Data Scientist

Skill Requirements

• Advanced proficiency in Python for data analysis, machine learning, and model development
• Strong knowledge of statistical analysis, predictive modeling, and machine learning techniques
• Experience with data visualization tools (e.g., Tableau, Power BI, or similar) to communicate findings effectively
• Proficiency in SQL and working with relational and non-relational databases
• Experience with data preprocessing, feature engineering, and model validation techniques
• Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP) and analytics environments
• Understanding of data pipelines, ETL processes, and data engineering concepts
• Knowledge of data governance, data quality, and best practices for data management
• Strong problem-solving and critical thinking skills
• Effective communication skills, including the ability to present complex insights to non-technical stakeholders
• Experience documenting methodologies, models, and analytical findings for reproducibility and auditability

Responsibilities

• Analyze large, complex datasets to identify patterns, trends, and anomalies that drive business insights
• Develop, validate, and deploy predictive models and machine learning solutions
• Design and deliver reports, dashboards, and data visualizations to communicate findings clearly
• Collaborate with stakeholders to understand business needs and translate them into analytical approaches
• Support the development and maintenance of data pipelines and workflows in cloud-based environments
• Ensure data quality, integrity, and adherence to governance standards

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
• 7+ years of experience in data science, machine learning, or related fields
• Active Secret clearance