Posted by Booz Allen Hamilton is hiring a Data Scientist in Stuttgart, Germany, for a full-time position based at Curiestrasse 2, 70563 Stuttgart. The advertised compensation range is €99,000 to €225,000 per year in the job listing, although the detailed compensation section specifies the range as $99,000 to $225,000 annualized USD.
The Data Scientist role focuses on using machine learning, artificial intelligence, data engineering, and analytics to transform complex structured and unstructured datasets into useful information for decision-making. The successful candidate will work with clients and cross-functional teams to develop algorithms, data pipelines, machine learning solutions, and systems that address real-world challenges.
A Secret security clearance and a bachelor’s degree are required. Candidates with experience in Python, SQL, TypeScript, geospatial analytics, distributed data platforms, Palantir Foundry, and other advanced technologies may have an advantage.
Job Overview
- Job Title: Data Scientist
- Company: Booz Allen Hamilton
- Location: Curiestrasse 2, 70563 Stuttgart, Germany
- Employment Type: Full-time
- Salary Listed: €99,000–€225,000 per year
- Detailed Compensation Range: $99,000–$225,000 annualized USD
- Experience: 3+ years in several relevant data science and machine learning areas
- Education: Bachelor’s degree
- Required Clearance: Secret clearance
- Preferred Clearance: TS/SCI clearance
- Job Category: Data Science / Machine Learning / Artificial Intelligence
- Posting Period: The listing states that the posting will close within 90 days from the posting date
About Booz Allen Hamilton
Booz Allen Hamilton describes its Data Scientist opportunity as a chance to use data science to create practical impact across private and public-sector challenges.
The company works with complex data environments involving structured and unstructured information and applies technologies such as machine learning, artificial intelligence, and IoT. According to the listing, its data science work can support areas ranging from fraud detection and cancer research to national intelligence.
Job Description
The Data Scientist will work with data-rich environments to uncover useful insights and develop solutions that help clients make informed decisions.
The role involves designing and maintaining machine learning and data-centric applications, building production-ready data and ML pipelines, processing different types of data, and incorporating large language models into analytical and machine learning workflows.
The successful candidate will collaborate with data scientists, ML engineers, analysts, platform engineers, and other professionals to deliver end-to-end data science and machine learning solutions.
Key Responsibilities
The Data Scientist will be expected to:
- Develop and maintain machine learning, AI-driven, and data-centric applications.
- Design, build, and operationalize data and machine learning pipelines in production environments.
- Retrieve, parse, and process structured, semi-structured, and unstructured data.
- Prepare data for analytics, feature engineering, and machine learning model development.
- Integrate large language models into analytical and machine learning workflows.
- Apply prompt design and inference orchestration when working with LLM-based solutions.
- Automate data processing activities.
- Develop algorithms and systems that transform complex datasets into useful information.
- Work closely with clients to understand their data-related questions and requirements.
- Collaborate with data scientists, ML engineers, analysts, and platform engineers.
- Contribute to end-to-end data science and machine learning solutions.
Qualifications and Requirements
Candidates applying for the Data Scientist jobs in Stuttgart should meet the core requirements stated by Booz Allen Hamilton.
Required qualifications include:
- At least 3 years of experience developing and maintaining machine learning, AI-driven, or data-centric applications.
- At least 3 years of experience designing, building, and operationalizing data and ML pipelines in production environments.
- At least 3 years of experience retrieving, parsing, and processing structured, semi-structured, and unstructured data.
- At least 3 years of experience supporting analytics, feature engineering, and model development.
- At least 3 years of experience integrating large language models into analytics and machine learning workflows.
- Experience with prompt design, inference orchestration, and automated data processing.
- Experience working in cross-functional teams to deliver data science or machine learning solutions.
- Secret security clearance.
- Bachelor’s degree.
Additional Qualifications That Are an Advantage
The listing identifies several additional qualifications that may strengthen a candidate’s profile:
- 3+ years of experience with Python, SQL, or TypeScript in data or machine learning engineering environments.
- 3+ years of experience with UI/UX design.
- 3+ years of experience working with geospatial datasets.
- Experience in spatial analytics or geospatial machine learning workflows.
- 3+ years of experience with distributed data and computing technologies such as Spark, Databricks, Hadoop, Hive, AWS EMR, and Kafka.
- Experience handling large-scale machine learning workloads.
- Experience working in a Combatant Command or international mission-focused environment.
- Experience applying data science or machine learning methods to operational decision-making.
- Experience using Palantir Foundry for data modelling, pipeline development, or operational analytics.
- TS/SCI security clearance.
Security Clearance Requirement
Secret clearance is required for this Data Scientist position. Applicants selected for the role will be subject to a security investigation and may need to satisfy eligibility requirements for access to classified information.
The listing also identifies TS/SCI clearance as a preferred qualification.
Salary and Benefits
The job listing displays a salary range of €99,000 to €225,000 per year. However, the detailed compensation section states a projected compensation range of $99,000 to $225,000 annualized USD. Booz Allen explains that actual salary may depend on factors including location, education, knowledge, skills, competencies, experience, contract affordability, and organisational requirements.
The listed benefits and employee support programs include:
- Health benefits.
- Life insurance benefits.
- Disability benefits.
- Financial and retirement benefits.
- Paid leave.
- Professional development opportunities.
- Tuition assistance.
- Work-life programs.
- Dependent care support.
- Recognition awards for exceptional performance and demonstration of company values.
The listing states that full-time and part-time employees who regularly work at least 20 hours per week are eligible to participate in Booz Allen’s benefit programs, while employees below that threshold are eligible only for select offerings.
Work Model
The supplied listing does not explicitly identify this particular position as remote, hybrid, or onsite. It provides general information about Booz Allen’s work models.
For positions classified as remote, the company notes that employees may still occasionally be required to work in person at a Booz Allen or customer facility. Hybrid positions involve frequent work from a Booz Allen facility and may also require work at or visits to customer facilities.
Who Should Apply?
This Data Scientist opportunity is suited to experienced data science and machine learning professionals with a strong background in production AI and data systems.
Candidates should be comfortable working with complex datasets, developing production ML pipelines, integrating LLMs into analytical workflows, and collaborating with multidisciplinary technical teams.
Professionals with additional experience in Python, SQL, TypeScript, geospatial analytics, distributed computing platforms, Palantir Foundry, or mission-focused environments may have an advantage.
Because Secret clearance is required, applicants should also be prepared to meet the applicable security investigation and classified-information eligibility requirements.
Frequently Asked Questions
Where is the Data Scientist job located?
The position is listed at Curiestrasse 2, 70563 Stuttgart, Germany.
How much does the Data Scientist position pay?
The job listing displays €99,000 to €225,000 per year. The detailed compensation section, however, specifies a projected range of $99,000 to $225,000 annualized USD.
How much experience is required?
The position requires at least 3 years of experience in several areas, including machine learning or AI-driven applications, production data and ML pipelines, data processing, and LLM integration into analytics and ML workflows.
Is a bachelor’s degree required?
Yes. A bachelor’s degree is listed among the required qualifications.
Is security clearance required for this Data Scientist job?
Yes. Secret clearance is required. TS/SCI clearance is listed as a preferred qualification.
What programming languages are useful for this position?
The listing identifies Python, SQL, and TypeScript as useful experience, with at least 3 years of experience preferred in data or machine learning engineering contexts.
What technologies may give candidates an advantage?
Additional experience with Spark, Databricks, Hadoop, Hive, AWS EMR, Kafka, Palantir Foundry, geospatial technologies, and distributed computing ecosystems may strengthen a candidate’s profile.
Does Booz Allen provide employee benefits?
Yes. The listing describes health, life, disability, financial and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards.
How to Apply
Interested candidates who meet the required qualifications and experience criteria should submit their application.
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