Keep abreast of the latest advancements in data analytics technologies (Microsoft based and others) and industry trends, continuously enhancing your expertise and applying best practices in solution design and implementation. Optimize data models to support efficient data storage, retrieval, and ana
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. The ideal candidate will have strong applied experience building, deploying, and scaling forecasting solutions in production environments, particularly within. Perform large-scale
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. This role will focus on analyzing complex manufacturing and sensor data to drive measurable improveme
You'll join a small, fast-moving team where your decisions shape the direction of our data and research capabilities. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Collaborate with ML researchers to anticipate
Proven proficiency in quantitative analysis, visualization, and modeling using statistical packages for analyzing large datasets (Advanced in Excel, Tableau, SPSS, SAS, QlikView or PowerBI, etc. Cloud data platforms, Azure (Microsoft Fabric and Synapse Analytics), Databricks, Snowflake, and the data
The senior statistical programmer will gather and interpret user requirements for programming requests, retrieve required data, transform data into analysis/modeling datasets, and develop tables, listings and figures according to statistical/modeling analysis plan. Effective knowledge and experience
Knowledge and understanding of data platform architecture (data warehouses, lakes, ETL/ELT pipelines, reverse ETL), data modeling, and analytics software. Understand the data needs of different audiences and where that falls in priority - internal stakeholders, leadership, and various tiers of clien