Data Scientist V-6355

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.

Location: Hybrid — Menlo Park, CA (onsite 3 days per week)

Contract Duration: 6 months, with potential for extension

Pay Rate: Up to $60per hour, depending on experience.

We provide comprehensive medical benefits, a 401(k) 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

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.

Required Qualifications and Skills

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.