Data Scientist — ML/AI for Global Impact (Remote)

Booz Allen Hamilton; North Dakota; Hybrid; USD 99,000 - 225,000; Full time

Benefits offered by this job

Health benefits

Life insurance & disability

Tuition assistance

Paid leave & work-life programs

Professional development

Job summary

Booz Allen Hamilton is seeking a data scientist to unlock insights from large data sets, including IoT, ML, and AI. You will lead algorithm development, work with clients to define questions, and guide teams to build data-driven solutions that inform strategic decisions.

We value practical experience in data cleansing, visualization, and deploying models at scale, with a TS/SCI clearance requirement for certain roles. A strong foundation in statistics and programming is essential.

Qualifications

• 3+ years of experience with using programming languages to manipulate and analyze data, including Python, R, and SQL.
• Experience deploying and maintaining user-facing or user-accessible models.
• Experience with data cleansing, data analytics, inferential statistics, programming, data visualization, and system integration to provide data solutions.
• Experience developing data visualizations, dashboards, or lightweight web applications to communicate key insights.

Responsibilities

• Lead the development of algorithms and systems across client engagements.
• Work closely with clients to understand questions and needs and analyze data to provide actionable insights.
• Guide teammates and oversee project work to deliver data-driven solutions.
• Turn disparate data points into objective answers to advise clients on decision making.

Skills

Python

R

SQL

Model deployment

Data cleansing

Data visualization

Machine learning

Education

Bachelor’s degree

Job description

Booz Allen Hamilton is seeking a data scientist to unlock insights from large data sets, including IoT, ML, and AI. You will lead algorithm development, work with clients to define questions, and guide teams to build data-driven solutions that inform strategic decisions.

We value practical experience in data cleansing, visualization, and deploying models at scale, with a TS/SCI clearance requirement for certain roles. A strong foundation in statistics and programming is essential.