Job
- Level
- Experienced
- Job Field
- Data, Application
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Salary
- 99.000 to 225.000€ Gross/Year
- Location
- Stuttgart
- Working Model
- Full Remote, Hybrid, Onsite
Job Summary
In this role, you will develop and optimize ML models for analyzing large datasets, train them, and implement solutions for military use cases at AFRICOM.
Job Technologies
Your role in the 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 will 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 officials in AFRICOM.
- Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks.
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Our expectations of you
Education
- Bachelor's degree in a computer science field
Qualifications
- Secret clearance
- TS/SCI clearance
Experience
- 3+ years of experience in application development
- 3+ years of experience with programming languages including Python or Typescript
- Experience with Maven Smart System (MSS) and War Data Platform (WDP)
- Experience with Combatant Commands
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What we offer
- 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.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
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This is your employer
Booz Allen Hamilton
Booz Allen Hamilton is a leading provider of strategy and technology services for more than 100 years. Today, we offer management and technology consulting as well as engineering services for Fortune 500 companies, governments and nonprofit organizations worldwide.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Consulting, Construction, Real Estate, Building Services
Data Engineer
- Salary
- 99.000 to 225.000€ Gross/Year
- Location
- Stuttgart
- Working Model
- Full Remote, Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
