Sr. Data Scientist (AWS, AI, ML)
Akaasa Technologies
Crystal, Arlington County$181,462 - $181,462 est.Full-timePosted 1 day ago
8 years as a Data Scientist. Seeking both model building and deployment experience. - Degree'ed professionals are preferred (4 additional years of experience could replace degree) - Python and SQL are required. Advanced proficiency in Python and Spark/Scala for classical statistical analysis and data modeling, machine learning and ETL processes. Intermediate to advanced ability to create data visualizations using Python. - AWS Cloud knowledge (AWS migration considered big plus). Must have solid…
The average job posting receives 250 applications.
Stand out by tailoring your resume to this specific role. Our AI resume builder highlights the skills and experience that matter most to this employer.
More open roles at Akaasa Technologies
More software engineering roles in Crystal
Explore related listings
Frequently asked questions
Who is hiring for Sr. Data Scientist (AWS, AI, ML) at Akaasa Technologies?+
Akaasa Technologies is actively hiring for this Sr. Data Scientist (AWS, AI, ML) role. Click "Apply Now" to submit your application directly on Akaasa Technologies's careers page — Careeronaut doesn't charge employers or candidates for referrals.
When was this Sr. Data Scientist (AWS, AI, ML) role posted?+
This listing was first posted on 2026-06-08. We pull the latest copy from the source feed daily, and any role that's taken down gets removed from Careeronaut within seven days so you don't waste time on stale listings.
How should I apply to this Sr. Data Scientist (AWS, AI, ML) role?+
Start by tailoring your resume to the posting — most applicants send generic CVs and the first filter recruiters use is keyword relevance. Careeronaut's AI does this automatically: paste the job description, get a matched resume in under a minute, and download as PDF or DOCX.
Where can I find more Software Engineering jobs in Crystal?+
Browse all open software engineering roles in Crystal on the listing pages linked below. You can filter by salary, remote-friendly, and posting date.