are seeking a highly skilled and experienced Senior AI/ML Data Scientist to develop and integrate advanced AI and machine learning models into our existing architecture. The objective of this role is to build predictive, prescriptive, and forecasting models, as well as provide capabilities for free-text querying, within a decision support tool used for logistician decision-making in near-real-time operations.
Res
ponsibilities:
Dev
- elop and integrate AI/ML models using machine learning algorithms and deep learning neural networks to work with Command Common Operating Picture data repositories.
Pr
o- vide advanced analytics solutions through visual displays on geographic models/maps and dashboards, supporting predictive and prescriptive analytics, as well as free text query capabilities.
Wo
r- k closely with stakeholders to ensure AI/ML workflows support Cyber, Knowledge, and Information Management disciplines, enabling the Decision-Making Process for Command Staff.
Bu
i- ld predictive models from large datasets, ensuring alignment with logistics objectives and desired outcomes.
De
s- ign and implement data ingestion and transformation infrastructure to interface with data repositories and support seamless integration with enterprise systems.
De
v- elop AI/ML models in accordance with enterprise standards, ensuring efficient data sharing across joint enterprise systems.
T
hi
s position is designed to be flexible, with responsibilities evolving to meet business needs and enable individual growth.
R
eq
uirements:
Act
- ive TS-SCI
Ma
s- ter’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
Ex
p- erience with Advana, Maven, or Databricks.
A
m- inimum of 8 years of industry experience in predictive modeling, data science, and analytics.
Ex
p- erience can serve as a substitute for education.
A
d- eep understanding of machine learning and deep learning algorithms, frameworks, and tools.
St
r- ong programming skills and experience in software engineering, particularly in developing specialized AI models for logistics and decision support systems.
De
m- onstrated experience with building AI/ML models and integrating them with large-scale data repositories and decision support platforms.
Ab
i- lity to work collaboratively with cross-functional teams, including Command Staff, to ensure integration and functionality of the AI/ML tools.
Ex
p- erience with command-level decision support tools and logistical data systems.
Fa
m- iliarity with Cyber, Knowledge, and Information Management disciplines in a military or operational environment.
W
hy
Work for Us?
Cor
e4ce is a team of innovators, self-starters, and critical thinkers—driven by a shared mission to strengthen national security and advance warfighting outcomes.
W
e
offer:
4
01
- (k) with 100% company match on the first 6% deferred, with immediate vesting
Co
m- prehensive medical, dental, and vision coverage—employee portion paid 100% by Core4ce
Un
l- imited access to training and certifications, with no pre-set cap on eligible professional development
Tu
i- tion assistance for job-related degrees and courses
Pa
i- d parental leave, PTO that grows with tenure, and generous holiday schedules
Go
t- a big idea? At Core4ce, The Forge gives every employee the chance to propose bold innovations and help bring them to life with internal backing.
J
oi
n us to build a career that matters—supported by a company that invests in you.
A
ll
qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, disability, veteran status, age, genetic information, or other legally protected status.
*
Co
- e4ce provides the listed pay range for this position as a general guideline only and not as a guarantee of compensation or salary. Final offers may take into account a variety of factors, including, but not limited to, job responsibilities, education, experience, knowledge, skills, abilities, internal equity, market data alignment, any applicable collective bargaining agreement, and other legal requirements.
S
al
