Remote Data Scientist - Defense Supply Chain Risk Analytics

Serco; Madison (WI); Remote; USD 120,000 - 180,000; Full time

Job summary

Serco is seeking a motivated Data Scientist to support the SCRM program, focusing on data-driven insights and analytics to mitigate supply chain risks. The role requires US citizenship and the ability to obtain a DoW Secret clearance, with remote work supporting a national team and interactions with government stakeholders.

You will develop AI/ML solutions, work with SQL/NoSQL databases, and present findings to technical and non-technical audiences.

Qualifications

• Bachelor's in Data Science, Computer Science, Statistics, Engineering or a related field.
• 2 years of hands-on experience in data science, analytics, or applied machine learning.
• Strong proficiency in Python and core data science libraries.
• Experience with databases (SQL and/or NoSQL).
• U.S. citizenship and ability to obtain DoW Secret clearance.

Responsibilities

• Develop and implement data science solutions to analyze large and complex datasets related to supply chain networks.
• Design and implement valuable business solutions for the organization.
• Apply statistical methods, AI, ML, and predictive modeling to identify patterns and risks.
• Write clean, efficient Python code using data science libraries.
• Query, manipulate, and analyze structured and unstructured data (SQL/NoSQL/Hive).
• Present findings through reports, dashboards, and briefings to stakeholders.

Skills

Data science

Python

Machine learning

Data analysis

Education

Bachelor's degree

Tools

SQL

NoSQL

Pandas

TensorFlow

Job description

Serco is seeking a motivated Data Scientist to support the SCRM program, focusing on data-driven insights and analytics to mitigate supply chain risks. The role requires US citizenship and the ability to obtain a DoW Secret clearance, with remote work supporting a national team and interactions with government stakeholders.

You will develop AI/ML solutions, work with SQL/NoSQL databases, and present findings to technical and non-technical audiences.