SQL AI Jobs

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The Support Data Scientist will explore large support and product datasets to uncover trends, volume drivers, and user-experience pain points, distilling findings into clear, actionable narratives. They will build, enhance, and maintain self-serve dashboards and reporting tools for non-technical teams. The role involves establishing a unified metrics taxonomy for service-health and performance, and building automated data-sharing pipelines and scorecards with BPO partners. They will leverage LLMs to build bespoke classifiers to automatically label and segment inbound volumes, partner with Data Engineering to ensure reliable pipelines and data quality, and document sources of truth. The role also includes conducting deep-dive analyses and delivering strategic recommendations to leadership, prototyping rapidly with tools like ChatGPT and Jupyter notebooks, and collaborating with Data Science on predictive models and experimentation to translate results into operational recommendations.

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Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help customers achieve success. Scope and co-develop production-level data science projects with customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.

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As a Forward Deployed Software Engineer at Northslope, you will be responsible for helping customers solve their most valuable problems by working closely with stakeholders to conceive, architect, build, and maintain applications that have a measurable impact on their business. You will understand customers' most critical objectives and build operationalized workflows on their enterprise data that end users actually use to make change within the business. Your role involves iterating quickly, building from scratch, and helping organizations transform their operations at an uncommon speed. You will not only ship code but also help reshape how entire organizations work by putting powerful tools in the hands of executives and real operators.

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Design and evolve safety policies for audio AI, image/video AI and agentic safety aligned with ISO42001, EU AI Act, DSA, US state laws, and global regulatory developments. Build scalable, AI-powered systems and workflows that dramatically reduce response times and increase policy coverage. Partner with Safety Engineers to translate policy requirements into automated detection, moderation, and enforcement systems. Drive cross-functional safety integration with product, engineering, legal, and operations teams to ensure safety is embedded into the development lifecycle. Respond to safety policy escalations by partnering with moderation and investigations teams to triage, investigate, and resolve complex incidents, ensuring decisive and transparent action when user or platform integrity is at risk.

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Perform ad-hoc and strategic analyses to uncover opportunities for improved business outcomes and translate complex questions into actionable analytics projects. Design and maintain scalable data models and dashboards that increase visibility into core systems and drive operational excellence. Build and iterate on machine learning prototypes to power insight-driven products and unlock new sources of customer and business value. Define and track OKRs that quantify progress toward key business goals, ensuring alignment and accountability across teams. Design and analyze experiments to guide product decisions and optimize feature launches. Champion a data-first culture by promoting analytical rigor and evidence-based decision-making across the organization.

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Build and maintain resilient ETL pipelines to centralize data from core HCM and ATS systems into Google Cloud Platform, Big Query, and other people analytics products. Architect a semantic data layer using dbt to translate raw database schemas into business-friendly logic, enabling non-technical leaders to ask natural language questions and get accurate answers. Leverage AI and LLMs to extract insights from unstructured data and build predictive models for attrition and headcount planning. Design data products that solve operational problems by automating HR workflows, building custom apps for internal mobility, or redesigning organizational structure. Partner with Talent, Finance, and People leaders to translate business questions into data inquiries and consult on analytics possibilities. Design and deploy Sigma workbooks to guide executives through complex narratives to ensure data-driven action.

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Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help customers achieve success. Scope and co-develop production-level data science projects with customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.

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Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help our customers achieve success. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.

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Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help our customers achieve success. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.

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The Software Engineer is responsible for utilizing the Agent Development Kit (ADK) to design, develop, and deploy autonomous agents and "skills" capable of multi-step data retrieval tasks. They design and develop backend systems and APIs to expose bioinformatics data and implement advanced search and retrieval mechanisms to provide LLMs with up-to-date grounded information. Their duties include tuning storage technologies, creating high-performance query plans, designing solutions, and adapting existing approaches to solve issues within web app architecture and interfaces. They operationalize production-grade data pipelines using processing engines like Apache Beam, collaborate with other engineers to address document extraction, enrichment, and retrieval challenges, and model scientific experiments from unstructured data. The engineer also troubleshoots and resolves production issues promptly, ensures code is testable, self-documenting, and reliable, communicates decisions to impacted teams, works on client-facing projects with large pharmaceutical companies, and balances independent work with collaborative efforts for complex architectural changes.