Latest Data Analysis & Reporting Jobs

You have 6+ years of experience in machine learning roles building and shipping statistical or machine learning models into a production environment, ideally as part of product teams delivering to external customers. Senior Machine Learning Engineer, Data & Intelligence Products. In this role, you w

Maintain and improve data pipelines in Microsoft Fabric, including Data Pipelines, Dataflows, and Notebooks, to keep data flowing reliably across the business. Interest in machine learning use cases such as churn prediction, anomaly detection, and forecasting, with openness to tools such as AutoML a

Through our advanced solutions—including iAssist, Hub Lite, Therapy Initiation, and real-time connectivity tools—we streamline the patient journey by removing barriers and enabling data-driven decision-making. Lead client and partner training sessions related to data specifications and reporting

We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning mod

This critical role will lead the transformation of raw data into actionable insights, accelerate AI adoption, and support data-driven decision-making across our business. Champion the adoption of advanced analytics and AI-driven features such as Power BI Copilot, Smart Narratives, and Azure OpenAI i

As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc. Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/

Prototype and train learning-based models using a data-centric approach, applying techniques such as automated feature engineering, active learning, and fine-tuning on curated datasets; Design, develop, and maintain efficient data and feature extraction pipelines to support ML engineers in accessing