Data Scientist V (6223)

itD TechMenlo Park, CA
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.

Benefits

  • Comprehensive medical benefits
  • 401(k) plan
  • Paid holidays
  • Medical
  • Dental
  • Vision
  • Life insurance
  • 401K + matching
  • Networking & career learning and development programs
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