Design, develop, validate, and maintain workforce models and simulation capabilities to evaluate force structure changes, workforce flows, training pipelines, and readiness impacts, supporting workforce optimization and leadership decision-making.
Compensation
W2 Hourly rate: $45-$55. Pay rates are based on experience, qualifications, location, and certifications, and are subject to change at any time.
Responsibilities
Analyze, integrate, and prepare workforce, training, readiness, and force structure data from sources such as Envision, STARS DMOG, AFMA, ARM, LCOM, and AETC systems.
Develop and maintain workforce flow models, net flow analyses, and workforce health assessments to identify key drivers, bottlenecks, and constraints across the 2A force generation enterprise.
Design, develop, calibrate, and validate simulation models, including Discrete Event Simulation and System Dynamics, to evaluate workforce planning scenarios and force structure alternatives.
Apply quantitative analysis and forecasting techniques to assess workforce trends and readiness impacts.
Develop visualizations, dashboards, technical documentation, and analytical products to communicate findings and support leadership decision-making.
Requirements
Nice to have: Experience with Discrete Event Simulation modeling
As a Manager Data Science, you will spearhead the development and execution of advanced analytical strategies that drive business insights and operational excellence across multiple domains, leading a cross-functional team of data scientists, analysts, and engineers.
Compensation
Rs 2000000 - Rs 4200000 (i.e. INR 20-42 LPA)
Responsibilities
Lead the design, development, and deployment of predictive models using machine learning and statistical techniques.
Oversee end-to-end data science projects, from hypothesis generation to production-grade solution delivery.
Drive the adoption of Bayesian methods to enhance probabilistic inference and decision-support systems.
Mentor and coach a team of data scientists, fostering a culture of continuous learning and innovation.
Collaborate with product, engineering, and business leaders to translate data insights into actionable strategies.
As a Sr Data Scientist, you will spearhead advanced analytical initiatives that fuse Operations Research, Natural Language Processing, and Deep Learning to unlock actionable insights and drive decision‑making across multiple domains.
Lead data science initiatives focused on optimization and machine learning to drive business value for Capital One’s Retail Bank team.
Locations (2)
McLean, Virginia, United States
New York, New York, United States
Compensation
The minimum and maximum full-time annual salaries for this role are listed below, by location. McLean, VA: $197,300 - $225,100 for Mgr, Data Science New York, NY: $215,200 - $245,600 for Mgr, Data Science
Responsibilities
Work with Product Managers and Business Analysts to design in-market experiments, validating assumptions before full-scale development.
Formulate & solve complex problems by translating ambiguous business challenges into structured mathematical problems and implementing optimization models.
Build & deploy scalable models, developing, testing, and deploying production-grade optimization algorithms and simulation models using Python and commercial/open-source solvers.
Collaborate cross-functionally with Product, Engineering, and Business teams to integrate optimization engines into existing software systems and workflows.
Software Development Engineer InternMcDonald's Corporation · Chicago, US