Data Scientist, Developer Efficiency

Job Overview

The Development Efficiency Data Science team within PDX is responsible for ensuring that Intuit’s Development Efficiency metric is analytically correct, interpretable, and trusted as it becomes a core input to FY26 execution, planning, and finance conversations.

We are seeking a Staff DS to lead Development Efficiency Data Science. This role owns the analytical strategy, measurement framework, and interpretation standards for Development Efficiency across the Product Development Lifecycle. The role is explicitly focused on measurement science and decision support, not on building developer platforms, enforcing tooling, or operating systems.

This leader will manage a team of senior data scientists and partner closely with Finance, PDX leadership, and senior stakeholders to translate complex analytical outputs into clear, defensible narratives that inform planning, prioritization, and investment decisions.

Own the end-to-end analytical approach for Development Efficiency, including metric definition, modeling strategy, and ongoing evolution.

• Baseline selection and recalibration
• Time normalization and seasonality adjustments
• Concurrency and throughput modeling
• Interpretation of observed efficiency changes

Ensure Development Efficiency metrics are internally consistent, analytically defensible, and appropriate for executive and Finance use.

Partner with Finance, PDX leaders, and IG stakeholders to align on how Development Efficiency metrics are used in planning and reporting.

Clearly communicate metric assumptions, limitations, and confidence levels to senior audiences.

Anticipate and address skepticism by proactively surfacing risks, uncertainty, and trade-offs.

Manage and develop a team of 2–4 data scientists, including senior ICs.

Set expectations for analytical rigor, clarity of communication, and stakeholder impact.

Own work intake, prioritization, and delivery cadence aligned to FY26 milestones.

Act as the single analytical authority for Development Efficiency.

Ensure consistent interpretation of metrics across forums and leadership discussions.

Drive documentation and knowledge sharing to reduce rework and misalignment.

• 8+ years of experience delivering advanced analytics or data science solutions in complex business environments.
• Deep expertise in statistical modeling, time-series analysis, and causal inference.
• Demonstrated experience owning high-visibility, derived metrics used by senior leadership or Finance.
• Strong ability to influence through structured, evidence-based storytelling.
• Comfort operating in ambiguous environments with incomplete or imperfect data.
• Advanced degree in Statistics, Applied Mathematics, Data Science, Economics, Operations Research, or a related quantitative field.
• People management experience, including senior data scientists or analysts – advantage.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is: