Short Description
Bowman has an opportunity for a Data Scientist/Machine Learning Engineer to join our team in Reston, VA.
At Bowman, we believe in creating opportunities for aspiring people to thrive and achieve ambitious goals. That's why a career at Bowman is more than a job. It is an opportunity to be part of a diverse and engaged community of professionals, to be treated as a respected and valued member of a motivated team and to be empowered to do exceptional work that advances the best interest of everyone involved. We recognize the importance of creating a work environment that is both rewarding to our employees and supportive of our unwavering commitment to provide unparalleled service to our clients.
Purpose
The Data Scientist / Machine Learning (ML) Engineer supports the organization's AI and automation goals by developing, training, and deploying machine learning models and data-driven solutions. This role enables the transformation of business challenges into actionable insights and intelligent applications by analyzing large datasets, building predictive models, and collaborating on AI/ML product initiatives. The Data Scientist / ML Engineer works closely with stakeholders to proto@type, test, and scale machine learning use cases that improve internal operations and support external customer offerings. This role plays a critical part in shaping the company's data science capabilities, ensuring analytical rigor, and deploying models that enhance business outcomes, automate manual processes, and contribute to digital innovation.
Responsibilities
Leadership and Direction
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.
At the Operational and Company Level
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.
Do the Work
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.
Success Metrics and Competencies
Analytical rigor and strong statistical and machine learning expertise.
Ability to communicate complex technical concepts to diverse audiences.
Business curiosity and ability to align technical work to enterprise priorities.
Attention to detail, experimentation mindset, and problem-solving skills.
Collaboration and adaptability in a cross-functional innovation team.
High degree of discretion and ability to manage highly confidential information.
Highly motivated and problem-solving attitude.
Strong sense of urgency in responding to constituents.
Effective verbal and written communication skills.
Strong work ethic and commitment to quality.
Self-reliance and ability to operate independently with limited direction.
Commitment to promoting the reputation of the company through quality of work.
Aspirations to grow professionally and advance within the company.
Effective working relationship with internal leaders and peers, as well as external clients.
Commitment to becoming a "citizen" of the broader organization, breaking down barriers and silos.
Commitment to working in partnership with others inside and outside the organization.
Ability to effectively manage multiple time-sensitive tasks.
Qualifications
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.
Familiarity with large language models, NLP, or AI-assisted tools is a plus.
About Bowman
Are you ready to build a career that makes a lasting impact? At Bowman, our people are at the center of everything we do. We're committed to creating an environment where employees can thrive both personally and professionally, while helping to shape the infrastructure of tomorrow.
A career at Bowman means being part of a collaborative, forward-thinking organization where innovation, inclusion, and growth are encouraged at every level. We offer competitive compensation, a supportive work environment, and benefits designed to help our employees succeed.
Our comprehensive benefits package includes:
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
Eligibility for certain benefits may vary based on position, location, and employment status.
Physical Demands and Working Environment
Primarily in-person or hybrid work setting based on business needs.
Minimal travel required (approximately 10%).
Professional office environment which may include bright/dim light, noise, fumes, odors, and traffic.
Frequent and prolonged use of standard office equipment such as computers, phones, photocopiers, etc.
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Job Description Disclaimer
Note: While this job description is intended to be an accurate reflection of the job requirements, it is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Management reserves the right to modify, add, or remove duties from particular jobs and to assign other duties as necessary at any time with or without notice.
Bowman is proud to be an Equal Opportunity Employer committed to fostering a diverse and inclusive workplace where all employees feel valued and respected. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here (https://bowman.com/wp-content/uploads/2023/11/EEO-Policy-1.pdf) . If you'd like more information on your EEO rights under the law, please click here (https://www.dol.gov/general/topic/discrimination) .
Bowman has an obligation to provide and maintain a safe, healthy, and productive environment for its employees and clients. We are committed to maintaining a drug and alcohol-free workplace.
If you have any questions about the application process, please email recruiting@bowman.com .
Bowman is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please go here: https://bowman.com/wp-content/uploads/2023/11/EEO-Policy-1.pdf. If you'd like more information on your EEO rights under the law, please go here: https://www.dol.gov/general/topic/discrimination.
