Remote Data Scientist (ML/AI) – Secret Clearance

Bah; San Diego (CA); Vor Ort; USD 78.000 - 176.000; Vollzeit

Zusammenfassung

Booz Allen is seeking a Data Scientist to unlock insights from large data sets across IoT, ML, and AI, delivering data-driven answers for clients in both private and public sectors. You will analyze data, build predictive models, and communicate findings to stakeholders.

The role emphasizes collaboration with clients to understand questions, explore data-rich environments, and develop dashboards and visualizations that turn data into actionable decisions.

Qualifikationen

• Experience with data analysis or data operations.
• Knowledge of statistical and general-purpose programming languages for data analysis, including Python, SQL, or R.
• Knowledge of predictive data models, quantitative analyses, or visualization of targeted data sources.
• Knowledge of text mining or machine learning techniques.
• Ability to conduct data exploration, data cleaning, data analysis, data visualization, data mining or developing data dashboards, data management tools or data modeling tools.
• Secret clearance.
• Bachelor’s degree.

Aufgaben

• Analyze complex datasets to provide actionable insights for clients.
• Develop algorithms and systems using data science techniques to answer client questions.
• Collaborate with clients to understand needs and translate data into objective answers.

Kenntnisse

Data analysis

Python

SQL

R

Predictive modeling

Text mining

Machine learning

Data exploration

Data cleaning

Data visualization

Data dashboards

Data modeling

Security clearance

Ausbildung

Bachelor's degree

Tools

Palantir Foundry

Plotly

Seaborn

ggplot2

Power BI

Tableau

Qlik

MapReduce

Hadoop

Hive

EMR

Kafka

Spark

Gurobi

MySQL

Jobbeschreibung

Booz Allen is seeking a Data Scientist to unlock insights from large data sets across IoT, ML, and AI, delivering data-driven answers for clients in both private and public sectors. You will analyze data, build predictive models, and communicate findings to stakeholders.

The role emphasizes collaboration with clients to understand questions, explore data-rich environments, and develop dashboards and visualizations that turn data into actionable decisions.