Data Scientist VitD 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.
Additional InfoDynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!
