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# Data Scientist - POS Data

- **Company:** IBA InfoTech Inc.
- **Location:** Raleigh, NC, United States
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Big Data, Business Process Modeling, Databases, Data Warehousing, Python (Programming Language), SQL Databases, Google Cloud, Pandas, Scikit Learn, Google Bigquery, Data Management, Data Pipelines, Docker
- **Published:** June 14, 2026
- **Apply:** https://ibainfotech.com/data-scientist-pos-data

## About the Role

* An experienced data engineer with demonstrated success in designing & maintaining data warehouses in Google BigQuery or other "big data" technologies
 * A technology enthusiast who appreciates and understands the infrastructure their code runs on
 * A results-oriented thinker who works backward from desired outcomes to best-practices
 * A creative engineer who matches the complexity of a solution to the complexity of the problem
 * A problem-solver who can quickly understand and correct problems with data pipelines
 * An obsessive perfectionist who knows when to put down the paintbrush and ship, * Have a professional quantitative background with an education that stresses analytical thinking and quantitative methods (STEM)
 * Have several years of experience as a data engineer with demonstrated success in designing & maintaining data warehouses
 * Have a strong knowledge of Python & SQL in a data context (iterators, pandas, scikit-learn, etc.)
 * Are passionate about innovating new ways to answer novel problems
 * Are comfortable with being given the self-autonomy to work independently and experiment with new ideas and new ways to design and implement data science solutions to advance business goals
 * Have confidence in being the expert on SPINS data capabilities and best practices based on independent synthesis of a broad range of data
 * Familiarity with Docker and Google Cloud infrastructure is a plus

## Description

* Develop and maintain tools that bridge disparate data sources across the organization to serve data models, dashboards, decision aids, and business case analysis with up-to-date and accurate information.
 * Collaborate with our data scientists on engineering predictive features from our product intelligence database.
 * The prototype, implement and optimize data new pipelines and architectures that can transform our data to impactful insights.
 * Create robust daily, weekly, or monthly automated processes to deliver impactful work.
 * Create innovative and efficient techniques that better solve the problems we are working on
 * Assess risks to proposed analytics solutions based on the quality of existing data sources and actively develop QA procedures to mitigate those risks.
 * Tailor our syndicated data to retail and CPG business needs in a robust and scalable way.
 * Facilitate knowledge transfer across the business between Product Delivery and Commercial teams.
 * Recommend and implement enhancements that standardize and streamline processes, assure data quality and reliability, and reduce processing time to meet client expectations.


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