Data Scientist – AI/ML Lead for Federal Agencies

Halvik; Washington (District of Columbia); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Life, STD, LTD insurance

11 federal holidays + PTO

Performance-based incentives

401(k) with company matching

FSAs for commuter/medical/dependent

Tuition assistance

Charitable contribution matching

Job summary

Halvik Corp is seeking a Data Scientist to lead AI/ML projects in the federal space. You will guide federal agency clients with large structured and unstructured datasets, extracting insights and reducing manual analysis using various AI/ML techniques.

The role includes hands-on modeling work, collaboration with clients to deploy AI/ML models, and proposing innovative data solutions to expand beyond basic analysis.

Qualifications

• Proficient with advanced data science techniques and AI/ML; explain relevance to use cases.
• Expert in descriptive statistics and statistical methods with ML applications (e.g., correlation, regression, clustering).
• Proficient in Python, R, Matlab, Spark/PySpark, SQL (5+ years preferred).
• Self-starter with excellent communication skills, able to work independently, and lead projects/initiatives/people.
• 3+ years of practical data science experience.

Responsibilities

• Lead AI/ML projects in the federal space and guide agency clients with large datasets.
• Perform hands-on modeling and deploy AI/ML models in collaboration with clients.
• Develop and propose innovative AI/ML solutions to address data questions beyond standard analysis.

Skills

Data science expertise

Machine learning

Statistical analysis

Communication skills

Project leadership

Education

Advanced degree in STEM

Tools

Python

R

Matlab

Spark/PySpark

SQL

Job description

Halvik Corp is seeking a Data Scientist to lead AI/ML projects in the federal space. You will guide federal agency clients with large structured and unstructured datasets, extracting insights and reducing manual analysis using various AI/ML techniques.

The role includes hands-on modeling work, collaboration with clients to deploy AI/ML models, and proposing innovative data solutions to expand beyond basic analysis.