Position Title: Data Scientists (Senior, Mid and Junior) - Only W2 candidates Duration:12 Months Contract work with huge possible extension Work Location: Hybrid in Irving, TX (3-5 days) Job Description: 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 & Scientists at client 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 client take many hats to see projects to completion. Key Responsibilities: • Research, prototype, and develop AI solutions to build personalized systems. • Build, deploy and analyze AI solutions and perform statistical experiments when deploying new AI products. • 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 with SQL, PySpark and Python. • 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 Databricks platform. • Experience building ML models with large amounts of structured and unstructured data. Level Skills Senior • SQL • PySpark • Databricks • Customer Data Segmentation • Statistical Analysis Mid-level • Experimentation analytics experience - A/B testing • Power Analysis • Homogeneity testing • Statistical analytics • Databricks experience is a plus Junior to Mid-level • Statistical Data Science • SQL • PySpark • Databricks is a plus • Customer Data & Recommendations systems is a plus • Customer Segmentation is a plus