Affinaquest

Data Scientist

• Affinaquest seeks a data scientist to join our Product Engineering team. In this role, you'll work on our Client Data Platform (CDP) and analytics platform, applying machine learning and software engineering practices to empower institutions in fundraising and athletic operations.
• Affinaquest analyzes client data to uncover actionable insights that drive our clients’ missions forward. You'll work with Azure Machine Learning, Snowflake, dbt, Python, and Airflow to enhance our data stack and evolve our machine learning outputs from our current supervised learning models and predictive analytics to emerging unsupervised and prescriptive analytics.
• Affinaquest is looking for someone with a strong software engineering background, fluent in modern tooling and open frameworks, who will collaborate with Product Engineering peers and client innovation partners to shape our platform’s evolution and deliver value to clients.
• A passion for technical curiosity for uncovering hidden metrics, fresh statistical insights, and untapped value within data.
• In this role, you'll have a heavy hand in the architecture, processes, and tools behind machine learning and data analytics initiatives, delivering predictive models and backend data discovery processes that pave the way for future modeling.
• Working closely with Product Leaders and Data Engineers, you'll ensure your models offer accurate, actionable insights, while actively participating in Scrum ceremonies to refine user stories and acceptance criteria.
• KEY RELATIONSHIPS Reports to: Sr Manager of Product Engineering Other key relationships: Product Leaders and the Product Delivery Team

Support Engineer

• Provides thoughtful and insightful customer service through organization, urgency, and product knowledge.
• Answers business and technical inquiries, diagnoses reported problems, recommends possible solutions, and follows issues through to resolution or escalation.
• Identifies root-cause deficiencies and is able to present preventative measures.
• Specific client support responsibilities may include, but are not limited to, the following:
• Diagnoses reported issues with a best practice recommended solution and/or follows through with the proper escalation if unable to resolve
• Supports application break/fix incidents and patches existing issues.
• Quickly identify when issues are more complex and gather appropriate information to escalate to internal development resources
• Identify learning opportunities based on support topics to craft articles and videos for knowledge center
• Accurately capture case notes, document activities and manage cases in a clear, concise and actionable manner
• Experience in a facility with the following platforms: ScreenSteps, Zendesk, and Salesforce to ensure documentation can be constructed and published to our user community.
• Maintain knowledge of the Salesforce Release Cycle, current functionality and support the Product Management team to ensure staff get the proper training and knowledge share on Salesforce Administration.
• Proactively anticipate client issues, concerns, and prepares solutions before they become urgent.

Data Scientist

Technical Support Engineer