itD Tech

Data Scientist V (6223)

itD Tech
US Menlo Park, CA, US
Remote 2026-07-02
Estimated salary · Menlo Park
~ $82,100 - $142,600
Low
$82K
Median
$108K
High
$142K
Market in Menlo Park · BLS OEWS 2024
Estimated net pay
$5,273 - $8,317
/month · 23% withheld
after tax & contributions · on the estimated salary · Single, no dependents

Job description

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. **Location:** Remote (PST preferred). Candidates may also be based onsite in **Menlo Park, CA** or **Bellevue, WA**. *Please note that remote contractors may be required to transition onsite if Client offices fully reopen.* Duration: 6 Months 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. **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. **Internal Responsibilities** * Attend regular internal practice community meetings.

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