Sr. Data Scientist

Position: Sr. Data Scientist

Location: Rockville, MD/ Tysons, VA #HYBRID (3days a week)

Duration: 12 months #Contract 

Interview: 1st Video & 2nd IN-Person

Job Description:

We are seeking an experienced Senior Data Scientist to join our team and drive impactful data-driven insights that inform strategic business decisions. This role requires a blend of technical expertise, analytical rigor, and excellent communication skills to collaborate effectively across technical and non-technical stakeholders.

Key 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

Required Qualifications:

Python Proficiency: Expert-level skills in Python for data analysis, modeling, and automation (required)

Data Manipulation & Processing: Strong proficiency in pandas for data analysis and PySpark for large-scale distributed data processing

SQL: Advanced SQL skills for data extraction, transformation, and analysis across various database systems

Statistics: Strong foundation in statistical methods, experimental design, and hypothesis testing (required)

Machine Learning: Hands-on experience building, training, and deploying ML models in production environments

Advanced Visualization: Proficiency with Plotly and Plotly Dash for creating interactive, production-grade visualizations

Cloud Technologies: Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) for data processing and model deployment

Communication Skills: Exceptional ability to communicate technical findings to both technical and non-technical audiences

Stakeholder Management: Proven track record of managing stakeholder relationships and driving alignment

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

Preferred Qualifications:

Generative AI: Experience with large language models (LLMs), prompt engineering, and GenAI applications

Experience with graph databases and graph analytics

Knowledge of network analysis and graph-based algorithms

Experience in financial services or regulated industries

Familiarity with MLOps and model monitoring best practices