AI Engineer

NCR Voyix • Atlanta, GA

2d

About The Position

NCR Voyix is seeking a skilled Data Scientist (II) to apply advanced analytical techniques, machine learning, and statistical modeling to complex datasets. The role uses data to support informed decision-making and contribute to the development of customer solutions. The position works with product managers, engineers, and other cross-functional teams to turn business needs into analytical solutions and integrate models into production systems. It also contributes to knowledge sharing and the development of junior data scientists.

Requirements

• Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• 2–4 years of professional experience in a Data Scientist role, with a track record of delivering 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.
• Solid understanding of machine learning algorithms, including regression, classification, clustering, and time series analysis, and their practical applications.
• 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.
• Excellent communication, presentation, and interpersonal skills, including the ability to explain complex technical concepts to diverse audiences.
• Ability to work independently and collaboratively in a fast-paced, agile environment.

Responsibilities

• Design, develop, and implement machine learning models and algorithms to solve business problems and improve product performance.
• Analyze data to identify trends, patterns, and anomalies, and present findings to technical and non-technical stakeholders.
• Develop and maintain data pipelines, ensuring data quality, consistency, and accessibility for analysis.
• Collaborate with product managers, engineers, and cross-functional teams to define data requirements, translate business needs into analytical solutions, and integrate models into production systems.
• Evaluate and select analytical tools and techniques, keeping current with data science best practices and emerging technologies.
• Conduct A/B testing and other experimental designs to validate hypotheses and measure the impact of implemented solutions.
• Create visualizations and dashboards to communicate insights and support monitoring of key metrics.
• Mentor junior data scientists and contribute to continuous learning and knowledge sharing.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level