Top Data & Analytics Jobs in Albuquerque, NM
As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, work collaboratively with engineers, engage with clients, and mentor project teams, focusing on practical AI solutions for clients.
The GRC Analyst will be responsible for implementing and maintaining the Information Security Management System (ISMS), ensuring compliance with security standards like ISO 27001 and GDPR, leading audits, managing information security policies, and coordinating responses for vendor security assessments.
The Revenue Operations Analyst will manage day-to-day CRM operations and support the sales and customer success teams. Responsibilities include ensuring smooth sales-to-customer success handoffs, maintaining data accuracy, managing operational support tickets, contributing to sales projects, collaborating on customer success initiatives, and optimizing processes through documentation and team training.
The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on data needs for AI/ML models. Responsibilities include setting data infrastructure strategy, implementing data transformation processes, ensuring data quality, building data structures, and collaborating with cross-functional teams.
The AI/ML Data Analyst will develop mathematical models and algorithms for the AI/ML initiative, analyze data models, review algorithms for performance, and troubleshoot field issues. They will also serve as a subject matter expert on AI tools and techniques, ensuring all business activities align with company policies.
As a Data Developer, you will be responsible for developing and maintaining SQL and .Net code for data extraction and loading. You will analyze existing data structures, develop data migration processes, and ensure SQL processes are stable and secure. Bachelor's degree in computer science and 2+ years of experience with programming, relational database management systems, C#, SQL, XML, and ETL tools are required.
The Principal Data Engineer at Hypergiant will develop and improve a data service for cloud-based applications, support data modeling, collaborate throughout the software development lifecycle, ensure high-quality code and data reliability, and lead technical initiatives while fostering a culture of continuous improvement.
As a Project Analyst in M&A/Technical Diligence, you will support project management functions, maintain tools, track action items, and facilitate document management. You will collaborate with senior team members, provide feedback on software platform design, and help establish standards for project quality and speed in renewable energy development.
As an Applied Data Scientist, Analytics Engineer, you will execute client engagements, focusing on data modeling, building predictive models, and deriving insights from analyses. You will collaborate with cross-functional teams to create scalable solutions and maintain proficiency in statistical techniques and programming languages. This role involves working with large datasets and requires strong communication skills.
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As a Senior Data Scientist for JD Power, you'll lead complex data science projects, focusing on feature engineering and model building. You will leverage advanced AI/ML techniques and tools like SQL, Python, and AWS SageMaker to extract insights and impact products in the automotive industry. Your role will also involve collaborating with teams to develop analytics for new products and creating visual reports for clients.
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