Publix is able to offer virtual employment for this position in the following states: FL, GA, AL, TN, SC, NC, VA
We are Publix Technology, the award-winning technical group of the largest employee-owned company in the nation, Publix Super Markets, Inc. Publix Technology associates place the highest priority on job security and customer service. This makes Publix one of the best-run, most financially secure companies in the world, as well as a leader in giving back to the communities in which we serve.
As a top grocery retail company with nearly 1,300 stores and more than 225,000 associates, you may ask: What technology-related career opportunities and benefits does Publix have to offer a technology professional such as yourself? In one word – plenty!
Publix Technology associates enjoy the ability to own Publix stock, work-from-home potential, highly competitive pay, health insurance and other benefits. Join Publix Technology — where working is a pleasure!
The Principal Software Engineer on the Supply Chain Demand team, you will:
We are Publix Technology, the award-winning technical group of the largest employee-owned company in the nation, Publix Super Markets, Inc. Publix Technology associates place the highest priority on job security and customer service. This makes Publix one of the best-run, most financially secure companies in the world, as well as a leader in giving back to the communities in which we serve.
As a top grocery retail company with nearly 1,300 stores and more than 225,000 associates, you may ask: What technology-related career opportunities and benefits does Publix have to offer a technology professional such as yourself? In one word – plenty!
Publix Technology associates enjoy the ability to own Publix stock, work-from-home potential, highly competitive pay, health insurance and other benefits. Join Publix Technology — where working is a pleasure!
The Principal Software Engineer on the Supply Chain Demand team, you will:
- Be responsible for building, deploying and maintaining large scale machine learning based forecasting systems,
- Lead designs of major modeling components, algorithms, machine learning framework, systems and features
- Partner with engineering teams to create optimal data pipeline architecture, develop effective data evaluation techniques and build optimal ML solutions using Big Data technologies,
- Need to have proficiency in data integration, ETL, data modeling and have the ability to gather design and specification requirements,
- Be proficient at detecting patterns or problems that could affect overall data and model integrity
- Need to have the ability to think through alternatives, arrive at decisions quickly and follow through with execution to resolve issues at the source
- Define Key Performance Indicators (KPIs) and measurements, monitor model drift and relevant model performance metrics,
- Be monitoring progress, manage risk and ensure key stakeholders are kept informed about progress and expected outcomes, be staying abreast of current business and industry trends
- Minimum of 3 years’ experience in programming languages like R, Python and/or Scala and building statistically sound machine learning models
- Minimum of 3 years’ experience working with cloud-based services and systems (Azure, Databricks, Apache Spark, PySpark)
Required Qualifications:
- Bachelor’s degree in Quantitative discipline (Computer Science, Statistics, Operations Research, Machine Learning, Mathematics, Econometrics etc.) or equivalent experience.
- 9+ years’ experience in analyzing business problems and translating business requirements into technology solutions that consider system performance, usability, quality, cross-system interdependencies and scalability
- 9+ years’ quantitative experience, ideally in retail consumer / online retail environment
- 9+ years of database experience (like SQL Server, Teradata, Oracle, Mongo DB, Cosmos DB etc,) and in using SQL queries and complex SQL procedures to transform and prepare the data for analytical and modeling purposes
- Understanding of the inner workings of machine learning algorithms (model settings, hyperparameter tuning etc.,) to get good model results
- Understanding of the mathematical concepts and techniques used in machine learning (linear algebra, statistics, probability theory, optimization, calculus, algorithms, etc.)
- Strong applied analytics and problem-solving skills
- Experience working with large datasets and predictive stack of modeling
- Experience or desire to work in an agile development environment
- Minimum of 3 years’ experience in programming languages like R, Python and/or Scala and building statistically sound machine learning models
- Minimum of 3 years’ experience working with cloud-based services and systems (Azure, Databricks, Apache Spark, PySpark)
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