Data Scientist

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 -74
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 Google Cloud Platform.
• 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.
Recruitment Transparency Notice
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Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
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About Eliassen Group:
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
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