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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. As a Data Scientist / Data Analyst / Data Science Specialist for Ad
Data Testing Coordinator – Regulatory Reporting & Data Validation (SQL/Python/Data Quality). Create executive-level testing status reporting. Develop and execute testing strategies for regulatory reporting initiatives.
This role involves working in Java, and working on Machine Learning pipelines for data collection or batch inference. We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team. Develop, manage, and maintain batch pipelines supporting Machine Learning workloads
Success in this role requires strong proficiency in enterprise data warehousing, along with expert-level knowledge of data modeling, data integration, visualization, best practices, and cloud-based storage solutions. Collaborate closely with Business Systems Analysts and stakeholders to translate bu
Maintain and improve data pipelines in Microsoft Fabric, including Data Pipelines, Dataflows, and Notebooks, to keep data flowing reliably across the business. Interest in machine learning use cases such as churn prediction, anomaly detection, and forecasting, with openness to tools such as AutoML a
We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks). You should
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
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 will design and ship predictive models and data products, improve the quality a