TSSCI Data Scientist

Insight Global; Dayton (OH); On-site; USD 140,000 - 210,000; Full time

Job summary

Insight Global seeks a TSSCI Data Scientist in Dayton, OH to drive data initiatives aligned with DoD strategic goals. You will leverage expertise in data governance, quality, security, and architecture to design secure, scalable data systems.

You will collaborate with cloud infrastructure and web teams to normalize and standardize data and deliver actionable insights through Tableau/Power BI.

Qualifications

• Active TS/SCI Security Clearance required.
• Measures 6+ years of experience in Data Science.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud).
• Experience with data visualization tools (Tableau, Power BI).
• Proficiency with databases (SQL, NoSQL) and data warehousing solutions.

Responsibilities

• Align data initiatives with the DoD's strategic goals and mission objectives.
• Design scalable, secure, and efficient data systems.
• Support a cloud infrastructure team and a web-based team to normalize and standardize data.

Skills

Data lifecycle management

Data governance

Data quality

Data security

Data architecture

Cloud platforms experience

Data visualization

SQL

NoSQL

Data warehousing

Tools

Tableau

Power BI

SQL

NoSQL

Data warehousing

Job description

An Employer in Dayton, OH is seeking a TSSCI Data Scientist. This individual will a great understanding of IC data requirements and challenges as well as have the ability to align data initiatives with the DoD's strategic goals and mission objectives. They are looking for someone with knowledge of data lifecycle management, including data governance, data quality, and data security as well as understanding of data architecture frameworks and the ability to design scalable, secure, and efficient data systems. This role will be supporting a cloud infrastructure team as well as a web based team to normalize and standardize data.

Must have requirements:

• Active TS/SCI Security Clearance
• 6+ years of experience in Data Science
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-based data storage and processing.
• Experience with data visualization tools (e.g., Tableau, Power BI) to present data insights effectively.
• Proficiency with databases (SQL, NoSQL) and data warehousing solutions.