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Data Scientist Level 2

Salary undisclosed

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Role: Data Scientist Level 2

Location: Cincinnati, OH (office 3 days/week)- In person interview.

Duration: 12 Months+

Job Description:

  • Experience designing, building, and deploying scalable cloud-based solution architectures
  • Experience working with public cloud platforms such as AWS, Azure. Google Cloud Platform
  • 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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