Data Scientist V (6291)

itD Tech•Menlo Park, CA

3d•Hybrid

About The Position

Data Scientist V itD is seeking a Data Scientist V to drive data-driven decision-making by analyzing large-scale datasets, defining business metrics, developing predictive models, and translating complex findings into actionable recommendations. The ideal candidate will bring 10+ years of industry experience in quantitative analysis, advanced SQL, Python, statistical modeling, data visualization, and experimentation, with a proven ability to independently solve analytical problems and communicate insights to both technical and non-technical stakeholders.

Requirements

10+ years of industry experience solving analytical problems using quantitative approaches.
10+ years of experience working with data querying and/or programming languages such as SQL and Python.
Advanced SQL proficiency, including data analysis, querying, joins, aggregation, filtering, and analytical functions.
Strong experience performing exploratory data analysis (EDA) and interpreting large-scale datasets.
Experience defining, monitoring, and analyzing business metrics and success measures.
Strong background in statistical analysis and quantitative modeling.
Experience using scripting or statistical programming tools such as Python or R.
Ability to independently identify root causes of metric changes and generate data-driven recommendations.
Strong communication skills with the ability to explain analytical findings to technical and non-technical audiences.

Nice To Haves

Experience developing predictive and forecasting models, including regression, clustering, and classification.
Strong experience developing dashboards, reports, and data visualizations.
Experience with data storytelling and communicating insights through compelling narratives.
Experience designing and conducting research, experimentation, and hypothesis-driven analysis.
Experience working with large-scale data environments.
Experience defining business OKRs and partnering directly with leadership on business outcomes.

Responsibilities

Perform exploratory data analysis to identify trends, patterns, correlations, root causes, and opportunities using quantitative and statistical techniques.
Define business objectives, OKRs, and success metrics in partnership with stakeholders and establish approaches for monitoring progress.
Analyze key metrics at scale, investigate changes and discrepancies, and translate findings into actionable business recommendations.
Develop predictive and forecasting models using techniques such as regression, clustering, and classification, and evaluate model performance.
Design high-performance dashboards and visualizations that provide clear narratives while supporting detailed data exploration.
Communicate complex analytical findings and recommendations through compelling data stories tailored to technical and non-technical audiences.
Formulate hypotheses and research plans, conduct experiments and analysis, and generate insights that support business decisions and identify new opportunities.
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.