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Build and scale analytical data products for investment teams at iA Global Asset Management, working end-to-end from data ingestion through visualization using Python, dbt, GCP/BigQuery, Power BI, and Streamlit.
Leads development of a government-focused Investment Data Warehouse (IDW) platform integrating AI/ML, GenBI, and agentic workflows on AWS/Snowflake, designing dashboards, optimizing pipelines, and guiding cross-functional teams.
Build and own Snowflake’s distributed billing platform, metering AI product usage and shaping pricing models while collaborating with finance, product, and AI teams.
Leads data analytics, ETL pipelines, and AI/ML solutions (including LLMs) for healthcare data, focusing on clinical research, predictive modeling, and stakeholder-facing dashboards to improve patient outcomes and care workflows.
This role involves leading data analytics strategies in a healthcare setting, including building automated pipelines and deploying agentic AI systems. The candidate will analyze large datasets and collaborate with clinical teams to support research and quality improvement initiatives.
Sr. Data Analyst/Risk Adjustment - US Remote Remote - United States Full-time regular b The Risk Adjustment Sr Data Analyst is an experienced analyst possessing a deep understanding of the Risk Adjustment business…
Position: Machine Learning Engineer Location: Basking Ridge, NJ Hybrid Duration: Long Term contract. Client: Largest Direct Telecom Client What were looking for... Responsibilities: Develop, implement and distribute…
Role - GCP Data Engineer (Visualization experience) As a Data Engineer you will work on process of transforming raw data to a usable format, which is then further analyzed by other teams. Cleansing, organizing, and…
About Us We are an elite, research-backed AI infrastructure startup building the defining workflow intelligence and policy management layer for enterprise multi-agent applications. While the market has flooded with…
About the Role: We have an existing commercial SaaS platform that consists of 3 components: a web application, several 3rd party databases integrated into our backend, and a Natural Language Processing, supervised ML…
Build and maintain HR data pipelines, automate reports, and support AI-driven HR analytics in a private banking HR team.
Designs and builds AI-powered automations and agent workflows for ad-tech teams, integrating Salesforce, Snowflake, Slack, and other platforms using LangGraph, n8n, and OpenAI tooling.
Company RENAULT s.a.s. Job Description Contexte et environnement de travail : Renault poursuit son engagement envers les jeunes au travers de la formation par l’alternance et les stages. Cette politique volontariste…
Job Description: Employer: DWS Group Title: Senior Data Engineer - Snowflake Location: Madrid Job Code: placeholder for LinkedIn job wrapping About DWS: Today, markets face a whole new set of pressures – but also a…
The Senior Data Engineer plays a critical role in the successful execution of Allied’s Data Strategy. This role will be focused on data acquisition, curation, and transformation of data into a useable asset. They will…
Introduction to role: Are you ready to turn multimodal clinical and molecular data into decisions that change how patients with blood cancers are treated? Based in Cambridge, MA, this role sits at the heart of our…
Infor is hiring a Senior Director, AI Engineering & Platform to own the platform and the engineering practice that bring Infor’s internal AI to production. This is an accountable executive role for a leader with…
Build and own the data pipeline for a hedge-fund’s Industrials portfolio, cleaning and transforming market data, automating ETL/ELT, and enabling analysts with Python, SQL, and AWS.
At MedScout, our mission is to empower MedTech commercial teams with the data, insights, and tools they need to deliver life-changing medical innovations to the patients who need them most. We’re creating a…
Build and ship computer-vision models: train, evaluate, wrap in services, and demo via simple web UIs. Core stack: Python, PyTorch, OpenCV, FastAPI/Flask, Docker.
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