Data Scientist

Eliassen Group; Rockville (MD); Hybrid; USD 83,000 - 96,000; Full time

Benefits offered by this job

Medical, Dental, and Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group in Rockville, MD is seeking an experienced Senior Data Scientist to drive data‑driven insights for strategic decisions. The role requires strong technical and communication skills to collaborate across teams in a hybrid environment.

The position emphasizes building ML models, generative AI solutions, and interactive dashboards with production deployment on cloud platforms. W2/corp options with benefits are offered.

Qualifications

• Advanced Python for data analysis, modeling and automation.
• Extensive experience with Pandas and PySpark for large‑scale data processing.
• Strong SQL for data extraction, transformation and analysis.
• Solid foundation in statistics, experimental design and hypothesis testing.
• Hands-on experience building, training, and deploying ML models in production.
• Proficiency with Plotly Dash for interactive production dashboards.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Exceptional communication skills for technical and non‑technical audiences.
• Proven stakeholder management and alignment.
• Prefers experience with GenAI/LLMs and graph analytics.
• Experience in financial services or regulated industries a plus.
• Familiarity with MLOps and model monitoring.

Responsibilities

• Design, develop, and deploy ML models to solve business problems.
• Explore generative AI to enhance analytics and processes.
• Create interactive visualizations and dashboards for diverse audiences.
• Collaborate with cross‑functional teams to translate needs into analyses.
• Conduct rigorous statistical analyses to validate findings.
• Lead stakeholder engagement and present complex concepts clearly.
• Mentor junior team members and contribute to the DS practice growth.
• Deploy and maintain models in cloud environments.
• Drive end‑to‑end project delivery from problem definition to implementation.

Skills

Python

Pandas

PySpark

SQL

Statistics

ML in production

Plotly Dash

Cloud platforms

Communication

Stakeholder management

GenAI/LLMs

Graph analytics

MLOps

Financial services experience

Education

Bachelor's degree in Data Science/CS/Math/Engineering

Master's degree or PhD preferred

Tools

Plotly Dash

AWS/Azure/GCP

Job 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:

• 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.