About the job
As a Data Scientist, you're driven by curiosity and inspired by the challenge of uncovering insights from complex, messy data, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. You're passionate about solving real-world problems, and you're excited by the transformative potential of working with powerful tools like Palantir Foundry. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges and make a lasting impact to national security.
Responsibilities
Work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. Guide teammates and lead the development of algorithms and systems. Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Provide a deep understanding of the data, what it all means, and how it can be used.
Qualifications
Minimum
5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
5+ years of experience with statistical and general-purpose programming languages for data analysis
5+ years of experience analyzing structured and unstructured data sources
Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
Experience leading the development of solutions to complex programs
Experience building, validating, and deploying AI/ML models
Experience using analytics and visualization tools, such as Power BI, Tableau, or Palantir Foundry
Top Secret clearance
Bachelor’s degree
Preferred
5+ years of experience with Python preferred
Experience working within the Palantir Foundry platform creating data flows, ontologies, pipelines, and supporting analytics or model integration
Experience with scalable cloud platforms, such as Databricks for large-scale data processing and analytics
Experience with at least one major cloud provider, including AWS, such as SageMaker, S3, or EMR, Azure, such as AzureML or Data Factory, or similar
Experience in the development of algorithms leveraging R, Python, or SQL/NoSQL
Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
Experience with visualization packages, including Plotly, Seaborn, or ggplot2
TS/SCI clearance
Master's degree in Data Science, AI, CS, or a similar field