Data Scientist V (6223)

itD Tech•Menlo Park, CA

1d•Remote

About The Position

itD is seeking a Data Scientist V to drive data-informed decision-making for new product development by delivering advanced analytics, experimentation, and actionable insights across cross-functional teams. The ideal candidate will bring deep expertise in data science, statistical analysis, and product analytics, along with a proven track record of supporting 0-to-1 product development, designing measurement frameworks, and influencing product strategy through data.

Requirements

Proven experience using data science to support 0-to-1 product development.
Strong proficiency in Python for data analysis, statistical modeling, and automation.
Advanced experience with SQL for querying, transforming, and analyzing large-scale datasets.
Strong knowledge of statistics, including hypothesis testing, regression analysis, experimental design, and statistical inference.
Experience designing and evaluating A/B tests, KPI frameworks, and measurement methodologies.
Knowledge of operational research techniques, including optimization, simulation, or decision analysis.
Experience translating complex analytical findings into actionable business recommendations.
Ability to manage multiple priorities and deliver high-quality analytical work in a fast-paced environment.
Bachelor's degree in Statistics, Computer Science, Data Science, Mathematics, or a related quantitative field, or equivalent work experience required.

Nice To Haves

Experience building or supporting data pipelines or a data engineering background.
Previous experience at Meta or another large technology company.
Experience supporting rapid product innovation within consumer technology environments.
Experience partnering closely with product teams on product strategy and experimentation.

Responsibilities

Analyze large, complex datasets to identify trends, business opportunities, and key drivers that influence product performance.
Design, execute, and evaluate experiments, including A/B tests, KPI frameworks, and measurement strategies for new product initiatives.
Develop reproducible analyses, dashboards, and reporting solutions to enable ongoing product and business performance monitoring.
Build statistical models and operational research solutions to support forecasting, optimization, prioritization, and strategic planning.
Partner with product managers, engineers, and cross-functional stakeholders to translate business questions into scalable analytical solutions.
Present analytical findings and recommendations to technical and non-technical audiences, enabling data-driven product decisions.
Validate data quality, document analytical methodologies, and ensure accuracy and consistency across reporting and insights.
Attend regular internal practice community meetings.
Collaborate with your itD practice team on industry thought leadership.
Complete client case studies and learning material (blogs, media material).
Build out material to contribute to the Digital Transformation practice.
Attend internal itD networking events (in person and virtual).
Work with leadership on career fast-track opportunities.