Senior Data Scientist: ML, Predictive Insights & Impact

US AI; North Bethesda (MD); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

401(k) matching

Competitive salary

Dental insurance

Health insurance

Paid time off

Vision insurance

Training & development

Job summary

US AI in North Bethesda, MD, is seeking a Sr. Data Scientist to analyze large datasets, uncover insights, and drive data-driven decision making across the organization.

You will design and deploy predictive models, collaborate with engineering to bring analytics prototypes to production, and present actionable insights to stakeholders using clear visualizations. Qualifications include a strong foundation in statistics, ML, and cloud data platforms; you will build scalable data architectures and

Qualifications

• Bachelor's degree or equivalent in a quantitative field.

Responsibilities

• Analyze raw data: assess quality, cleanse, structure for processing.
• Design accurate and scalable prediction algorithms.
• Collaborate with engineering to productionize analytical prototypes.
• Generate actionable insights for business improvements from large datasets.
• Create and use advanced ML algorithms and statistics (regression, clustering, neural networks).
• Create data architectures.
• Visualize and present data to stakeholders.

Skills

SQL

Data analysis

Machine learning

Python

C/C++

Tableau

Big Data

Communication

Data ethics

Cloud platforms

Predictive modeling

Data architectures

Data cleansing

Education

Bachelor's degree

1 year data analysis experience

Internships/coursework/projects

Cloud platforms (AWS/GCP/Azure)

7+ years experience

Tools

Cassandra

Hadoop

Spark

Tableau

Job description

US AI in North Bethesda, MD, is seeking a Sr. Data Scientist to analyze large datasets, uncover insights, and drive data-driven decision making across the organization.

You will design and deploy predictive models, collaborate with engineering to bring analytics prototypes to production, and present actionable insights to stakeholders using clear visualizations. Qualifications include a strong foundation in statistics, ML, and cloud data platforms; you will build scalable data architectures and