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.

Location: Onsite – Menlo Park, CA (3 days per week)
Positions: 2
Duration: 6 months, with potential for extension
Start Date: ASAP

We provide comprehensive medical benefits, a 401k 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

• 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.

Internal Responsibilities

• 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.

Required Qualifications and Skills

• 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.

Preferred Qualifications and Skills

• 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.

Education

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