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Data Scientist, Senior Manager

Booz Allen Hamilton

StuttgartOn-siteFull-Time2mo ago
This posting is more than 30 days old and may no longer be accepting applications. Browse current openings

Description

The Opportunity:

Ever-expanding technology like IoT, machine learning, and artifi cia l intelligence means that there’s more structured and unstructured data available today than ever before. As a Senior AI Delivery Manager, you know that leading teams in organizing and operationalizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced leader like you to drive strategy and delivery for advanced AI and data engineering solutions that impact critical missions.

As a Senior AI Delivery Manager at Booz Allen, you’ll lead and oversee data engineering and AI delivery activities on some of the most mission-driven projects in the industry. You’ll set direction, guide technical teams, and ensure successful implementation of enterprise-scale AI solutions, with a distinct focus on applied production AI.

Here, you’ll manage and mentor a multi-disciplinary team of analysts, data engineers, developers, and data scientists in a fast-paced, agile environment. You’ll leverage your experience in technical leadership, solution architecture, and operational excellence while you own the assessment, design, and delivery of advanced analytic and AI solutions for your clients.

Work with us to lead data and AI innovation for good.

Join us. The world can’t wait.

You Have:

  • 10+ years of experience in data engineering, application development, data science, or a technical field
  • 6+ years of experience designing, developing, operationalizing, and maintaining data applications for reporting and analytics at enterprise scale
  • 5+ years of experience delivering data engineer solutions for the DoW and Combatant Commands
  • 5+ years of experience in technical project leadership
  • 5+ years of experience with Python, SQL, Scala, or R
  • 1+ years of experience with Agentic AI capab ilities and platforms
  • Experience creating solutions within a collaborative, cross-functional team environment
  • TS / SCI clearance
  • Bachelor's degree

Nice If You Have:

  • Experience building narratives for demo and presentation
  • Experience with Palantir tools, such as Foundry or Gaia
  • Experience with Databricks
  • Experience with Large Language Models, including applied and theoretical
  • Experience with distributed data or computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
  • Experience with data visualization or geospatial tools, such as Tableau, Qlik, Power BI, or ArcGIS
  • Master’s degree

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 $162,800.00 to $303,000.00 (annualized USD). The estimate displayed represents the typical salary

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