Senior Software Engineer (TS/SCI)

IBM

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Work type
On-site
Location
HamptonAnnapolis JunctionAlexandriaChantillyWashington, DCRestonMcLeanHerndonBethesdaCatonsvilleFrederickAshburn
Posted
140 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $179k
$139k $224k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $149,337–$207,825.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 265 open roles on FindRole.

Listed pay typically runs $180,812–$217,000 across 11 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer (TS/SCI)

As a Sr. Software Engineer (TS/SCI), you will join the team as a Data Scientist with Advanced Analytics skills to address complex business challenges through deep data expertise and business acumen. Your daily responsibilities involve developing predictive models using mathematical optimization, discrete-event simulation, and rules programming to drive business optimization. You will manage and analyze diverse data structures using Python, Pandas, NumPy, and Dask within PyCharm, VS Code, and Jupyter Notebooks. You will also utilize IBM CPLEX, Gurobi, SPSS, SAS, R, and Matplotlib for statistical analysis and visualization. The role focuses on delivering data-driven insights for supply chain management, pricing, risk assessment, and fraud detection. You will maintain technical expertise in Git, GitHub, GitLab, Docker, Podman, and Jenkins to ensure effective data management and solution delivery.

What does a Software Engineer earn in District Of Columbia?

Median $215000 from 45 postings across 11 companies.

See salary data

What you'll do

  • Design and implement predictive models using mathematical optimization, discrete-event simulation, and rules programming.
  • Utilize IBM CPLEX and Gurobi for optimization and SPSS, SAS, R, and Python for statistical analysis.
  • Manage and analyze diverse data types using Python, Pandas, NumPy, and Dask.
  • Create data visualizations using Matplotlib, Seaborn, and Plotly to communicate findings.
  • Forecast trends and suggest optimizations for supply chain management, pricing, risk assessment, and fraud detection.
  • Apply machine learning and statistical modeling to provide data-driven insights for business decision-making.
  • Manage version control and deployment using Git, GitHub, Docker, and Jenkins.

What we're looking for

  • Develop predictive models using mathematical optimization, discrete-event simulation, and rules programming.
  • Use IBM CPLEX and Gurobi for optimization and SPSS, SAS, R, and Python for statistical analysis.
  • Analyze diverse data structures using Python and environments like PyCharm, VS Code, and Jupyter Notebooks.
  • Perform data manipulation with Pandas, NumPy, and Dask.
  • Create data visualizations using Matplotlib, Seaborn, and Plotly.
  • Apply machine learning and statistical modeling to supply chain, pricing, risk assessment, and fraud detection.
  • Use version control systems including Git, GitHub, and GitLab.
  • Utilize CI/CD tools such as Docker, Podman, and Jenkins.

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