Data Scientist II

NOTE: Concurrent to this recruitment, we are also recruiting for Data Scientist I. Applicants who may be interested in both positions must submit separate applications for both recruitments.

At East Bay Municipal Utility District (EBMUD), data science and analytics play an increasingly vital role in protecting public health, ensuring environmental sustainability, and delivering safe, reliable, affordable water and wastewater services to 1.4 million customers in the East Bay. From predicting pipeline failures to analyzing water quality and supporting climate resilience strategies, the work of the Data Scientist position will directly support critical infrastructure, the communities we serve, and the environment we protect.

The position supports Departments and teams across the organization by applying data science techniques to solve complex problems, improve operations, and inform decision-making. This role involves working with diverse datasets and tools to analyze trends, develop models, and deliver actionable insights that guide District policies, services, and programs.

Data Scientist II is the journey-level Data Scientist role for experienced professionals who work independently on complex projects. Incumbents take on broader responsibilities, lead analytical efforts, and help shape data-driven practices across EBMUD.

The duties of the Data Scientist positions include the following:

*Collects, cleans, and preprocesses structured and unstructured data from a variety of internal and external sources.

*Designs, develops, and applies statistical models, machine learning algorithms, and artificial intelligence techniques to derive insights and support decision-making.

*Builds and evaluates predictive and classification models using techniques such as regression, clustering, natural language processing (e.g., entity extraction from inspection logs), and time series forecasting (e.g., predicting pipeline failures or demand trends).

*Translates complex analytical results into clear, actionable recommendations for Department and operational stakeholders.

*Collaborates with cross-functional teams to define data problems, develop project scopes, and deliver end-to-end analytical solutions.

*Creates dashboards, interactive visualizations, and reports using matplotlib, seaborn, Plotly, and BI platforms (e.g., Tableau, Power BI) to support decision-making by analysts, engineers, managers, and executive leadership.

*Maintains data integrity, governance, and security while working with sensitive or confidential datasets.

*Develops documentation and may train others in the use of analytical tools, models, and related methods.

*Utilizes automated or computer-based work management systems in the course of work.

*Performs other related duties and responsibilities as required.

The ideal candidate is a data science professional who is passionate about applying advanced analytics, machine learning, and AI to solve real-world problems in the public sector. This candidate combines technical expertise with strong communication skills and a collaborative mindset. They will be comfortable working with diverse datasets, deriving insights from complex information, and translating technical results into actionable recommendations for non-technical stakeholders.

The ideal candidate will have hands-on experience with or demonstrated expertise in:

*Statistical analysis, data mining techniques, and machine learning algorithms

*Artificial intelligence methods and their use in solving operational and business challenges

*Data visualization tools and techniques to communicate findings effectively

*The Python data science ecosystem, including libraries such as NumPy, pandas, scikit-learn, matplotlib, and seaborn

*Other programming and data analysis tools such as R and SQL

*Designing and managing data systems, including database architecture, data governance, and security best practices

They will also demonstrate the ability to:

*Collect, clean, and preprocess data from a wide range of sources

*Detect, diagnose, and correct issues with data quality or integrity

*Design, implement, and scale advanced statistical, machine learning, or AI models to solve operational and strategic challenges

*Apply both supervised and unsupervised learning to support predictive and prescriptive analytics

*Interpret complex datasets and translate insights into practical, actionable recommendations

*Communicate technical concepts clearly to non-technical audiences through visualizations, presentations, and written reports

*Stay current with advances in data science, machine learning, and artificial intelligence

*Lead complex data science projects independently and mentor junior team members

*Work collaboratively with cross-functional teams and maintain effective relationships across the organization

*Manage multiple priorities, meet deadlines, and coordinate efforts across departments

The salary range is $13,150 per month, increasing to $13,807, $14,497, and $15,222 after 6, 18 and 30 months respectively.

EBMUD is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, creed, sex, gender, gender identity (including transgender status), gender expression, marital or registered domestic partnership status, age for individuals age forty or older, national origin, ancestry, disability (mental or physical), medical condition (cancer and genetic characteristics), genetic information, sexual orientation, military and veterans status, family or medical leave status, pregnancy (including childbirth, lactation or related medical condition), pregnancy disability leave status, domestic violence victim status, political affiliation, and other categories protected by federal, state and/or local laws.

1.A bachelor's degree or its equivalent* with major coursework in data science, statistics, computer science, engineering, or a related field.

2.Two years of experience** in data analysis, statistical modeling, or a related field.

* Four years or more of full-time equivalent experience in data analysis, statistical modeling, or a related field may substitute for the education requirement.

**A graduate level degree in a directly related field may substitute for one year of experience.

Equivalent combinations of education and experience may be considered. To be considered under the "equivalent combination of education and experience" provision, it is your responsibility to include in your application materials written evidence of employment performed at the level of the typical duties of this position and/or coursework in subject areas directly related to this position. For more information, see our FAQ page at http://www.ebmud.com/jobs/job-resources/job-faqs-frequently-asked-questions/.

1.Submit a completed EBMUD application and the required supplemental question responses online at www.ebmud.com by 4:30 p.m., Friday, August 8, 2025. Only application materials submitted online during the filing period will be accepted.

2.Candidates must achieve a passing score on each test part in order to advance to the next step in the selection process.

3.Qualified applications within the limit and supplemental responses will be competitively evaluated, with those candidates receiving a passing score to be invited to a panel interview tentatively scheduled for September.

4.Successful candidates will be placed on the hiring list, based on rank, for further consideration to fill the current regular vacancy, as well as others occurring over the next 12 to 24 months.

5.The probation period for this position is 12 months. For those holding civil service status the probation period is 6 months.

6.All employment offers are conditional, pending the results of a Live Scan background screening. All selected finalists must participate in the Live Scan background screening process to remain in consideration for EBMUD employment.

As the first step in the selection process, responses to the supplemental questions must be submitted online with the regular EBMUD application. Please provide concise and clear responses to each question below. Your responses should accurately represent the roles, responsibilities and education described in your application. Please limit your response to 350 words or less for each question. Should you respond with comments such as "see application" or "see resume" instead of addressing the questions directly, your application may not be considered.