Latest Data Analysis & Reporting Jobs

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

Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. Role: Data Scientist – Machine Learning Focus. Extract, load and

Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes. This role involves working in Java, and working on Machine Learning pipelines for data collection or batch inference.

Proven experience in developing Big Data solutions in Hadoop Ecosystem using Apache NiFi, Kafka, Flume, Sqoop, Apache Atlas, Hive, HDFS, HBase and Spark (Hortonworks HDP and HDF preferred). Polyglot development (4-5 years+): Capable of developing in Java and Scala with good understanding of function

You will design and ship predictive models and data products, improve the quality and interpretability of existing models, and deliver high-confidence, repeatable intelligence that fuels our MedTech-specific modules. You have 6+ years of experience in machine learning roles building and shipping sta

Task Examples Develop training material to include interactive webinars, infographics, Word documents with examples, and example success stories Provide 1:1 technical assistance related to success stories to recipients Review Annual Performance Reports and other administrative data to glean narra

United States, Georgia, Atlanta.

Develop a data governance framework, with a focus on improvement and sustainment of data quality through organizational and departmental behavior policies and standards, principles, governance metrics, processes, related tools and data architecture. Facilitate the development and implementation of d