• Take ownership for the design, implementation, and support of AI-enabled products • Design, prototype, develop, and field predictive models and analytical approaches • Dive into data to discover hidden patterns and conduct error/deviation analysis • Ensure data quality throughout all stages of acquisition and processing • Visualize, analyze, and build predictive models with the data • Consult with and assist internal and external stakeholders to consume the results of AI-enabled models

• Help to evolve the enterprise people analytics agenda across key domains • Contribute to high-stakes, enterprise-wide projects • Design and mature self-serve people data products • Own Data Warehousing and Data Architecture design decisions • Bring analytical rigor to enterprise People programs by defining success metrics • Apply and interpret advanced methods where needed • Serve as a partner to HRBPs, People leaders, and analysts on data literacy • Champion data governance, privacy, and role-based access • Contribute to PAR’s roadmap, operating model, and culture

Role Description We're transforming the grocery industry. At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We’re hiring a Senior People Data Scientist (L5) to serve as an enterprise-wide people analytics thought partner—blending data engineering, analytics, consulting, and data product ownership. You will own complex, multi-quarter analytical workstreams, shape company-level people metrics, and help leaders at all levels use data to make better, more equitable decisions about our workforce. This is a high-visibility IC role with significant exposure to senior HR and business leaders, ideal for someone who is equally comfortable in Snowflake, extracting insights from employee data, executive-level storytelling, and in shaping how HR and business leaders across Instacart use data at scale. Qualifications - 5+ years of experience in analytics, data science, business intelligence, or a closely related field, with at least 2–3+ years in People Analytics / HR data (HCM, recruiting, comp, retention, DEI, engagement, or workforce planning). - Bachelor’s degree in a quantitative or relevant field (e.g., Statistics, Economics, Data Science, Industrial/Organizational Psychology, Computer Science) or equivalent practical experience. Requirements - Experience designing and maintaining executive-facing dashboards and data products in a BI tool (e.g., OneModel, Tableau, Looker), including metric design, documentation, and stakeholder enablement/training. - Advanced proficiency in SQL and experience with a modern cloud data warehouse such as Snowflake, including working with large, complex datasets, performance-tuned queries, building data pipelines, and developing analytics-ready models. - Demonstrated ability to translate complex analytical findings into clear stories and actionable insights for HR/business leaders, including writing talking points and delivering live presentations. - Demonstrated expertise in multivariate analysis, including the design and interpretation of regression models, comparison testing, and natural language processing techniques applied to large-scale text data. - Strong foundation in research methodology and psychometrics, with the ability to design, validate, and interpret survey instruments and other qualitative measures with rigor. - Experience handling sensitive HR data with strong judgment around privacy, security, and role-based access controls. Benefits - Highly market-competitive compensation and benefits in each location where our employees work. - Remote work flexibility with a base pay range dependent on permanent work location. - Eligibility for a new hire equity grant as well as annual refresh grants. Company Description Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team, allowing employees to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.

• Develop and deploy Natural Language Processing (NLP) models to extract insights from unstructured textual data. • Collaborate with cross-functional teams to identify opportunities and develop strategies for applying NLP techniques to enhance quality analytics. • Design and implement data pre-processing and feature engineering techniques for NLP tasks. • Utilize supervised and unsupervised machine learning techniques to solve complex NLP problems. • Evaluate and fine-tune models for performance optimization, accuracy, and efficiency. • Contribute maintainable code to existing and new pipelines. • Stay up-to-date with the latest advancements in NLP and contribute to the continuous improvement of methodologies and algorithms. • Communicate findings, insights, and recommendations to stakeholders in a clear and concise manner.