Data Scientist

Job Title: Senior Data Scientist AI COE

Location: Irving, TX (On-site)

About the job:

You ll be joining a multidisciplinary team of scientists, researchers and engineers who research and innovate on latest technology to create awesome data and AI products that millions of people will experience every day.

You will be responsible for building and deploying AI/ML solutions that improve customer experience, enable innovative user experiences, and increase store revenue. Engineers at 7Next have solid technical background but enjoy learning new languages, technologies, and frameworks. From creating an experimental machine learning prototype to deploying a production-ready backend, engineers at 7-Eleven take many hats to see projects to completion.

Key Responsibilities:

• Research, prototype, and develop AI/ML solutions to build personalized systems.
• Build, deploy and analyze AI/ML solutions and perform statistical experiments when deploying new AI products.
• Analyze and segment customer data and clearly visualize customer behavior to make product decisions.
• Stay up to date with emerging technology and learn new technologies/libraries/frameworks
• Learn and partner with peers across multiple disciplines, such as data, product, and systems design
• Deliver on time with a high bar on quality of research, innovation and engineering

Basic Qualifications:

• 4+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc.
• 4+ years of experience with SQL, PySpark and Python.
• 4+ years of experience training, evaluating and deploying Machine Learning models.
• 4+ years of experience with productionizing and deploying ML workloads in AWS/Azure.
• 1+ years leading and mentoring Data Scientists and delegating tasks to deliver complex tasks.
• Familiarity with containerized application tooling and deployments (Docker/Kubernetes)
• Bachelor s Degree or higher in Computer Science/Engineering/Math, or relevant experience

Extra Credit:

• Experience with Databricks platform.
• Experience building ML models with large amounts of structured and unstructured data.