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The Judge Group - Cincinnati, OH

posted about 1 month ago

Full-time - Mid Level
Cincinnati, OH
Administrative and Support Services

About the position

As a Data Scientist Level 2, you will support a team of engineers in enhancing the Fulfillment Services' Platform roadmap. Your role involves evaluating and improving machine learning processes, performing statistical analyses, and designing cloud-native solutions. You will also provide best practices for secure cloud implementations and strive to improve software delivery processes within a culture that values quality and inclusivity.

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 product's 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 industry

Requirements

  • 5+ years' experience as a Data Scientist/ML Engineer
  • 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

Nice-to-haves

  • 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 and 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
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