and predictive modeling

Preferences

• Master’s degree
• Experience training an LLM or deep neural network
• Experience working with water/wastewater utility operational systems

To learn more about WSSC Water, please visit www.wsscwater.com. To review the complete job description, please visit WSSC Water Careers https://wsscwater.peopleadmin.com/.