Data Scientist

Booz Allen Hamilton; Stuttgart; Hybrid; EUR 84.000 - 192.000; Vollzeit

Zusammenfassung

A global consulting firm in Stuttgart is looking for a Data Scientist to drive impactful data-driven decision-making. This role involves developing machine learning models and conducting exploratory data analysis to generate actionable insights. Candidates should have 5+ years of data science experience and proficiency in Python, as well as a TS/SCI clearance. The firm offers a competitive salary ranging from $99,000 to $225,000 annually and various benefits focused on employee well-being.

Leistungen

Health benefits

Tuition assistance

Work-life programs

Professional development opportunities

Qualifikationen

• 5+ years of experience in data science analysis and modeling.
• Experience with model development, tuning, and evaluation.
• Ability to apply advanced data mining techniques on large data sets.

Aufgaben

• Develop and evaluate machine learning models for business challenges.
• Conduct exploratory data analysis to uncover trends and insights.
• Create compelling data visualizations for stakeholders.

Kenntnisse

Data science analysis

Machine learning

Python

Data visualization

Data mining techniques

Statistical analysis

Adaptability

Ausbildung

Bachelor's degree or equivalent

HS diploma or GED

Tools

pandas

NumPy

scikit-learn

matplotlib

seaborn

Jobbeschreibung

Your growth matters to us - explore our career development opportunities.

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Connect with others in our people-first culture and enhance our collective ingenuity.

SUPPORT YOUR WELLBEING

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YOUR CANDIDATE JOURNEY

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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, OR 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 application process, 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.

Work Model

Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.