Business Analyst III

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Business Analyst III

By / September 29, 2026

• Location: Burlingame, California
• Type: Contract
• Job #107315

Title: Algorithm Developer IV

Location: Burlingame, CA (Hybrid)

Schedule: Full-Time, 40 hours/week

Work Arrangement: Onsite 3 days per week

Contract: 12-Month Contract

Extension: Potential for extension based on business needs and performance

Compensation: $60.68/hr W2

About the Role

We are seeking an experienced Algorithm Developer to design, develop, and optimize advanced machine learning and signal processing algorithms. This role is ideal for someone who enjoys solving complex technical challenges, working with large datasets, and building scalable software solutions that drive meaningful outcomes.

Key Responsibilities

• Design, develop, and test machine learning and signal processing algorithms
• Build statistical models for classification and prediction
• Improve algorithm accuracy, efficiency, and software performance
• Troubleshoot and resolve complex software issues
• Translate business and customer requirements into technical solutions
• Develop data visualization and user interface components for large datasets
• Work independently while managing multiple technical initiatives

Education & Experience Required

• Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field preferred
• Strong experience developing and implementing algorithms
• Experience building machine learning models and solutions
• Experience working with large-scale data and analytical systems

Required Skills & Qualifications

• Algorithm Development
• Machine Learning
• Statistical Modeling
• Signal Processing
• Object-Oriented Programming
• C++
• C#
• Machine Learning Frameworks and Toolkits
• Software Performance Optimization
• Problem Solving and Troubleshooting
• Ability to work independently

Preferred Skills & Qualifications

• Big Data Visualization
• UI Design and Development
• Research-focused algorithm development experience
• Experience building classification and predictive models
• Experience working in highly technical or research-driven environments

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