Description
Hybrid 3 days onsite in Rockville, MD
Our client is seeking an experienced Senior Data Scientist to drive data-driven insights that inform strategic business decisions. The role requires technical expertise, analytical rigor, and clear communication to collaborate across technical and non-technical stakeholders.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $60.00 to $70.00/hr. w2
JN -082026-108274
Responsibilities
Design, develop, and deploy machine learning models to solve complex business problems.
Explore and implement generative AI solutions to enhance analytical capabilities and business processes.
Create advanced, interactive visualizations and dashboards to communicate insights to diverse audiences.
Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions.
Conduct rigorous statistical analyses to validate findings and ensure data integrity.
Lead stakeholder engagement, presenting complex technical concepts in accessible ways.
Mentor junior team members and contribute to the growth of the data science practice.
Deploy and maintain models in cloud-based environments.
Drive end-to-end project delivery from problem definition through implementation.
Experience Requirements
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Expert-level Python for data analysis, modeling, and automation.
Strong proficiency with pandas and PySpark for large-scale data processing.
Advanced SQL for data extraction, transformation, and analysis.
Strong foundation in statistics, experimental design, and hypothesis testing.
Hands-on experience building, training, and deploying ML models in production.
Proficiency with Plotly and Plotly Dash for interactive, production-grade visualizations.
Experience with cloud platforms such as AWS, Azure, or GCP.
Exceptional communication skills for technical and non-technical audiences.
Proven stakeholder management and alignment.
Preferred: Experience with LLMs, prompt engineering, and GenAI applications.
Preferred: Experience with graph databases, graph analytics, and network analysis.
Preferred: Experience in financial services or regulated industries.
Preferred: Familiarity with MLOps and model monitoring best practices.
Education Requirements
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related quantitative field. Master's or PhD preferred.
