Data Scientist (Machine Learning & AI)

Position Information

Functional TitleData Scientist (Machine Learning & AI)

Recruitment Category TypeStandard

Functional CategoryInformation Technology

GradeIT.15

FLSA StatusExempt

Requisition Number25-0190

Number of Vacancies1

Job LevelNon-Management

Job CodeN / A

Job Description Summary

Organization NameIT Application Services

Reports toDivision Manager, Data & Analytics Solutions

Full or Part TimeFull Time

If Part Time how many hours per week

Regular or TemporaryRegular

Position End Date (if temporary)

Work Schedule

Monday – Friday 8AM – 5 PM

Position LocationLaurel

Position Summary Information

General Summary

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

TheData Scientist-Machine Learning & AIwill leverage data to drive insights and impact the organization’s strategic decisions. The role is responsible fordeveloping tools that support the analysis of structured, unstructured, and digital business data research studies and organizational metrics.

Essential Functions

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

Other Functions

Assists in Commission data-monitoring activities

Develops new and ad-hoc reports on data analysis activities across the Commission

Assists with the development of presentations

Work Environment And Physical Demands

Business casual office environment

Required Knowledge, Skills, And Abilities

Skill in programming applications using Python, R, SQL , and SAS to extract and transform data from multiple data sources

Performing data wrangling and matching leveraging Extract Load Transfer ( ETL ) techniques

Performing feature engineering and selection (transformation, binning, and high-level categorical reduction); model optimization (grid search and Bayesian optimization), and model testing and validation (cross-validation and bootstrapping)

Developing and deploying supervised and unsupervised machine-learning models leveraging Random Forest, XGBoost, and GBM tree models, deep learning, and k-means and performing regularization leveraging Ridge, Lasso, and elastic net

Sound technical background with experience in the following technologies, or equivalent : databases ( SQL Server), cloud (Azure), business intelligence / reporting (PowerBI)

Expertise in machine learning and AI techniques

Experience implementing predictive algorithms and associated statistical analysis / inference in data science / ML workflow manipulating both structured and unstructured data

Experience in using AI tools in Microsoft Azure or AWS environment

Advanced knowledge of relational database structure

Excellent organizational and communication skills

Ability to identify emerging patterns that can be found through the analysis of big data, unstructured data, and data from multiple internal and external sources

Ability to manage projects with strong technical and data-driven components

Ability to communicate complex concepts to a non-technical audience

Minimum Education, Experience Requirements

Bachelor’s degree in Data Science, Computer Science, Operations Research, Statistics or related quantitative technical discipline

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

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

Additional Requirements

Must be available, if required, on a 24-hour on-call basis and work at odd and irregular hours

Preferences

Master’s degree

Experience training an LLM or deep neural network

Experience working with water / wastewater utility operational systems

Salary$105,080- $178,920

Posting Detail Information

EEO Statement

AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER

It is the policy of the Commission to select new employees and to promote current employees without regard to race, sexual orientation, sex, religion, national origin, marital status, or handicap. The Commission does not discriminate against qualified individuals with a disability and will make reasonable accommodation for any disability that does not result in undue hardship for the Commission.

Close Date03 / 20 / 2025

Open Until FilledNo

Special Instructions to Applicants

Additional Information

All applicants selected will be subject to drug screening and a background check / verification.

Supplemental Questions

Required fields are indicated with an asterisk (

Will you, now or in the future, require sponsorship for employment visa status?

Are you an eligible veteran of any branch of the armed forces who has received an honorable discharge or Certificate of Satisfactory Completion of Military Service, the spouse of an eligible veteran who has a service-connected disability or the surviving spouse of a deceased eligible veteran?

Applicant Documents

Required Documents

• Resume

Optional Documents

Salary : $105,080 - $178,920