Sr. Data Scientist

Title: Senior Data Scientist
Location : Rockville, Maryland
Target Start Date : ASAP
Type: contract
Pay Rate: DOE

We are seeking an experienced Senior Data Scientist to drive data-driven insights that inform strategic business decisions. This role blends advanced analytics, machine learning, and strong communication skills to deliver end-to-end analytical solutions in close partnership with both technical and non-technical stakeholders.

The ideal candidate is hands-on, highly analytical, and comfortable leading complex initiatives from problem definition through production deployment.

• Design, develop, and deploy machine learning models to solve complex business problems.

• Apply statistical methods and experimental design to validate findings and ensure data quality and integrity.

• Explore and implement generative AI solutions to enhance analytical capabilities and business processes.

• Drive end-to-end data science projects from ideation through implementation and optimization.

• Create advanced, interactive dashboards and visualizations to communicate insights to diverse audiences.

• Translate complex analytical outputs into clear, actionable recommendations for stakeholders.

• Identify innovative ways to measure impact and track model and solution performance.

• Partner with cross-functional teams to understand business needs and translate them into scalable analytical solutions.

• Lead stakeholder engagement, clearly explaining technical concepts to non-technical audiences.

• Influence decision-making through data-driven storytelling and insights.

• Deploy, monitor, and maintain models in cloud-based environments.

• Collaborate with engineering teams to ensure scalable, reliable, and secure production solutions.

• Apply best practices for model lifecycle management and ongoing performance monitoring.

• Mentor junior data scientists and contribute to the growth and maturity of the data science practice.

• Promote best practices in analytics, modeling, and documentation across the team.

• Python: Expert-level proficiency for data analysis, modeling, and automation.

• Data Processing: Strong experience with pandas and PySpark for large-scale data processing.

• SQL: Advanced SQL skills for data extraction, transformation, and analysis.

• Statistics: Strong foundation in statistical methods, hypothesis testing, and experimental design.

• Machine Learning: Hands-on experience building, training, and deploying models in production.

• Data Visualization: Proficiency with Plotly and Plotly Dash for production-grade, interactive visualizations.

• Cloud Platforms: Experience with AWS, Azure, or GCP for data processing and model deployment.

• Communication: Exceptional ability to communicate technical concepts to technical and non-technical audiences.

• Stakeholder Management: Proven ability to manage relationships and drive alignment across teams.

• Education: Bachelor's degree in a quantitative field (Data Science, Statistics, Computer Science, Mathematics, Engineering, or related); advanced degree preferred.

• Experience with generative AI, including large language models (LLMs) and prompt engineering.

• Experience with graph databases, graph analytics, and network-based algorithms.

• Background in financial services or other regulated industries.

• Familiarity with MLOps, model monitoring, and production governance best practices.

Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at www.consultnet.com .

We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.