Data Scientist (Clearance Sponsorship)

Responsibilities

• Work with cross-functional teams to identify, research, and solve complex analytical problems
• Analyze large data sets to extract meaningful insights
• Design, build, and maintain machine learning models and algorithms
• Collaborate with data engineers to improve data collection and storage
• Present findings and recommendations to stakeholders in a clear and actionable manner
• Support the organization's broad-spectrum Data Management requirements, including, but not limited to: Data Strategy/ Modeling/ Documentation; Data Feed Identification; Infrastructure Management; Data Ingestion/Data Feed Automation; Data Transformation; Data Catalog and Metadata Management; Data Quality Management; Data Governance
• Design, develop, and maintain interactive Tableau dashboards and reports to support business objectives.
• Integrate Tableau with various data sources, including SQL databases, cloud platforms, and spreadsheets
• Stay updated on the latest Tableau features, best practices, and emerging BI trends.
• Required Qualifications:
• Must meet requirements to obtain TS/SCI Clearance with a Poly
• -1-3 years experience as a Data Scientist, Data Analyst, or similar role
• Bachelor's degree in Data Science, Computer Science, Mathematics, Engineering, or a related field. (e.g., Statistics, Mathematics, Computer Science, etc.).
• Proficiency in data visualization tools such as Tableau, PowerBI, etc., including, but not limited to: data connection, data manipulation, data visualization
• Knowledge of statistical analysis methodologies and data visualization tools.
• Excellent problem-solving skills and attention to detail.
• Excellent communication and collaboration skills
• Experience with scripting in Tableau (e.g., automation, troubleshooting, integration, performance optimization)
• Proficiency in Python, R, SQL, and other relevant programming languages.
• Experience with data warehousing concepts and relational databases.
• Experience with machine learning, predictive modeling, and data mining.
• Ability to work independently and manage multiple projects simultaneously
• Excellent analytical and problem-solving skills and attention to detail
• Desired Qualifications::
• Tableau Certified Professional - Preferred
• Current Security+ or DOD 8570 IAT Level II Certification
• Knowledge of cloud data platforms (e.g., AWS, Azure, Google Cloud).
• Understanding of data governance and security best practices.
• -
• What You Can Expect:
• A culture of integrity.
• At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
• An environment of trust.
• CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
• A focus on continuous growth.
• Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
• Pay Range :
• The proposed salary range for this position is:
• $61,100 - $122,200
• CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Benefits

Additional Information

Job Title: Data Scientist (Clearance Sponsorship) Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: None Type of Travel: None * * * We are seeking a skilled and motivated Data Scientist to join our dynamic Data & Analytics team. The ideal candidate will have a strong background in statistics, machine learning, and data mining, with the ability to visualize and communicate complex data clearly and compellingly.

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