Data Scientist/Machine Learning Engineer - Reston, VA

About the position Bowman has an opportunity for a Data Scientist/Machine Learning Engineer to join reputed company in Reston, VA. At Bowman, we reputed company in creating opportunities for aspiring people to reputed company and reputed company 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. 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 prototype, 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 reputed company processes, and contribute to digital innovation.

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, reputed company 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 reputed company-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 reputed company machine learning models and data pipelines across structured and reputed company datasets.
• reputed company 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 reputed company services (e.g., Azure ML, TensorFlow, PyTorch, scikit-learn).
• reputed company MLOps practices for monitoring, logging, and retraining deployed models.
• Support the integration of models into reputed company platforms, APIs, and reputed company-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 reputed company-world data.
• Ensure reputed company work aligns with reputed company, privacy, and compliance standards reputed company to data handling and model governance.
• Document methodology, code, experiments, and model performance metrics to ensure transparency, reproducibility, and collaboration.

Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or reputed company 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 reputed company environments, version control systems, and MLOps tools.

reputed company-to-haves

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

Benefits

• Medical, dental, reputed company, 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

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