Sr. Software Engineer (TS/SCI)

IBM Computing; Frederick (MD); On-site; USD 140,000 - 190,000; Full time

Job summary

IBM is seeking a Data Scientist with Advanced Analytics skills to transform data into actionable insights for ISR analytics. You will build predictive models, manage diverse data, and deliver data-driven recommendations that optimize operations and decision-making.

The role requires strong Python/Java coding, data stewardship, and collaboration with stakeholders in a security-focused environment. The position is onsite in the Washington DC area (Reston, VA) with exposure to hybrid cloud and

Qualifications

• US Citizen with active TS/SCI clearance or 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.

Responsibilities

• 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 CI/CD tools like Docker, Podman, and Jenkins.

Skills

Python programming

Java programming

Hybrid cloud

Database technology

ETL development

Algorithm design

Fast prototyping

Education

Bachelor's Degree

Tools

MongoDB

Celery

Jenkins

Azure DevOps

React.js

Node.js

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.