At a Glance
- Tasks: Drive impactful decision-making through advanced analytics and data engineering.
- Company: Join a dynamic team supporting USAFRICOM with innovative data solutions.
- Benefits: Competitive salary, security clearance opportunities, and professional growth.
- Other info: Collaborate with military personnel and contribute to mission-critical projects.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: 4+ years in data engineering and experience with big data technologies.
The predicted salary is between 60000 - 80000 € per year.
We are seeking a highly motivated Data Scientist to support USAFRICOM, driving impactful, data-driven decision-making through the application of advanced analytics and data engineering best practices. In this role, you will:
- Process, store, and quantitatively exploit Publicly Available Information (PAI) and Commercially Available Information (CAI).
- Develop and implement machine learning models and automated analytics across multi-source datasets.
- Conduct exploratory data analysis (EDA), perform large-scale data queries, and build scalable ETL pipelines using tools and languages such as Python, Spark, Synapse, and Neo4j in an Azure cloud environment.
- Ensure compliance with data security, regulatory requirements, and Intelligence Community tradecraft standards while maintaining high data quality.
- Clean, organize, integrate, and maintain data models and develop dynamic visualizations, dashboards, and reports that clearly communicate findings to both technical and non-technical stakeholders.
- Work closely with military personnel, partner nations, policy makers, and cross-functional teams to identify data needs, translate requirements into analytical solutions, and deliver fused intelligence products that support mission objectives.
- Document analytic methodologies, balance accuracy with operational timelines, and provide formal and informal briefings, presentations, and decision-support materials.
- Conduct customer outreach, track stakeholder satisfaction, and contribute to reporting and accountability mechanisms.
- Research and recommend emerging tools, techniques, and technologies to enhance analytical capabilities.
- Participate in national and international meetings, committees, and evaluations of analytical tools and software, supporting continuous improvement of mission systems.
- Adhere to strict security protocols, including Intelligence Community directives and operational security measures.
- Leverage the ability to operate independently, synthesize complex information into clear insights, and deliver high-quality analytical products in support of strategic and operational priorities.
Qualifications:
- 4+ years of experience in data engineering, including ETL development, data modeling, data integration, and geospatial datasets.
- 4+ years of experience using big data technologies, such as Spark, Elastic, or Snowflake.
- Experience with programming languages such as Python.
- Experience working within the IC and DoD joint environment.
- Knowledge of automation, artificial intelligence (AI), and machine learning (ML) techniques.
- Ability to manage multiple projects on tight deadlines while clearly conveying technical concepts to non-technical audiences.
- Ability to work collaboratively across teams to achieve objectives, and translate stakeholder needs into actionable solutions.
- TS/SCI clearance.
- HS diploma and 8+ years of experience in mathematics, statistics, or data science, or Associate's degree in Mathematics, Statistics, Engineering, or Data Science and 4+ years of experience in mathematics, statistics, or data science.
Preferred Qualifications:
- Experience with intelligence oversight policies and data governance standards.
- Experience with cloud-based data solutions in the Azure ecosystem.
- Experience with graph databases like Neo4j or Cosmos DB.
- Experience with natural language processing (NLP) and automated analytics.
- Experience implementing ML or AI solutions.
- Possession of excellent analytical skills for querying and interpreting large data sets.
- Possession of excellent verbal and written communication skills.
- Possession of excellent organizational and client-facing skills.
- Bachelor's degree in Mathematics, Statistics, Engineering, or Data Science.
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.
EEO Statement: 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.
Data Scientist employer: Booz Allen Hamilton
As a leading employer in the defence sector, we offer Data Scientists the opportunity to engage in meaningful work that directly supports national security objectives. Our collaborative work culture fosters innovation and professional growth, with access to cutting-edge technologies and continuous learning opportunities. Located in a dynamic environment, you will be part of a mission-driven team that values your contributions and prioritises employee well-being and development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with data science. Attend meetups or webinars, and don’t be shy about asking for informational interviews. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Spark, or machine learning. Use platforms like GitHub to share your code and visualisations. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate with both technical and non-technical stakeholders. Mock interviews can really help!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you that job!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with data engineering, machine learning, and any relevant tools like Python and Spark. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've applied advanced analytics or built ETL pipelines. This gives us a clear picture of your hands-on experience and how you tackle real-world problems using data.
Be Clear and Concise:When writing your cover letter or application, keep it clear and to the point. We appreciate straightforward communication, especially when it comes to complex topics like data analysis. Make it easy for us to see your value!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it helps us keep everything organised!
How to prepare for a job interview at Booz Allen Hamilton
✨Know Your Data Tools
Make sure you’re well-versed in the tools mentioned in the job description, like Python, Spark, and Neo4j. Brush up on your ETL processes and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Analytical Skills
Prepare to demonstrate your ability to conduct exploratory data analysis and build scalable data models. Bring examples of your previous work that highlight your analytical prowess and how you’ve turned complex data into actionable insights.
✨Understand the Mission
Familiarise yourself with USAFRICOM’s objectives and how data science plays a role in supporting military operations. This will help you articulate how your skills can directly contribute to their mission during the interview.
✨Communicate Clearly
Practice explaining technical concepts in simple terms, as you’ll need to convey your findings to both technical and non-technical stakeholders. Prepare a few examples where you successfully communicated complex data insights to diverse audiences.
