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Position Overview:

We are seeking a highly skilled and experienced Data Scientist/Database Administrator to join our team. The ideal candidate will possess a strong background in both data science and database administration, with a focus on working with both Government and Commercial datasets. This role will involve analyzing and interpreting complex datasets, developing data-driven solutions, and ensuring the effective management and security of databases. The successful candidate will have a deep understanding of data science methodologies, statistical analysis, data modeling, and database administration principles.

Responsibilities:

1. Data Analysis and Modeling:

• Conduct thorough analysis of Government and Commercial datasets to extract meaningful insights and patterns.
• Apply statistical and machine learning techniques to develop predictive models and data-driven solutions.
• Collaborate with stakeholders to identify and define business problems that can be addressed through data analysis.
• Develop and implement data cleaning, preprocessing, and transformation techniques to ensure data accuracy and reliability.
• Identify and recommend appropriate data models and methodologies to optimize data analysis processes.

2. Database Administration:

• Design, implement, and manage secure and scalable databases to store and organize large volumes of data.
• Ensure the integrity, reliability, and performance of databases through monitoring, optimization, and maintenance activities.
• Develop and enforce data security protocols, including access controls, encryption, and backup and recovery procedures.
• Collaborate with IT teams to resolve database-related issues and provide technical support when required.
• Stay updated with the latest trends and advancements in database technologies, recommending and implementing improvements as needed.

3. Data Visualization and Reporting:

• Create compelling visualizations and dashboards to effectively communicate data insights and trends to stakeholders.
• Generate regular reports and presentations summarizing key findings, trends, and recommendations.
• Work closely with business users to understand their reporting needs and develop customized solutions to meet their requirements.

4. Collaboration and Communication:

• Collaborate with cross-functional teams, including data engineers, software developers, and business analysts, to drive data initiatives.
• Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner.
• Participate in knowledge sharing activities, providing guidance and mentorship to junior team members.

Qualifications:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Advanced degree preferred.
• Proven experience in data analysis, data modeling, and statistical analysis.
• Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
• Familiarity with NoSQL databases (e.g., MongoDB, Cassandra) and Big Data technologies (e.g., Hadoop, Spark) is a plus.
• Proficiency in programming languages such as Python or R for data analysis and statistical modeling.
• Experience working with both Government and Commercial datasets is highly desirable.
• Knowledge of data privacy regulations, security best practices, and compliance standards.
• Excellent problem-solving and critical-thinking skills.
• Strong communication and collaboration skills.
• Ability to work in a fast-paced environment and handle multiple priorities effectively.