Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate bu
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
Developing reports and analytics using data from data warehouse and Salesforce using Excel, SQL, Tableau, and other reporting/analytics tools. Applying statistical analysis to identify patterns and relationships in the data. The Data Insight Analyst is responsible for acquiring, managing and analyzi
Role: Data Scientist – Machine Learning Focus. 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, r
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. You are comfortable working in modern cloud data warehouses with SQL to prepare dat
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
Candidates should have 6+ years of experience in data engineering, ETL, and advanced SQL. Optum is seeking a Sr Data Engineer in Eden Prairie, Minnesota, to develop and optimize healthcare data applications. The role emphasizes scalable ETL development and workflow optimization while allowing for re
Synthesize data from multiple sources (LMS/LXP analytics, stakeholder feedback, business performance indicators) to generate insights and continuously evolve the learning strategy. Proactively engage stakeholders to surface emerging capability needs, influence learning investment decisions, and ensu