Data Scientist Insights and Analytics

Hardware Engineering is seeking a Data Scientist to support the intersection of data engineering and business intelligence helping build the infrastructure that powers data-driven decisions while delivering analytics and insights that inform strategic direction. The ideal candidate brings a solid foundation in both data pipeline engineering and analytics with a passion for learning to architect data systems and translating outputs into clear actionable insights. Youll work closely with senior team members and leadership to support workforce planning and operations analytics growing your skills across the full data lifecycle while contributing to high-impact projects spanning infrastructure and insight.n

Youll work across the data stack helping build and maintain the infrastructure that enables insight then using that infrastructure to help answer business questions under the guidance of senior team members. Projects will span pipeline development data modeling workforce planning operational analytics and strategic initiatives across Hardware role requires collaboration within a multi-disciplined geographically distributed data science team contributing to both the engineering foundation and the analytics layer built upon it while working with business stakeholders and platform teams to support the end-to-end data lifecycle. Youll participate in business analytics projects through all phases helping define investigations exploring data conducting analysis and presenting results to business customers.

Help design build and maintain data pipelines (batch and streaming) and data warehouse models that support the analytical foundation for Hardware EngineeringnContribute to analytical frameworks and dashboards used to evaluate organizational health and support growth planningnSupport the data lifecycle from pipeline development and data modeling through to insight delivery helping ensure data quality reliability and accessibilitynHelp inform decisions across the HWE organization from workforce planning to operational efficiency through presentations visual dashboards and reportsnAssist in building forecasting models for engineering resource needs helping translate technical findings into recommendations for stakeholdersnHelp implement data models schemas and transformation logic that bridge infrastructure capabilities with business needs under guidance from senior team members

BS/BA in Computer Science Software Engineering Data Science or equivalent degreen1-3 years of experience in business analytics including surfacing insights exploring data trends and communicating findings to stakeholdersn1-3 years of experience with data pipelines data modeling or data warehousing concepts ideally in cloud-based platforms like AWS or SnowflakenWorking proficiency in Python for data analysis and pipeline tasks including familiarity with pandas NumPy and data visualization librariesnEager problem-solver comfortable working through ambiguity managing tasks and collaborating with senior team members to deliver projectsnExposure to cloud data platforms (AWS Snowflake) and/or pipeline orchestration tools (e.g. Airflow dbt) is a plus

Coursework or project experience with scikit-learn or basic forecasting/statistical modelingnFamiliarity with dbt Apache Spark or similar data transformation frameworksnExperience collaborating on team projects involving data quality or monitoringnInterest in prompt engineering or using LLMs for data analysis and automation workflowsnFamiliarity with JavaScript for data visualization (e.g. Observable) is a plus