Job Information
Cardtronics USA, Inc., a subsidiary of NCR Atleos Data Scientist II in Atlanta, Georgia
[[Job Description:]{calibri=""}]{new="" roman="" times=""}
- Developing and implementing predictive models using statistical and machine learning techniques to improve business processes and decision-making .
- Performing exploratory data analysis to uncover patterns, trends, and insights in data that can inform business decisions.
- Conducting research and analysis, ranging from producing summary statistics to more sophisticated analysis for the organization.
- Working hands-on with large sets of point of sales telemetry data to help develop new applications, databases, and data structures.
- Collaborating with cross-functional teams to identify business problems and develop data-driven solutions.
- Extracting, transforming, and loading (ETL) large and complex datasets from a variety of sources, including databases, APIs, and unstructured data sources.
- Developing and deploying machine learning models in production environments using cloud services, containers, and APIs.
- Conducting time-series analysis to model and forecast trends in data over time.
- Maintaining, troubleshooting, tracking, and constantly improving existing deployed data science models.
- Developing data pipelines, analytics, machine learning, and visualization solutions using Spark, Python and SQL on big data technologies like Databricks.
- Other duties as required.
- Position may be eligible for part-time telecommuting.
[*[Job Requirements: [[Bachelor's Degree or foreign equivalent in Data Science or a related technical field and 4 years of experience in a business intelligence or analytics occupation.
[[Experience must include: ]{calibri=""}]{new="" roman="" times=""}]{calibri=""}]{new="" roman="" times=""}]{calibri=""}**]{new="" roman="" times=""}
- 2 years of experience in a technical or analytics role (software development, data science, or similar).
- 2 years of experience developing and implementing predictive models using statistical and machine learning techniques.
- 1 year of experience in writing production-level code in Python or R.
- 1 year of experience in programming languages (Spark, Julia, or similar)
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