Data Scientist V-6355

itD Tech•San Jose, CA

4d•Hybrid

About The Position

itD is seeking a Data Scientist V to turn large-scale datasets into actionable insights, define business objectives and success metrics, and develop analytical models that identify trends, uncover opportunities, and guide strategic decisions. The role includes exploratory data analysis, advanced SQL and analytical workflow development, statistical and machine learning modeling, dashboard and visualization design, experiments, and communicating recommendations to both technical and non-technical audiences. The position is hybrid in Menlo Park, California, with onsite work three days per week. The contract duration is six months, with potential for extension. The pay rate is up to $60 per hour, depending on experience. Only direct W2 candidates are being considered; sponsorship is not available. The role also includes internal practice activities, such as attending community and networking meetings, collaborating on industry thought leadership, creating case studies and learning materials, contributing to the Digital Transformation practice, and working with leadership on career development opportunities.

Requirements

10+ years of industry experience solving analytical problems using quantitative methods and data-driven approaches.
Advanced SQL proficiency, including complex queries, joins, aggregations, filtering, grouping, and analytical functions.
Proficiency in Python for data analysis, scripting, and analytical problem-solving.
Experience with 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 explaining analytical approaches and presenting complex findings to technical and non-technical audiences.
Bachelor’s degree in a relevant field or equivalent work experience.

Nice To Haves

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.
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.

Responsibilities

Conduct exploratory data analysis on large-scale datasets to find trends, patterns, correlations, root causes of metric changes, and opportunities for business improvement.
Partner with stakeholders to define business objectives, OKRs, and measurable success metrics, and track progress against short- and long-term goals.
Develop and optimize advanced SQL queries and analytical workflows to extract, transform, analyze, and interpret complex datasets.
Build predictive and forecasting models using statistical and machine learning techniques, including regression, clustering, and classification, and assess their performance.
Design high-performance dashboards and visualizations that communicate metrics and enable stakeholders to explore data and monitor business performance.
Present analytical findings as data stories, including prioritized recommendations and estimated business impact, to technical and non-technical audiences.
Develop research plans, formulate hypotheses, select analytical methods, and conduct experiments to answer business questions and identify opportunities.
Attend regular internal practice community meetings and internal networking events, in person and virtually.
Collaborate with the itD practice team on industry thought leadership and create client case studies and learning materials, including blogs and media content.
Build materials that contribute to the Digital Transformation practice and work with leadership on career fast-track opportunities.