Data Engineer jobs in United States

• Translate business needs into data-driven problem statements and implement solutions using advanced analytics, machine learning, and AI techniques.
• Develop, train, and deploy models for predictive and prescriptive analytics, including anomaly detection, optimization, and customer experience improvement.
• Lead and mentor a team of data scientists, ensuring quality delivery and capability growth.
• Collaborate with cross-functional teams and external partners to deliver measurable business impact through AI and data solutions.
• Architect and enhance AI/ML capabilities for network and operational use cases (e.g. 5G optimization, autonomous systems).
• Communicate analytical insights effectively to both technical and non-technical stakeholders.

• Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field.
• 5+ years of experience in analytics and AI/ML model development and deployment.
• Strong knowledge of statistical modeling, supervised/unsupervised learning, and data visualization.
• Proficient in Python, PySpark, and modern analytics tools (e.g. Jupyter, Zeppelin).
• Experience handling large datasets and working with cloud or big data platforms.
• Excellent communication, leadership, and stakeholder management skills.

• Hands-on exposure to telecommunications, network analytics, or large-scale operational data.
• Familiarity with AI model lifecycle management and automation.
• Experience leading technical teams or mentoring data professionals.

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at kfok@morganmckinley.com with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Kin Long Fok

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R2095054