It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.

It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.

At Cisive, our vision is to make securing the right talent effortless. We provide technology-first background screening, identity verification, and continuous monitoring solutions that help organizations hire and manage their workforce with confidence.

Our Values

• Integrity First: Integrity guides every choice we make and every interaction we have. Whether working with colleagues or clients, we act with honesty, transparency, and accountability. We foster a culture of trust, respect, and ethical responsibility across our organization.
• Innovate Fearlessly: We challenge the status quo, embrace emerging technologies, and continuously refine our solutions to stay ahead of industry needs.
• Win Together: We break down barriers, share knowledge, and champion teamwork across departments, brands, and global offices to achieve our collective goals.
• Customer Obsessed: We go beyond transactional interactions to become trusted partners in risk mitigation and workforce management.
• Stay One Step Ahead: We proactively seek knowledge that helps us—and our clients—stay ahead of the curve

Job Summary

This role will be entrusted with real responsibilities that make a tangible impact. This role is a great opportunity to dive into meaningful work, gain substantial experience, and receive recognition for their contributions. This role will be supported by experienced professionals and given visibility to showcase skills and achievements.

Duties and Responsibilities

• Collaborate with the data and AI team to build data infrastructure such as ETL pipelines to ensure efficient data flow and data integration, and the creation and storage of datasets.
• Participate in the full lifecycle of AI projects, from data collection and preprocessing to model deployment and monitoring.
• Develop data visualizations and dashboards to communicate findings to stakeholders.
• Contribute to the development of internal tools and libraries to streamline data science workflows.
• Additional duties as assigned.

Minimum Qualifications

• Junior or Senior in Data Science, Computer Science, Statistics, Mathematics, or a related field with strong coursework and project work required.
• Strong SQL and Python programming skills required.
• General fluency in modern coding practices, including VS Code, GitHub, and test frameworks required.
• Experience with REST APIs and cloud-based application deployment a plus.
• Familiarity with libraries such as Pandas/Polars, FastAPI, and LangChain/LangGraph a plus.
• Excellent problem-solving skills, attention to detail, strong communication skills, and the ability to work effectively in a team environment.
• Self-motivated and able to manage multiple tasks with minimal supervision.

Working conditions

This job operates in a professional office environment or remotely.  This role routinely uses general office equipment. 

Physical requirements

• Ability to communicate clearly and exchange accurate information constantly.
• Constantly operates computer, keyboard, copy machine, phone, and other general office equipment.
• Ability to occasionally move objects up to 10 lbs.

Direct reports

None.