Search the 8 jobs at Blue Orange Digital

The Account Executive I role at Blue Orange Digital involves training under the Founder & CEO, participating in lead generation, managing business development tasks, supporting events, and engaging with clients. Responsibilities include research, sales cycle management, and developing strategies for revenue growth while collaborating with internal teams.

The Data Scientist will design, build, and deploy advanced machine learning models, analyze complex datasets, implement GCP-native solutions, and ensure the quality of ML models through rigorous testing. The role involves collaborating with stakeholders and applying machine learning techniques to drive business outcomes.

As a Data Engineer at Blue Orange Digital, you'll build and support enterprise data platforms and systems using modern data technologies and orchestration tools such as Databricks and Spark. You'll automate cloud-based operations and develop pipelines while applying best practices in CI/CD and infrastructure management.

The Senior Solutions Architect will engage with clients to identify challenges and develop technical solutions, lead assessments for Data & AI initiatives, and architect solutions using Databricks on cloud platforms. The role also involves collaboration with sales and engineering teams to ensure alignment with client objectives.

The Data Analyst will develop and maintain Power BI reports and dashboards, optimize performance, troubleshoot issues, and collaborate with Agile teams. Responsibilities include utilizing advanced Power BI features and embedding reports into applications.

The Data Engineer will develop high-performance data pipelines using Databricks, Spark, and Python. Responsibilities include designing and deploying data platforms in cloud environments like Azure and AWS, automating operations, and supporting various technologies while following best practices for software development and continuous integration.

As a Data Engineer at Blue Orange Digital, you will build high-performance data pipelines using tools like Databricks and Spark, design and deploy data platforms in cloud environments, and automate operations with tools such as Azure DevOps and Terraform, while collaborating with engineering teams on architecture and infrastructure best practices.

The Senior Data Scientist will lead financial modeling and projections, perform transaction-level data processing, work on data ingestion and transformation, apply software development best practices, and develop automated processes and custom tools in a collaborative environment.