We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses. You should be strong in core data scien
Our data platform is already built on Microsoft Fabric using a Medallion architecture (Bronze, Silver, Gold), with clean, structured data flowing across trading platforms, CRM, risk engines, payments, support, and marketing data. Maintain and improve data pipelines in Microsoft Fabric, including Dat
You are comfortable working in modern cloud data warehouses with SQL to prepare data for modeling, and can collaborate effectively with data engineers on production pipelines. You have 6+ years of experience in machine learning roles building and shipping statistical or machine learning models into
Write optimized SQL queries (Snowflake/SQL Server) for complex data extraction, transformation, and validation across the integrated data environment. Own complex SQL queries, data modeling, and analytical reporting across Snowflake and connected data warehouse environments. Intermediate-level SQL (
This role collaborates across the business to identify analytic gaps, design scalable data models, and deliver high-impact dashboards and insights. Experience building data models and transformations using. This is an ideal role for a self-starter who thrives in a fast-paced, entrepreneurial environ
This role demands a visionary leader with a proven track record in deploying AI/ML solutions at scale, strong technical expertise in machine learning algorithms, deep learning frameworks, and big data technologies, and excellent leadership, communication, and strategic thinking skills. Applicants fo
The Senior Manager of Data & Platform is responsible for leading the strategic design, integration, and operational intelligence of the organization's Business Intelligence and data platform ecosystem. This role is accountable for platform performance, adoption, and modernization, while providing in