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 sponsorship

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.

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

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