Data Scientist
Job Title: Data Scientist (W2 only)
Location: Irving, TX – Onsite – 5 days
Duration: 12 months
• Need someone with lots of Data experience and old school statistical BG.
• Looking for someone who has worked on Customer Data
• Personalization is nice to have
• Tools - Databricks used internally, AWS/Azure
• Experience in building Machine Learning models
• Databricks experience is preferred
• Azure - 2 years
• Overall - minimum 2 years of experience
About the job:
You’ll be joining a multidisciplinary team of scientists, researchers, designers and engineers who research and innovate on latest technology to create awesome digital 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 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 take many hats to see projects to completion.
Key Responsibilities:
• Research, prototype, and develop software solutions to solve problems across retail
• 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:
• 2+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc.
• 2+ years of experience training, evaluating and deploying Machine Learning models.
• 2+ years of experience with productionizing and deploying ML workloads in AWS/Azure.
• 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 AWS Sagemaker and/or Databricks AI/ML platform.
• Experience building ML models with large amounts of structured and unstructured data.
Job Title: Data Scientist (W2 only)
Location: Irving, TX – Onsite – 5 days
Duration: 12 months
• Need someone with lots of Data experience and old school statistical BG.
• Looking for someone who has worked on Customer Data
• Personalization is nice to have
• Tools - Databricks used internally, AWS/Azure
• Experience in building Machine Learning models
• Databricks experience is preferred
• Azure - 2 years
• Overall - minimum 2 years of experience
About the job:
You’ll be joining a multidisciplinary team of scientists, researchers, designers and engineers who research and innovate on latest technology to create awesome digital 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 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 take many hats to see projects to completion.
Key Responsibilities:
• Research, prototype, and develop software solutions to solve problems across retail
• 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:
• 2+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc.
• 2+ years of experience training, evaluating and deploying Machine Learning models.
• 2+ years of experience with productionizing and deploying ML workloads in AWS/Azure.
• 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 AWS Sagemaker and/or Databricks AI/ML platform.
• Experience building ML models with large amounts of structured and unstructured data.
