Senior Staff Data Scientist

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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About this role

Senior Staff Data Scientist Bangalore Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth. Job Overview: Our team is responsible for ensuring that AI systems deployed at scale are measurable, trustworthy, and decision‑ready. We build rigorous evaluation frameworks, analytics platforms, and KPI audits that directly influence product direction and real‑world safety outcomes. This role is primarily evaluation and analytics driven. As a Staff Data Scientist will own the definition, execution, and evolution of evaluation frameworks, metrics, and analytical methodologies used to assess AI/ML feature performance in real‑world deployments. Rather than focusing on core model development, this role emphasizes measurement rigor, error analysis, experimentation, and decision support-ensuring that metrics accurately reflect system behavior, business impact, and safety outcomes. Key Responsibilities: ​ Evaluation & Measurement Ownership - Design, implement, and maintain offline and online evaluation frameworks for AI/ML features. - Define, validate, and evolve KPIs, success metrics, and audit methodologies used across teams. - Perform deep error analysis, bias analysis, and segmentation to identify failure modes and improvement opportunities. - Own golden datasets, validation protocols, and benchmarking standards. Analytics & Insight Generation - Conduct large‑scale analytical studies to understand feature performance, data quality issues, and system behavior. - Translate complex analytical

Read the full description at www.netradyne.com. FewerJobs shows a source-linked preview and links to the original posting.