Chief Data Scientist

at  SAIC

Job ID: 2412602
Location: ROCK ISLAND, IL, US
Date Posted: 2024-09-27
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: Yes, 25 % of the Time
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: No
Description
SAIC is seeking a Chief Data Scientist role to join our Advanced Analytics Team at Rock Island Arsenal, IL.

JOB DESCRIPTION:

The successful candidate will have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results by creating and operationalizing data science and artificial intelligence products and solutions in support various customer missions within the Federal Government and other Public Sector organizations. You would support a variety of programs including but not limited to customer programs, IRAD projects and product development activities.
The Data Scientist role will work in a collaborative team-focused environment with technical understanding and practical application in prototyping, designing, and integrating niche tools which will be used in an analytical environment. This position will help progress, establish, incorporate, and advance current and promising concepts to inform tactical decision-making timelines. Your role is to provide needed technical knowledge in the areas of Predictive Analytics, AI/ML, Deep Learning Robotic Process Automation and Edge Computing to develop algorithms, support modeling and simulation efforts and provide data analytic skills to conduct a variety of analytical projects.

Job Duties:

• Lead and mentor more junior data scientists in support of a larger data science roadmap
• Conduct analysis of mission data applicable in multiple domains
• Formulate and interpret problems in mathematical or computational terms
• Design, develop, use, and evaluate mathematical models, methods, and algorithm application to explore concepts and solve problems for the customer
• Develop, maintain, and enhance complex and diverse software algorithms (e.g. processing-intensive analytics, novel process development, manipulation of large data sets)
• Research analysis products and tools for possible integration to enhance Analytics and AI offerings
• Create new tools and applications using a variety of software languages, frameworks, and libraries
• Improve, support, and test a MLOps framework to support other team member’s analysis work
• Refine and enhance existing applications to better meet the customer’s mission
• Code, test, and maintain internally developed mathematical software tools

Qualifications

REQUIRED EDUCATION AND EXPERIENCE:

• Bachelor’s degree and (18) eighteen years of relevant experience; four (4) years of experience accepted in lieu of degree

REQUIRED SKILLS:

• Demonstrated on-the-job knowledge of providing data analytics solutions
• Demonstrated proficiency in programming languages such as Python, C/C++, Java, and JavaScript
• Hands-on experience creating algorithms and engineering tools for data processing and modeling and simulation
• Practical understanding in machine learning deployment with a focus on optimization, including theoretical and numerical methods for refinement of models
• Must have the aptitude and attitude to tackle unsolved technical challenges
• Capability to distill complex problems into digestible structures/formats
  Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
  SAIC accepts applications on an ongoing basis and there is no deadline.
  Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site

• Lead and mentor more junior data scientists in support of a larger data science roadmap
• Conduct analysis of mission data applicable in multiple domains
• Formulate and interpret problems in mathematical or computational terms
• Design, develop, use, and evaluate mathematical models, methods, and algorithm application to explore concepts and solve problems for the customer
• Develop, maintain, and enhance complex and diverse software algorithms (e.g. processing-intensive analytics, novel process development, manipulation of large data sets)
• Research analysis products and tools for possible integration to enhance Analytics and AI offerings
• Create new tools and applications using a variety of software languages, frameworks, and libraries
• Improve, support, and test a MLOps framework to support other team member’s analysis work
• Refine and enhance existing applications to better meet the customer’s mission
• Code, test, and maintain internally developed mathematical software tool