An employer is seeking a Data Scientist in the Cincinnati area for a hybrid role. As an Data Scientist, you will have the opportunity to support a team of mixed-skill Engineers that have a direct and meaningful impact on the 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 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.
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
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com.
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5+ years experience as a Data Scientist/ML Engineer.
High level of independence to develop and own toolkits, pipelines, models and dashboards.
Experience working with public cloud platforms such as AWS, Azure. GCP
Experience in MLOps, CI/CD, TDD/BDD
Good understanding and/or experience writing software in one or more languages, such as Python, Java, Go, JavaScript, C++, or similar
· 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
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.