Data Scientist, Senior
At a glance
AI generatedTL;DR
As a Senior Data Scientist at our innovative company, you will join a dynamic team focused on leveraging advanced analytics and machine learning to solve complex business challenges. Your primary responsibilities include developing sophisticated algorithms using Python or R, managing CI/CD pipelines for model deployment, and ensuring ethical AI practices are adhered to throughout the development process. You will work with large datasets utilizing tools such as Hadoop, Spark, and Kafka, contributing to scalable solutions that drive meaningful insights and improvements across our organization. Ideal candidates possess a strong background in machine learning applications and experience with distributed computing frameworks, making significant contributions to our mission of transforming data into actionable intelligence at scale.
Skills
What you'll do
- Develop and implement machine learning applications considering ethical AI principles.
- Manage continuous integration and deployment pipelines for ML projects.
- Create algorithms using programming languages like Python, R, or SQL/NoSQL.
- Utilize distributed data tools such as Hadoop, Spark, and Kafka for processing.
- Apply knowledge of CI/CD to streamline model development and deployment cycles.
What we're looking for
- Knowledge of AI/ML applications and ethical considerations.
- Experience in developing algorithms using R, Python, or SQL/NoSQL.
- Proficiency in managing CI/CD pipelines.
- Familiarity with distributed data/computing tools like Hadoop, Spark, Kafka.
- Bachelor’s degree required.
Employer
About Booz Allen Hamilton
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has 641 open roles on FindRole.
Listed pay typically runs $86,800–$198,000 across 628 roles with salary data.
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