Data Scientist (TS/SCI) - AI/ML & Big Data Expert

Constellation Technologies, Inc; Aurora (CO); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Affordable healthcare options

Dental insurance

Vision insurance

Life insurance

Disability insurance

Training reimbursement

401(k) with company match

Job summary

Constellation Technologies, Inc. is seeking a ML/AI-focused data scientist for complex analytics tasks on federal data. The role requires a degree in math or CS and a TS/SCI clearance with polygraph. Expect work involving big data, dataflows, and advanced statistical methods.

The position emphasizes translating mission needs into technical requirements, communicating results to non-technical stakeholders, and contributing to reproducible workflows across heterogeneous data sources.

Qualifications

• U.S. citizenship and TS/SCI with polygraph clearance required.
• Minimum years experience: Level 02/03/04 with degree as specified; two (02) years in last five (05) related to the job.
• Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science.

Responsibilities

• Design and implement machine learning, data science, and advanced analytical algorithms.
• Programming and data mining with statistical analysis; develop quantitative methods for large datasets.
• Communicate complex technical information to non-technical audiences; translate mission needs into technical requirements.
• Develop and implement qualitative and quantitative methods for characterizing large datasets in varying structures.

Skills

Big Data

Dataflows

AI/ML familiarity

Jupyter notebooks

Spark

Python

C

Education

Mathematics / Statistics / CS degree

Tools

Python

C

Job description

Constellation Technologies, Inc. is seeking a ML/AI-focused data scientist for complex analytics tasks on federal data. The role requires a degree in math or CS and a TS/SCI clearance with polygraph. Expect work involving big data, dataflows, and advanced statistical methods.

The position emphasizes translating mission needs into technical requirements, communicating results to non-technical stakeholders, and contributing to reproducible workflows across heterogeneous data sources.