
Booz Allen Hamilton एक प्रबंधन और प्रौद्योगिकी परामर्श कंपनी है, जो उन्नत तकनीकी और रणनीतिक विशेषज्ञता के साथ सरकारी और वाणिज्यिक ग्राहकों को सेवाएँ प्रदान करती है। इसका कार्य राष्ट्रीय सुरक्षा, रक्षा, खुफिया, नागरिक सरकार और महत्वपूर्ण बुनियादी ढाँचे तक फैला हुआ है। कंपनी कृत्रिम बुद्धिमत्ता, साइबर सुरक्षा, क्लाउड कंप्यूटिंग, डिजिटल रूपांतरण, इंजीनियरिंग तथा मिशन और संचालन सहायता पर केंद्रित टीमों को एक साथ लाती है। यह विशेष रूप से सैन्य, खुफिया और संघीय एजेंसियों के लिए जटिल और उच्च-विश्वसनीयता वाली चुनौतियों पर काम करती है, साथ ही चुनिंदा वाणिज्यिक क्षेत्रों को भी सेवाएँ देती है।
Mid-Level Data Scientist
Develop machine-learning and AI solutions for complex datasets at Booz Allen Hamilton. Guide algorithms, visualizations, and client-focused analytics.
$77,600 – $1,76,000 / वर्ष
ऑन-साइटपूर्णकालिकजूनियरमध्य स्तरआवश्यक भाषा: अंग्रेज़ीडेटा वैज्ञानिकविवरण
- Extract insights from complex structured and unstructured data to address global challenges
- Work with clients to understand their questions and needs
- Analyze data-rich environments to identify useful information
- Guide teammates and lead the development of algorithms and systems
- Choose tools and frameworks to turn disparate data into objective answers
- Apply deep data expertise to advise clients in making informed decisions
- Build practical data science solutions using IoT, machine learning, and artificial intelligence
आवश्यकताएँ
- At least 2 years of experience with data science programming languages such as Python or R
- Experience using version control tools such as Git, GitLab, GitHub, or Bitbucket
- Knowledge of statistical analysis, predictive modeling, and machine-learning methods
- Ability to design and build automated analytical software, techniques, and algorithms
- Ability to develop solutions and integrate or extend free and open-source software (FOSS) or commercial off-the-shelf (COTS) products
- Ability to create data visualizations with tools such as Tableau, Power BI, or ArcGIS
- TS/SCI clearance
- Bachelor’s degree
- Experience with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, including their associated data and tools
- Experience in intelligence or operations analysis within the Department of Defense or Intelligence Community
- Experience building ETL pipelines, including querying APIs, cleaning and conditioning data, and creating data storage schemas
- Knowledge of DevOps practices, including CI/CD pipelines and Jenkins
- TS/SCI clearance with a polygraph
लाभ
- Health benefits
- Life insurance benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
- Identity verification and fraud prevention process
- Camera required during interviews and assessments
- AI tools allowed in interviews only with explicit permission