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
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
Lead client and partner training sessions related to data specifications and reporting tools. This is an ideal role for a self-starter who thrives in a fast-paced, entrepreneurial environment and enjoys building data solutions that drive meaningful business outcomes. Experience building data models
Provide subject matter expertise in data modeling, ETL architecture, semantic layer design, and analytics lifecycle best practices to shape and transform data from D365 F&O and Azure Data Lake into optimized structures for enterprise analytics. Monitor and improve operational KPIs for reporting upti
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
Prior experience supporting AI, machine learning, or data science projects through BI initiatives. Experience cleaning, preparing, and validating large datasets for analytics or AI training purposes. Prepare, clean, and validate large datasets to ensure data accuracy and integrity for AI systems.
As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc. Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction. Role: Data Scientist – Mach
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
Developing reports and analytics using data from data warehouse and Salesforce using Excel, SQL, Tableau, and other reporting/analytics tools. Writes clearly and informatively; Edits work for spelling and grammar; Varies writing style to meet needs; Presents numerical data effectively; Able to read