Remote Junior Data Scientist: AI, ML & IoT Insights

Phase2 Technology; San Antonio (TX); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen is seeking a Junior Data Scientist to explore data, build ML models, and deliver insights from large IoT datasets. You’ll work with clients to understand questions, apply NLP/ML methods, and communicate findings through visualizations.

Ideal candidates have experience in data analysis, Python/R, and structured/unstructured data, plus TS/SCI clearance. This role emphasizes responsible AI and collaboration across multi-disciplinary teams.

Qualifications

• Experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
• Experience with statistical and general-purpose programming languages for data analysis.
• Knowledge of structured and unstructured data sources.
• Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing.
• Ability to develop predictive data models, quantitative analyses and visualization of targeted data sources.
• Ability to deploy natural language processing, text mining, or machine learning techniques.
• TS/SCI clearance.
• Bachelor's degree.

Responsibilities

• Apply data science methods to unlock insights from large IoT datasets.
• Develop predictive models and quantitative analyses to support decision making.
• Collaborate with clients to understand their questions and translate needs into data products.
• Create visualizations and narratives to communicate findings to stakeholders.

Skills

Data exploration

Data cleaning

Data analysis

Data visualization

Data mining

Statistics & programming

NLP/ML/AI

Structured/unstructured data

Python/R

TS/SCI clearance

Education

Bachelor's degree

Tools

MapReduce/Hadoop

Spark

Kafka

Hive

EMR

Gurobi

MySQL

Plotly/Seaborn/ggplot2

Job description

Booz Allen is seeking a Junior Data Scientist to explore data, build ML models, and deliver insights from large IoT datasets. You’ll work with clients to understand questions, apply NLP/ML methods, and communicate findings through visualizations.

Ideal candidates have experience in data analysis, Python/R, and structured/unstructured data, plus TS/SCI clearance. This role emphasizes responsible AI and collaboration across multi-disciplinary teams.