Data Scientist III (6026)

itD Tech•Menlo Park, CA

4d•$58 - $65•Onsite

About The Position

itD is seeking a Data Scientist lll to provide advanced analytical and modeling support for strategic initiatives across large-scale product ecosystems. This role contributes directly to data-driven decision-making by delivering actionable insights, robust metrics, and experimentation frameworks that inform product and ecosystem strategy. The ideal candidate brings deep data science expertise, strong communication skills, and a proven ability to drive impact in fast-paced environments. Location: Onsite - Menlo Park, CA Pay Range: $58 - 65 (hourly) We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.

Requirements

5+ years of professional experience in data science, analytics, or a related role.
Advanced proficiency in SQL and at least one programming language (Python or R).
Strong analytical and modeling skills with experience in product or ecosystem analysis.
Hands-on experience with data visualization tools such as Tableau, Unidash, or Metrics360.
Proven ability to communicate complex findings clearly and effectively to diverse stakeholders.
Ability to work independently and manage competing priorities in a fast-paced environment.
Experience working with large-scale datasets.

Nice To Haves

Prior experience supporting large-scale technology or platform ecosystems.
Previous experience working in a contractor or consulting capacity.
Familiarity with large-scale data infrastructure and distributed query systems.
Knowledge of experimentation design and causal inference methodologies.
Prior experience working in Meta environments is highly preferred.

Responsibilities

Analyze large, complex datasets to identify trends, patterns, and actionable insights supporting product and ecosystem performance.
Develop, implement, and maintain key metrics to measure health, growth, and engagement across products and platforms.
Design and execute structured experiments to evaluate new features, initiatives, and strategies.
Collaborate closely with cross-functional partners to define analytical requirements and inform strategic decisions.
Build dashboards and reports using data visualization tools to communicate insights to technical and non-technical stakeholders.
Deliver high-quality ad hoc analyses in response to time-sensitive business questions.
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.