Data Scientist/Machine Learning Engineer - Reston, VA jobs in United States
cer-icon
Apply on Employer Site
company-logo

Bowman Consulting · 1 day ago

Data Scientist/Machine Learning Engineer - Reston, VA

Bowman Consulting is seeking a Data Scientist/Machine Learning Engineer to join their team in Reston, VA. This role focuses on developing, training, and deploying machine learning models and data-driven solutions to support the organization’s AI and automation goals.

Civil EngineeringCommercial Real EstateConstructionInformation TechnologyLegalReal Estate
check
Growth Opportunities
check
H1B Sponsor Likelynote

Responsibilities

Partner with product, engineering, and analytics teams to translate business needs into machine learning solutions
Contribute to the organization's AI/ML strategy and model development roadmap
Collaborate with internal teams to identify data sources, develop data pipelines, and validate models
Analyze business workflows to uncover opportunities for predictive modeling, AI-powered optimization, and automation
Support and mentor analysts and developers in applying machine learning techniques to real-world challenges
Participate in cross-functional innovation and product development initiatives
Share findings and insights with business stakeholders to support data-driven decision making
Design, build, and deploy machine learning models and data pipelines across structured and unstructured datasets
Perform data wrangling, feature engineering, and exploratory data analysis to uncover patterns and model features
Conduct hypothesis testing, A/B testing, and apply statistical and predictive modeling techniques
Train and optimize supervised, unsupervised, and deep learning models for performance, scalability, and generalization
Work with ML frameworks and cloud services (e.g., Azure ML, TensorFlow, PyTorch, scikit-learn)
Develop MLOps practices for monitoring, logging, and retraining deployed models
Support the integration of models into enterprise platforms, APIs, and front-end applications
Create and maintain reusable code libraries, templates, and automation scripts to streamline the ML development lifecycle
Collaborate with DevOps and Infrastructure teams to build scalable model deployment pipelines
Design and implement performance monitoring and alerting systems for production ML models
Continuously evaluate model effectiveness and retrain as needed using feedback loops and real-world data
Ensure all work aligns with security, privacy, and compliance standards related to data handling and model governance
Document methodology, code, experiments, and model performance metrics to ensure transparency, reproducibility, and collaboration

Qualification

Machine LearningData SciencePythonMLOpsSQLData VisualizationCloud EnvironmentsStatistical AnalysisCollaborationProblem SolvingCommunication Skills

Required

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field; advanced degree preferred
Minimum of five (5) years of experience in data science or machine learning engineering
Strong programming skills in Python and familiarity with SQL, R, or other data languages
Experience with data visualization tools (e.g., Power BI, Tableau, matplotlib)
Proficiency in ML tools and platforms such as scikit-learn, TensorFlow, PyTorch, or Azure ML
Experience working with cloud environments, version control systems, and MLOps tools

Preferred

Familiarity with large language models, NLP, or AI-assisted tools is a plus

Benefits

Medical, dental, vision, life, and disability insurance
401(k) retirement savings plan with company match
Paid time off, sick leave, and paid holidays
Tuition reimbursement and professional development support
Discretionary bonuses and other performance-based incentives
Employee Assistance Program (EAP), wellness initiatives, and employee discounts

Company

Bowman Consulting

twittertwittertwitter
company-logo
Bowman Consulting is a civil engineering company that provides engineering consulting services nationwide.

H1B Sponsorship

Bowman Consulting has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (2)

Funding

Current Stage
Public Company
Total Funding
$220M
2025-10-30Post Ipo Debt· $70M
2024-05-03Post Ipo Debt· $100M
2024-03-26Post Ipo Secondary· $5M

Leadership Team

leader-logo
Daniel Swayze
Chief Operating Officer
linkedin
leader-logo
Vijay Agrawal
Executive Vice President, National Ports & Harbors Practice
linkedin
Company data provided by crunchbase