Data Scientists extract insights from data to drive business decisions — using statistics, machine learning, and visualization. The role has evolved from pure analytics to include ML model building, experimentation design, and increasingly, LLM application development.
TalentProof
TalentProof
TalentProof
TalentProof
As a Quality Assurance Engineer at TalentProof, you will play a crucial role in ensuring the delivery of high-quality software products. You will be responsible for designing, developing, and executing comprehensive test strategies to identify and resolve defects, contributing significantly to the overall reliability and user experience of our platforms. This role requires a keen eye for detail and a passion for upholding software quality standards.
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TalentProof
TalentProof
TalentProof
As a Junior Quality Assurance Engineer at TalentProof, you will play a crucial role in ensuring the quality and reliability of our software products. You will work closely with development teams to identify, reproduce, and document defects, contributing to a seamless user experience.
Required Skills & Experience:
Preferred Qualifications:
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Yes, though the role has evolved. Pure analytics roles are being augmented by AI tools, but Data Scientists who can build ML models, design experiments, and communicate insights remain highly valued. The intersection of data science and LLM applications is the fastest-growing niche.
Data Analysts focus on SQL, dashboards, and descriptive analytics. Data Scientists additionally build predictive models, run experiments (A/B testing), and use ML. DS roles typically require Python and statistics; DA roles emphasize SQL and visualization tools.
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