Full-Stack JS & AI Analytics Engineer

Infosys Limited; Columbus (OH); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Long-term/Short-term Disability

Health and Dependent Care Reinvestment

Insurance (Accident, Critical Illness,

401(k) plan

Job summary

Infosys DNA unit seeks a Data Science Consultant 2 to transform data into actionable insights using AI and analytics. You will develop data preparation tasks, build models, and deploy production-ready solutions in collaboration with cross-functional teams.

Join a culture of continuous learning and work with SAS, R, Python, and LLM-driven approaches to deliver scalable analytics projects that drive business growth and operational efficiency.

Qualifications

• Bachelor’s degree or foreign equivalent required; equivalent experience considered.
• This position may require relocation and/or travel to work/project location.
• Citizenship/work authorization: candidates authorized to work in the United States without sponsorship are welcome to apply.

Responsibilities

• Develop data preparation tasks and identify patterns or anomalies.
• Ensure data readiness for advanced modeling.
• Develop models for complex use cases and refine algorithms.
• Conduct testing and optimize algorithms for performance and scalability.
• Design and deploy predictive models and data-driven analyses.
• Collaborate with stakeholders to refine requirements and guide implementation.
• Apply governance controls to mitigate risks and ensure compliance.
• Maintain documentation and participate in knowledge transfer sessions.

Education

Bachelor’s degree or foreign equivalent

Tools

SAS

R

Python

Job description

Infosys DNA unit seeks a Data Science Consultant 2 to transform data into actionable insights using AI and analytics. You will develop data preparation tasks, build models, and deploy production-ready solutions in collaboration with cross-functional teams.

Join a culture of continuous learning and work with SAS, R, Python, and LLM-driven approaches to deliver scalable analytics projects that drive business growth and operational efficiency.