16 часов назад
Data Scientist (AI)
77 600 - 176 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI): Developing algorithms, predictive models, and analytical systems from structured and unstructured data with an accent on data exploration, R-based workflows, machine learning, and artificial intelligence. Focus on analyzing complex datasets, creating visualizations and quantitative models, and communicating actionable findings to non-technical clients.
Location: Remote in the United States; listed locations include McLean, Virginia; Bethesda, Maryland; and Washington, District of Columbia. Remote employees may occasionally be required to work in person at a Booz Allen or customer facility.
Salary: $77,600–$176,000 annualized USD.
Company
applies data science and technology to challenges across public and private-sector environments, including fraud detection, cancer research, and national intelligence.
What you will do
- Explore, clean, analyze, and visualize structured and unstructured data.
- Develop algorithms, predictive data models, and quantitative analyses.
- Build analytical workflows and systems using appropriate tools and frameworks.
- Work with clients to understand data questions and translate findings into objective recommendations.
- Integrate analytics into decision-making and mission-focused solutions.
Requirements
- At least 2 years of experience with data exploration, cleaning, analysis, or visualization.
- At least 2 years of experience using R for data preparation, ETL, or analytical workflows.
- Experience analyzing structured data and developing predictive models or quantitative analyses.
- Knowledge of machine learning, artificial intelligence, or natural language processing.
- Ability to communicate analytical findings and recommendations to non-technical personnel.
- Ability to obtain and maintain a U.S. government Public Trust or Suitability/Fitness determination. Bachelor’s degree required.
Nice to have
- Power BI dashboard and analytical visualization experience.
- Python, SQL, NoSQL, relational databases, Oracle, Linux, Databricks, or GitHub experience.
- Experience with anomaly detection, fraud-risk scoring, or integrating analytics into mission systems and automated workflows.
- Master’s degree.
Culture & Benefits
- Health, life, disability, financial, and retirement benefits.
- Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
- Recognition awards for exceptional performance and demonstration of company values.
- Virtual employees are generally expected to keep cameras on during meetings.
- Identity verification using biometrics and artificial intelligence is required during the hiring process; camera use is expected during interviews and assessments.
Hiring process
- Selected applicants undergo a government investigation and must meet applicable U.S. government client eligibility requirements.
- The process includes identity verification and camera-based interviews or assessments.
- Use of AI tools during interviews is prohibited unless explicitly permitted.
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