Senior Software Engineer, Advanced Analytics (TS/SCI)

IBM; Boston (MA); On-site; USD 144,000 - 268,000; Full time

Job summary

IBM Consulting seeks a Data Scientist with Advanced Analytics to leverage deep data and analytics expertise for ISR data service challenges. You will forecast trends, build predictive models, and provide data-driven insights for business optimization.

Collaboration with clients, stakeholders, and data providers will shape backlog and future innovations. Responsibilities include developing predictive models, analyzing diverse data with Python, and delivering data-driven insights while maintaining

Qualifications

• Bachelor's degree required; Master's preferred.
• 4+ years of Python or Java programming experience.
• 4+ years designing and programming apps in hybrid cloud or on-prem environments.
• Experience with database technologies and validating data.
• Experience with custom ETL development and data integration.
• Experience designing algorithms to infer relationships between events or entities.

Responsibilities

• Develop predictive models using optimization, discrete-event simulation, and rules programming.
• Analyze diverse data with Python; use Jupyter/IDE tools for data manipulation and visualization.
• Deliver data-driven insights for business optimization across domains.
• Collaborate on data-driven solutions to inform decision-making.
• Maintain technical expertise with Git, CI/CD, Docker, and related tooling.

Skills

Python programming

Java programming

Data analysis

Predictive modeling

ETL development

Algorithm design

Education

Bachelor's Degree

Master's Degree

Tools

PyCharm

VS Code

Jupyter Notebooks

Pandas

NumPy

Dask

Matplotlib

Seaborn

Plotly

Docker

Git

GitHub

GitLab

Jenkins

IBM CPLEX

Gurobi

SPSS

SAS

MongoDB

Job description

IBM Consulting seeks a Data Scientist with Advanced Analytics to leverage deep data and analytics expertise for ISR data service challenges. You will forecast trends, build predictive models, and provide data-driven insights for business optimization.

Collaboration with clients, stakeholders, and data providers will shape backlog and future innovations. Responsibilities include developing predictive models, analyzing diverse data with Python, and delivering data-driven insights while maintaining