| Data Scientist at Remote, Remote, USA |
| Email: [email protected] |
|
Hi All, Job title : Data Scientist Experience : 10+ Years Job type : Hybrid Location : Any location is fine, until or unless they are ready to relocate. Onsite Interview Visa Status :USC/GC/EAD GC/H4 EAD/L2 EAD No H1b's Location: Cincinnati, OH Job Description: Kroger is on a mission to build the best instore and online grocery shopping experience, competing against the best in e-commerce. Our goal is to connect customers with the most comprehensive assortment of quality products in the most convenient ways. As part of this mission, we want to build a robust fulfillment service to assist our employees working at stores and distribution centers, satisfy customer orders in an accurate and timely manner, regardless of the ordering channel and delivery mechanisms. This includes innovations and efficiencies leveraging technologies such as robotics, artificial intelligence, machine learning, voice assist etc. Efficiencies and accuracy in fulfilling orders will allow Kroger to offer its customers competitive pricing and a great customer experience. As a Data Scientist, you will have the opportunity to support a team of mixed-skill Engineers that have a direct and meaningful impact on the Kroger Fulfillment Services Platform roadmap. You will evaluate existing machine learning (ML) processes, perform statistical analysis to resolve data set problems, and improve the accuracy of our ML models. You will assist in design & implementation of cloud-native, well-architected solutions that integrate well into the existing Kroger systems. You will also provide best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will strive to continuously improve the software delivery processes & practices and be a role model to other engineers from application teams. You will join an innovative, distributed Software Delivery team within the US's largest grocery retailer with a scale that reaches millions of people every day. Our teams are truly agile and empowered to own all aspects of their domain comprehensively. We encourage a culture of quality software practices and respect for the human spirit. We are committed to being an inclusive and transparent culture cultivating the best engineers, allowing them to define our Kroger Technology platforms' future. If this inspires you, apply and talk to our team! Requirements: Experience designing, building, and deploying scalable cloud-based solution architectures Experience working with public cloud platforms such as AWS, Azure. GCP Experience in MLOps, CI/CD, TDD/BDD Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. In-depth knowledge of mathematics, statistics, and algorithms. Knowledge of containerization and container orchestration technologies. Good understanding and/or experience writing software in one or more languages, such as Python, Java, Go, JavaScript, C++, or similar Familiarity and good understanding of infrastructure storage, networking etc. Strong analytical problem-solving skills Excellent written and verbal communication skills Self-starter takes the initiative and works well under pressure Business-minded approach to time, costs, and milestones Can work well within a matrixed team environment MINIMUM QUALIFICATION/EDUCATION 5+ years experience as a Data Scientist/ML Engineer. High level of independence to develop and own toolkits, pipelines, models and dashboards. BONUS POINTS Microsoft Certified: Azure Data Scientist Associate (DP-100) Experience with Azure Service Fabric, Azure Databricks, Power BI, Azure ML, Azure Synapse Experience with combinatorial optimization Experience with GitHub Functions Experience with SQL Server, SSIS, ETL/ELT, NoSQL, redis, ODS Experience working with Industry Standard Data Models such as ADRM, Common Data Model Experience in Domain Driven Design, microservices, Event Driven and Mesh App Experience in Retail industry Key Responsibilities: Collaborate with solution architects, data scientists & product managers to iterate on the design & implementation of Fulfillment Services Data Strategy Be a technical advisor and troubleshoot to resolve technical challenges with data product related infrastructure and application(s) Design and develop machine learning and deep learning systems Run machine learning tests and experiments Implement appropriate ML algorithms Transform data science prototypes and apply appropriate ML algorithms and tools Document machine learning process Create data pipelines for various types of streaming use cases Focus on overall products data quality and user experience Build standards, processes and procedures to deliver best results Manage individual project priorities, deadlines, and deliverables Assist the scrum master in creating technical stories/spikes Adapt quickly to changing technology and business requirements Stay up to date on emerging technologies across Kroger and the industry -- Thanks & Regards Srivalli. GUS IT Recruiter Email: [email protected] Direct: +1 8323070476, EXT-140 www.linkedin.com/in/srivalli-gutti-3a68aa263 Keywords: cplusplus continuous integration continuous deployment machine learning business intelligence information technology golang green card Ohio Data Scientist [email protected] |
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| 12:48 AM 26-Nov-24 |