Job Description
Insight Global is looking to add a Senior Data Scientist to their Telecommunications client. We are looking for an individual with strong, hands-on experience designing, building, training, and implementing AI/ML models in production environments. This role requires hands on experience in AI and machine learning, deep Python expertise, and extensive use of AWS (including AWS Bedrock) and GCP. The ideal candidate has a strong database background (Oracle, SQL, MongoDB) or experience working with infrastructure operating systems, and has served as a technical lead on AI initiatives. This individual must be able to clearly explain prior use cases, methodologies, tools selected, and whether solutions were successfully implemented, while adapting quickly to the rapidly evolving AI landscape.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
5–10 years of hands-on experience in AI and machine learning development
Bachelor’s degree in Data Science, Computer Science, or a related field
Proven experience architecting, designing, coding, training, and implementing ML models in production
Strong Python programming experience
Hands-on experience with AWS (including AWS Bedrock) and cloud-based ML solutions
Experience with monitoring and dashboarding tools such as Prometheus and Grafana
Database experience with Oracle, SQL, and MongoDB or background working with infrastructure operating systems
Experience leading or owning AI/ML projects end to end
Nice to Have Skills & Experience
- AWS, GCP, or similar certification
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.