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# Data Scientist V-6355

- **Company:** The Itd
- **Location:** Menlo Park, CA, United States
- **Experience:** Expert
- **Salary:** $124,800.0
- **Contract:** Temporary to permanent
- **Skills:** Data Analysis, Big Data, Cluster Analysis, Data Visualization, Python (Programming Language), Machine Learning, Scripting, Freeform SQL, Sql Optimization, Analytic Functions, Data Analytics
- **Published:** October 22, 2026
- **Apply:** https://www.nexxt.com/job.asp?id=3472468102&tx=CT3432THT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

itD is seeking a Data Scientist V to drive data-informed decision-making by translating large-scale datasets into actionable insights, defining business objectives and success metrics, and developing analytical models that identify trends, uncover opportunities, and guide strategic decisions. The ideal candidate will bring 10+ years of industry experience in quantitative analysis, advanced SQL, Python, and statistical modeling, with a proven ability to deliver meaningful insights, communicate findings to diverse audiences, and independently drive analytical initiatives., * 10+ years of industry experience solving analytical problems using quantitative methods and data-driven approaches.

 * Advanced SQL proficiency, including complex querying, joins, aggregations, filtering, grouping, and analytical functions.
 * Python proficiency for data analysis, scripting, and analytical problem-solving.
 * Demonstrated experience conducting exploratory data analysis, defining and monitoring key metrics, investigating metric changes, and identifying business opportunities.
 * Strong understanding of statistical analysis, quantitative methods, and data interpretation.
 * Experience collaborating with stakeholders to define business objectives, OKRs, and measurable success metrics.
 * Ability to independently analyze complex datasets and develop actionable, evidence-based recommendations.
 * Strong communication skills, including the ability to explain analytical approaches and present complex findings to technical and non-technical audiences.

Preferred Qualifications and Skills

 * Experience designing interactive dashboards, data visualizations, and high-performance analytical reports.
 * Experience developing predictive and forecasting models using regression, clustering, classification, or other statistical techniques.
 * Experience designing research plans, formulating hypotheses, and conducting experiments to evaluate business questions.
 * Demonstrated ability to develop compelling data narratives that translate analytical findings into prioritized business actions.
 * Experience working with large-scale data environments and supporting data-driven decisions in complex organizations.

Education

Bachelor's degree in a relevant field or equivalent work experience required.

## Description

* Conduct exploratory data analysis (EDA) to identify trends, patterns, correlations, root causes of metric changes, and opportunities for business improvement using large-scale datasets.
 * Define business objectives and success metrics in partnership with stakeholders, establishing measurable objectives and key results (OKRs) and tracking progress against short- and long-term goals.
 * Develop and optimize advanced SQL queries and analytical workflows to extract, transform, analyze, and interpret complex datasets, enabling accurate and efficient data-driven decision-making.
 * Build predictive and forecasting models using statistical and machine learning techniques, including regression, clustering, and classification, and evaluate model performance to generate actionable recommendations.
 * Design high-performance dashboards and visualizations that communicate key metrics, provide clear narratives, and enable stakeholders to explore data and monitor business performance.
 * Translate analytical findings into compelling data stories by presenting insights, prioritized recommendations, and estimated business impact to both technical and non-technical audiences.
 * Develop research plans and conduct experiments by formulating hypotheses, selecting appropriate analytical methods, and evaluating results to answer business questions and identify new opportunities.

Internal Responsibilities

 * Attend regular internal practice community meetings.
 * Collaborate with your itD practice team on industry thought leadership.
 * Complete client case studies and learning materials, including blogs and media content.
 * Build materials that contribute to the Digital Transformation practice.
 * Attend internal itD networking events, both in person and virtually.
 * Work with leadership on career fast-track opportunities.