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Data Analyst - Remote
computer science, statistics, public health, or a related field 2+ years of work experience, preferably in the healthcare or government data sector Strong skills in SQL and experience with large, complex datasets Working knowledge of SAS, R, Stata, Python..., or SQL for data manipulation Ability to spot patterns, inconsistencies, or data issues
Machine Learning Engineer - Remote
enhance recommendation systems Improve engineering practices to optimize model performance, latency, and cost efficiency Required Qualifications 5+ years of experience in building high-throughput, resilient backend systems 5+ years of advanced Python...development experience, including data manipulation with Spark and SQL Solid foundation in machine learning, with experience in evaluating recommender systems Familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow) and model deployment frameworks
Data Scientist - Remote
modeling Build, train, and evaluate custom machine learning models for security use-cases Required Qualifications Master's degree in computer science/engineering 4-5 years of experience in data science or a related field Strong proficiency in Python...programming language Experience with data analysis and visualization tools (e.g., Pandas/Polars, NumPy, Matplotlib, Seaborn) Knowledge of machine learning algorithms and techniques
BIA Developer - Remote
experience Minimum 5 years of hands-on experience in data integration, reporting, and/or process automation Strong proficiency in SQL and experience with MS SQL Server Experience with Power BI and familiarity with Microsoft Fabric Ability to develop Python...scripts for API-based data integration and automation
AI Developer - Remote
infrastructure for product-facing applications Required Qualifications 5+ years in data science, ML/AI development, or a related field with a proven track record Hands-on experience with developing, deploying, and maintaining ML infrastructure Excellence in Python...programming and experience with data science and AI/ML packages Practical experience with cloud services such as AWS, Azure, or Google Cloud Strong passion for innovation and creative application of AI and ML in Company solutions
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