Data Scientist

Location: Stuttgart, Baden-Wurttemberg

Time Type: Full time

Job Description

Data Scientist

The Opportunity:
We are seeking a highly motivated Data Scientist to join our team and drive impactful, data-driven decision-making across the organization. In this role, you will be responsible for developing, implementing, and evaluating machine learning models that address a wide range of business challenges. You will conduct exploratory data analysis (EDA) to uncover meaningful trends, generate actionable insights, and identify potential data quality issues that could influence outcomes.

A key part of this position involves building clear, compelling, and effective data visualizations that communicate findings to both technical and non-technical stakeholders, ensuring that insights are accessible and actionable. Collaboration is central to the role. You will work closely with engineering, product, and business teams to define requirements and deliver solutions that align with strategic objectives.

We are looking for someone who is not only technically proficient, but also curious and forward-thinking. You will continuously explore and adopt new tools, technologies, and methodologies to enhance our data science capabilities, ensuring that our team remains at the forefront of innovation and best practices in the field.

Join us. The world can't wait.

You Have:

• 5+ years of experience performing data science analysis, modeling, and data-driven problem solving

• Experience with machine learning, including model development, tuning, and evaluation

• Experience with Python and common data science libraries such as pandas, NumPy, scikit-learn, matplotlib, or seaborn

• Experience with exploratory data analysis and data visualization techniques

• Ability to apply advanced data mining techniques and statistical analysis against large or disparate data sets to extract actionable insights 

• Ability to quickly learn new technologies and adapt to various projects in dynamic, fast-paced environments

• TS/SCI clearance

• HS diploma or GED and 11+ years of experience in data science, Associate's degree and 7+ years of experience in data science, OR Bachelor's degree and 3+ years of experience in data science

Nice If You Have:

• Experience supporting DoD intelligence environments or defense-related analytic missions

• Experience with modern data platforms such as Databricks or Palantir Foundry

• Experience with cloud platforms such as AWS

• Experience with software development practices such as Git or CI/CD

• Experience deploying and operationalizing machine learning models in production environments

• Experience working on classified systems and in resource-limited environments

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.