Data Scientist

Booz Allen Hamilton; Wiesbaden; Vor Ort; EUR 67.000 - 151.000; Vollzeit

Zusammenfassung

Booz Allen Hamilton seeks a Data Scientist to join a team supporting a four-star Army Headquarters in Europe and Africa. You will design and build mission-ready data solutions, integrating diverse data sources and applying ML/AI techniques to deliver actionable insights for stakeholders across a multinational environment.

You will cleanse and merge large datasets, develop scalable data pipelines in Foundry, and create modular workflows in Python.

Qualifikationen

• 5+ years programming and querying using Python, R, Scala or SQL.
• 5+ years building data applications for reporting and analytics.
• Experience creating data retrieval and processing workflows.
• Experience in cross-functional team environments.
• Experience with Maven Smart System or Palantir Foundry tools.
• Ability to manage tasks and projects independently.
• Bachelor’s degree in CS, data science or mathematics.

Aufgaben

• Perform data cleansing, integration, and quality assurance.
• Develop and maintain Foundry pipelines with Pipeline Builder.
• Build modular apps/workflows using Python and Foundry AIP.
• Provide training to guide stakeholders in Maven Smart System apps.
• Support testing, debugging, and performance tuning of Foundry apps.
• Troubleshoot data problems and propose innovative data solutions.

Kenntnisse

Programming languages

Data applications development

Data workflows

Collaborative teamwork

Maven/Palantir tools

Independent task management

Ausbildung

Bachelor’s degree in CS/Data Science/Math

Master’s degree in CS/Data Science/Math

Tools

Maven Smart System

Palantir Foundry

Jobbeschreibung

Join a culture of empowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

As a Data Scientist Operating and supporting a four-star Army Headquarters, you’ll bring your technical, computer science, data analysis, and data science expertise to collaborate, design and build innovative Solutions at an Army Service Component Command in support of operations in Europe and Africa.

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities.

On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

What You'll Work On:

Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.

Develop and maintain Foundry pipelines using Pipeline Builder to ingest, transform, and integrate data.

Build modular applications and workflows leveraging Python, and Foundry AIP.

Assist in providing training to guide stakeholders in using Maven Smart System applications.

Support testing, debugging, and performance tuning of Foundry applications.

Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.

Join us. The world can’t wait.

You Have:

5+ years of experience utilizing programming and querying languages, including Python, R, Scala, or SQL

5+ years of experience developing and maintaining data applications for reporting and analytics

Experience creating workflows for retrieving, parsing, and processing structured and unstructured data

Experience creating solutions within a collaborative and cross‑functional team environment

Experience with Maven Smart System or Palantir tools, such as Foundry

Ability to manage tasks and projects independently with minimal guidance and direction

Bachelor’s degree in computer science, data science, or mathematics

Nice If You Have:

Experience with distributed data and computer tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka

Experience with data visualization or geospatial tools, such as Tableau, Qlik, PowerBI, or ArcGIS

Experience working within a Combatant Command or other DoW organizations

Master's degree in computer science, data science, or mathematics

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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 $77,500.00 to $176,000.00 (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.

Data Scientist

The Opportunity:

As a Data Scientist Operating and supporting a four-star Army Headquarters, you’ll bring your technical, computer science, data analysis, and data science expertise to collaborate, design and build innovative Solutions at an Army Service Component Command in support of operations in Europe and Africa.

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities.

On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

What You’ll Work On:

• Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.

• Develop and maintain Foundry pipelines using Pipeline Builder to ingest, transform, and integrate data.

• Build modular applications and workflows leveraging Python, and Foundry AIP.

• Assist in providing training to guide stakeholders in using Maven Smart System applications.

• Support testing, debugging, and performance tuning of Foundry applications.

• Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.

Join us. The world can’t wait.

You Have:

• 5+ years of experience utilizing programming and querying languages, including Python, R, Scala, or SQL

• 5+ years of experience developing and maintaining data applications for reporting and analytics

• Experience creating workflows for retrieving, parsing, and processing structured and unstructured data

• Experience creating solutions within a collaborative and cross‑functional team environment

• Experience with Maven Smart System or Palantir tools, such as Foundry

• Ability to manage tasks and projects independently with minimal guidance and direction

• Secret clearance

• Bachelor’s degree in computer science, data science, or mathematics

Nice If You Have:

• Experience with distributed data and computer tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka

• Experience with data visualization or geospatial tools, such as Tableau, Qlik, PowerBI, or ArcGIS

• Experience working within a Combatant Command or other DoW organizations

• Top Secret clearance

• Master's degree in computer science, data science, or mathematics

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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 $77,500.00 to $176,000.00 (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.