Data Scientist

Candidates MUST be local to Cincinnati. Interviews will be onsite, and they will be working a hybrid schedule in the office 2-3 day/week.Contract TO HIRE- Candidates should be eligible to work for any employer in the United States WITHOUT needing Visa sponsorshipMINIMUM QUALIFICATION/EDUCATION5+ years' experience as a Data Scientist/ML Engineer.High level of independence to develop and own toolkits, pipelines, models and dashboards.REQUIREMENTSExperience designing, building, and deploying scalable cloud-based solution architecturesExperience working with public cloud platforms such as AWS, Azure. GCPExperience in MLOps, CI/CD, TDD/BDDExtensive 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 similarFamiliarity and good understanding of infrastructure - storage, networking etc.Strong analytical problem-solving skillsExcellent written and verbal communication skillsSelf-starter takes the initiative and works well under pressureBusiness-minded approach to time, costs, and milestonesCan work well within a matrixed team environmentBONUS POINTSMicrosoft Certified: Azure Data Scientist Associate (DP-100)Experience with Azure Service Fabric, Azure Databricks, Power BI, Azure ML, Azure SynapseExperience with combinatorial optimizationExperience with GitHub FunctionsExperience with SQL Server, SSIS, ETL/ELT, NoSQL, redis, ODSExperience working with Industry Standard Data Models such as ADRM, Common Data ModelExperience in Domain Driven Design, microservices, Event Driven and Mesh AppExperience in Retail industry