Project Analyst

Accountabilities: As a Project Analyst, you will coordinate data analysis and AI model training activities, ensuring that workflows are efficient, well-documented, and aligned with project objectives. Your key responsibilities will include:

• Collect, clean, process, and analyze large datasets to support AI model training and validation.

• Initiate, configure, and monitor AI model training pipelines to ensure smooth execution.

• Collaborate with data scientists, machine learning engineers, and project stakeholders to define and refine training objectives.

• Coordinate project timelines, resources, milestones, and deliverables for AI model training workflows.

• Evaluate model performance metrics, prepare comprehensive reports, and recommend strategies for improvement.

• Maintain accurate data documentation, training logs, and compliance records.

• Identify opportunities to automate data preprocessing and model training processes to improve efficiency and reliability.

• Monitor project progress, identify potential issues, and support the timely delivery of high-quality outputs.

Requirements:

The ideal candidate combines a strong technical foundation in data analysis with project coordination capabilities and an interest in AI-driven initiatives. Candidates should meet the following requirements:

• Bachelor's or master's degree in Computer Science, Data Science, Information Technology, Engineering, or a related technical discipline.

• At least 2 years of experience in data analysis, analytics, or analytics project management.

• Understanding of AI model evaluation techniques and data pipeline orchestration.

• Strong analytical and problem-solving skills, with the ability to interpret data and derive actionable insights.

• Good organizational skills and the ability to manage multiple tasks, timelines, and deliverables.

• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

• Attention to detail and a commitment to maintaining accurate documentation and high-quality outputs.

Benefits:

• Remote work: Work remotely in a flexible, location-independent environment.

• Full-time employment: Take on a full-time role supporting AI model training and data analytics initiatives.

• Cross-functional collaboration: Work alongside data scientists, machine learning engineers, and project teams.

• Professional development: Build experience in AI model training, data pipeline management, performance evaluation, and project coordination.

• Process improvement: Contribute ideas and automation initiatives that enhance efficiency and the quality of AI workflows.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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