NCR Voyix is hiring an AI Engineer (Data Scientist II) in Atlanta, GA to drive analytics and machine learning initiatives onsite.

Design, develop, and deploy machine learning models and algorithms to address business problems and improve product performance
Perform deep data analysis to surface trends, patterns, and anomalies, then communicate results clearly to technical and non-technical stakeholders
Build and maintain data pipelines focused on data quality, consistency, and accessibility for analytics and modeling
Partner with product managers, engineers, and cross-functional teams to define data needs, map business objectives to analytical solutions, and integrate models into production systems
Assess and choose analytical tools and techniques, staying current with industry best practices and emerging data science approaches
Run A/B testing and other experimental designs to validate hypotheses and quantify the impact of deployed solutions
Create visualizations and dashboards to present insights and support monitoring of key metrics
Mentor junior data scientists and support a team culture centered on continuous learning and knowledge sharing

Master’s degree or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline
2-4 years of professional experience in a Data Scientist role, with evidence of delivering impactful, data-driven solutions
Strong proficiency in Python or R for data manipulation, statistical analysis, and machine learning
Expertise in SQL for querying and manipulating large datasets
Practical knowledge of machine learning methods including regression, classification, clustering, and time series analysis
Experience with big data technologies such as Spark, Hadoop, or similar distributed computing frameworks
Familiarity with cloud platforms such as AWS, Azure, or GCP and their data services
Strong communication and presentation skills, including the ability to explain complex technical concepts to diverse audiences
Ability to work independently and collaboratively in a fast-paced, agile environment

Python, R, SQL
Machine learning, regression, classification, clustering, time series analysis
Spark, Hadoop
AWS, Azure, GCP

AI Engineer

Job Description