Senior Data Scientist - Insights and Analytics

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Learning budget

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Verification

Not verified last checked Jun 13, 2026

Salary

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Schedule

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Weekend work

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Application

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Deadline

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About this role

Senior Data Scientist - Insights and Analytics Austin, United States of America Hardware Engineering is seeking a Senior Data Scientist to operate at the intersection of data engineering and business intelligence - building the scalable infrastructure that powers data-driven decisions while delivering the analytics and insights that drive strategic direction. The ideal candidate brings equal expertise in data pipeline engineering and analytics, with a passion for both architecting robust data systems and translating complex outputs into compelling narratives. You'll have the autonomy to shape both the engineering foundation and analytics strategy across workforce planning and operations, working with leadership to inform high-stakes organizational decisions. This role offers the opportunity to own the full data lifecycle while building a portfolio of high-impact projects spanning infrastructure and insight. You'll operate across the full data stack - designing and building the infrastructure that enables insight, then leveraging that infrastructure to answer critical business questions. Projects will span pipeline development, data modeling, workforce planning, operational analytics, and strategic initiatives across Hardware Engineering. This role requires collaboration within a multi-disciplined, geographically distributed data science team, owning both the engineering foundation and the analytics layer built upon it, while working closely with business stakeholders and platform teams to shape the end-to-end data lifecycle.business analytics projects through all phases - defining investigations, exploring data, conducting analysis, and presenting results to business customers. Projects will span workforce planning, operational analytics, and strategic initiatives across Hardware Engineering. Design, build, and maintain scalable data pipelines (batch and streaming) and data

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