Sr. Software Engineer (TS/SCI)

IBM Computing; Maryland; On-site; USD 120,000 - 160,000; Full time

Job summary

IBM is seeking a Data Scientist with Advanced Analytics to enhance a classified ISR data and analytics service. You will build predictive models, analyze diverse data, and deliver data-driven insights to support decision-making.

Responsibilities include designing algorithms, using Python/Java, with tools like Jupyter, Pandas, and MongoDB. You will work with stakeholders and maintain CI/CD with Git platforms in on-prem or hybrid environments.

Qualifications

• Requires US Citizenship with TS/SCI clearance or eligibility per DISS.
• Bachelor’s degree in STEM fields.
• 4+ years of Python or Java programming experience.
• 4+ years designing and programming applications in hybrid cloud or on-prem environments.
• Experience with database technology and data validation.
• Experience with custom ETL development (e.g., Apache NiFi).
• Experience designing algorithms to infer relationships between events or entities.
• Ability to prototype end-to-end solutions on quick timelines.

Responsibilities

• Develop Predictive Models using optimization, discrete-event simulation, and rules programming (IBM CPLEX, Gurobi).
• Analyze diverse data with Python and tools like PyCharm, VS Code, Jupyter Notebook, Pandas, NumPy, Dask.
• Deliver data-driven insights for business optimization in domains like supply chain, pricing, and risk.
• Collaborate to deliver data-driven solutions and ensure effective data management.
• Maintain technical expertise with Git-based workflows and CI/CD tools (Docker, Podman, Jenkins).

Skills

Python

Java

Data Modeling

MongoDB

ETL

Algorithms

CI/CD

Docker/Podman

Git

Education

Bachelor's degree in STEM

Tools

Jupyter

PyCharm

VS Code

GitHub

GitLab

Docker

Jenkins

MongoDB

Apache NiFi

IBM CPLEX

Job description

Introduction

This team innovated a classified data service to support data-intensive assessment of Intelligence Surveillance Reconnaissance (ISR) system performance and effectiveness. We are seeking a software developer to improve existing features and innovate new features for a classified ISR data and analytics service. Responsibilities will include Improve algorithm performance, create new algorithms, improve data quality, incorporate new datasets, and enable new analytics. Maintain polyglot database environment and associated infrastructure, extend event-driven micro-services, and insert new technologies as appropriate to achieve stakeholder-desired capabilities. Interface with the client, stakeholders, military personnel, and data providers to ensure stakeholder buy-in and populate backlog for future innovation. This role is located onsite in the Washington DC area (primarily in Reston, VA)

Your role and responsibilities

As a Data Scientist with Advanced Analytics skills, you will leverage deep data and analytics expertise with strong business acumen to address business challenges. You will utilize data preparation, analysis, and predictive modeling to forecast trends and suggest optimizations for improved business outcomes. Your primary responsibilities will include:

• Develop Predictive Models: Design and implement predictive models using mathematical optimization, discrete-event simulation, and rules programming to drive business optimization. This includes utilizing tools like IBM CPLEX and Gurobi for optimization and SPSS, SAS, R, and Python for statistical analysis.
• Analyze Diverse Data: Manage and analyze diverse data types and structures using programming languages like Python and development environments such as PyCharm, VS Code, and Jupyter Notebooks. This involves data manipulation with Pandas, NumPy, and Dask, and data visualization with Matplotlib, Seaborn, and Plotly.
• Deliver Data-Driven Insights: Utilize data preparation, analysis, and predictive modeling to forecast trends and suggest optimizations for improved business outcomes. This includes applying machine learning, statistical modeling, and custom models in applications like supply chain management, pricing, risk assessment, and fraud detection.
• Collaborate on Solution Delivery: Work collaboratively to deliver data-driven solutions, ensuring effective data management and analysis to inform business decision-making.
• Maintain Technical Expertise: Stay up-to-date with industry-leading tools and technologies, including version control systems like Git, GitHub, and GitLab, and continuous integration and deployment (CI/CD) tools like Docker, Podman, and Jenkins.

Required technical and professional expertise

• US Citizen with active TS/SCI clearance or show immediate eligibility according to DISS security database
• Bachelor’s Degree, preferably in STEM fields.
• 4+ years of Python or Java programming experience
• 4+ years of experience designing and programming applications in hybrid cloud or on-prem environments
• Experience with employing, customizing, optimizing, and/or managing database technology and validating data.
• Experience with custom ETL (Extract, Transform, Load) development (vice employing off-the-shelf solutions, e.g. Apache Nifi)
• Experience with designing algorithms to infer relationships between events or entities
• Experience prototyping end-to-end solutions on quick timelines that enable consequential decisions, actions, or insights that were previously deemed impossible

Preferred technical and professional experience

• Experience developing, deploying, or integrating generative and agentic AI systems
• Experience with employing, customizing, optimizing, and/or managing MongoDB
• Experience with Celery or analogous asynchronous task queue technologies
• Experience with CI/CD tools (e.g. Azure DevOps, Jenkins)
• Experience with national or military intelligence capabilities and their use
• Experience with installing, provisioning, configuring, securing, and maintaining on-prem infrastructure as well as databases and enabling software development tools
• Experience with MVC frameworks (e.g., React.js), Node.js, and Web API design

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.