Data Scientist

CACI International, Inc.; Deutschland; Vor Ort; EUR 76.000 - 162.000; Vollzeit

Zusammenfassung

A leading defense contractor is seeking a Data Scientist/Database Manager in Germany. The candidate will design and manage data environments to support ISR workflows, produce analytic workflows, and maintain database systems. Required qualifications include a relevant master's degree and extensive experience in database management. This role offers opportunities for relocation and various benefits.

Leistungen

Moving expenses for relocation

Dependent Education

Living Quarters Allowance

Qualifikationen

• Current Top Secret/Specialized Compartmented Information Security Clearance.
• Master's Degree and 3+ years experience or Bachelor's degree and 6+ years experience in data science.
• Proven experience in database administration, design, and management.

Aufgaben

• Develop, implement, and maintain advanced analytical capabilities.
• Produce system enhancements and analytic workflows.
• Collaborate with intelligence analysts and operations personnel.

Kenntnisse

Database administration

Data science techniques

Structured Query Language (SQL)

Programming in Python

Data visualization tools

Ausbildung

Master's Degree in related field

Bachelor's Degree in related field

Tools

Microsoft SQL Server

AWS RDS

Tableau

Jobbeschreibung

Overview

The Opportunity: As a CACI SOF Data Scientist/Database Manager you will design, optimize, and manage data environments supporting Digital ISR workflows. You will work closely with developers to containerize databases, enrichment processes, and analytics for modular deployment and implement automation pipelines, models, and scalable query logic to support dynamic operational needs. Additionally, you will oversee schema governance, indexing strategies, and system tuning to ensure data services are performant and mission ready. Finally, you will produce system enhancements and analytic workflows that align with SOCAF requirements and PIRs across mission environments.

Responsibilities

• Develop, implement, and maintain advanced analytical capabilities to support intelligence, surveillance, and reconnaissance (ISR) operations across the African Theater.
• Produce system enhancements and analytic workflows that align with SOCAFRCIA requirements and PIRs across mission environments.
• Possess a strong analytical background, be proficient in data science techniques, and translate complex data into actionable intelligence for tactical and strategic decision-makers.
• Work closely with intelligence analysts, operations personnel, and other technical experts to identify data-driven solutions to challenging problems.

Qualifications

Required:

• Current Top Secret/Specialized Compartmented Information Security Clearance.
• Master's Degree and 3+ years and or Bachelor's degree and 6+ years of experience in data science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience in database administration, design, and management (e.g., 5+ years).
• Experience managing enterprise-level databases in high-availability and mission-critical environments and familiarity with database migration, upgrades, and performance tuning.
• Proficiency in database management systems (DBMS), such as: Microsoft SQL Server, Oracle Database, MySQL, PostgreSQL, MongoDB or other NoSQL databases
• Experience with database design, normalization, and optimization.
• Strong skills in Structured Query Language (SQL) and database scripting and knowledge of cloud-based database services (e.g., AWS RDS, Azure SQL Database, Google Cloud SQL).

Desired:

• Master's degree preferred. or 10+ years of Data Science work with a focus on applying data science techniques to real-world problems.
• Experience working with ISR data.
• Familiarity with military intelligence processes and terminology.
• Knowledge of the African Theater and associated geopolitical challenges.
• Demonstrated ability to analyze complex data, identify trends, and draw meaningful conclusions.
• Experience with cloud computing platforms (e.g., AWS, Azure).
• Proficiency in programming languages such as Python and R.
• Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling techniques.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with big data technologies (e.g., Hadoop, Spark) a plus.
• Experience with geospatial data analysis tools (e.g., ArcGIS, QGIS) a plus.
• Proficiency in SQL and database management.
• Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.

Candidate will qualify for

• Moving expenses to relocate household from CONUS to Stuttgart, Germany
• Dependent Education
• LQA - Living Quarters Allowance

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.

Your potential is limitless. So is ours.

Learn more about CACI here.

Pay Range

The proposed salary range for this position is: $90,300 - 189,600 USD

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.