Job
- Level
- Erfahren
- Job Feld
- Data, Application
- Anstellung
- Teilzeit / Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- 99.000 bis 225.000€ Brutto/Jahr
- Ort
- Stuttgart
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst und optimierst du ML-Modelle zur Analyse großer Datensätze, trainierst diese und implementierst Lösungen für militärische Anwendungsfälle bei AFRICOM.
Job Technologien
Deine Rolle im Team
- As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets.
- Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution.
- We need your technical knowledge and desire to problem-solve to support AFRICOM.
- As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that learn from data.
- In this role, you'll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies.
- You'll be part of a talented team of machine learning engineers across the company and collaborate with other developers to deliver world class solutions to senior military official in AFRICOM.
- Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
Unsere Erwartungen an dich
Ausbildung
- Bachelor's degree in a computer science field
Qualifikationen
- Secret clearance
- TS/SCI clearance
Erfahrung
- 3+ years of experience in application development
- 3+ years of experience with programming language including Python or Typescript
- Experience with Maven Smart System (MSS) and War Data Platform (WDP)
- Experience with Combatant Commands
Unser Angebot
- 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.
- 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.
- 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.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Booz Allen Hamilton
Booz Allen Hamilton ist seit mehr als 100 Jahren führend in Strategie und Technik. Heute bietet das Unternehmen Management- und Technologieberatung sowie Ingenieursdienstleistungen für weltweit führende Fortune-500-Unternehmen, Regierungen und gemeinnützige Organisationen an.
Description
- Unternehmensgröße
- 250+ Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Beratung, Bau, Immobilien, Haustechnik
Data Engineer
- Gehalt
- 99.000 bis 225.000€ Brutto/Jahr
- Ort
- Stuttgart
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
