Data Science - ENG03 - Cleared On-Site - Blackstone Talent Group

Blackstone Talent Group, an award-winning technology consulting and talent agency is seeking a Data Science - ENG03 - Cleared On-Site to join our Client's team.

This position will be at Customer site in Tyson's corner, VA.

• Collaborate with data and subject matter experts from C3 AI and its customer teams to seek, understand,
• validate, interpret, and correctly use data and business insights
• Train, validate and deploy machine learning pipelines
• Test, troubleshoot, and enhance customer software applications with and on behalf of customers
• Identify application performance bottlenecks and implement optimizations
• Write application specifications, tutorials and documentation

Preferred Qualifications:

• MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields
• Applied Machine Learning experience (regression and classification, supervised, and unsupervised
• learning)
• Strong mathematical background (linear algebra, calculus, probability and statistics)
• Proficiency in time-series data analysis, cleansing, and normalization
• Experience with scalable Machine Learning (MapReduce, streaming)
• Software development experience with JavaScript and Python
• Experience with Git or other version control software
• Ability to drive a project and work both independently and in a team
• Smart, motivated, can do attitude, and seeks to make a difference
• Excellent verbal and written communication

Security Clearance Required: Secret

Blackstone Talent Group is a wholly owned subsidiary of Blackstone Technology Group, a global IT services and software firm that implements technological solutions across commercial industry verticals and the US Federal Government. Blackstone's global talent augmentation practice was founded in 1998. Blackstone Talent Group has offices in San Francisco, Denver, Houston, Colorado Springs, and Washington, DC. We specialize in providing clients the best talent across a variety of industries and sectors.

EOE of Minorities/Females/Veterans/Disabilities