Data Scientist V-6355

<p></p> <h2 class="x1ll2q23 x1a4oops x132q4wb">Data Scientist V-6355</h2> <p></p> <p class="x12ofw9d">itD is seeking a <strong>Data Scientist V</strong> 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 <strong>10+ years of industry experience in quantitative analysis, advanced SQL, Python, and statistical modeling</strong>, with a proven ability to deliver meaningful insights, communicate findings to diverse audiences, and independently drive analytical initiatives.</p> <p></p> <p class="x12ofw9d"><strong>Location:</strong> Hybrid — Menlo Park, CA (onsite 3 days per week)</p> <p></p> <p class="x12ofw9d"><strong>Contract Duration:</strong> 6 months, with potential for extension<br><strong>Pay Rate:</strong> Up to $60per hour, depending on experience.<br>We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more.<br>Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.</p> <p></p> <hr> <p></p> <h2 class="x1ll2q23 x1a4oops x132q4wb">Responsibilities</h2> <p></p> <ul class="x12ofw9d"> <li><strong>Conduct exploratory data analysis (EDA)</strong> to identify trends, patterns, correlations, root causes of metric changes, and opportunities for business improvement using large-scale datasets.</li> <li><strong>Define business objectives and success metrics</strong> in partnership with stakeholders, establishing measurable objectives and key results (OKRs) and tracking progress against short- and long-term goals.</li> <li><strong>Develop and optimize advanced SQL queries and analytical workflows</strong> to extract, transform, analyze, and interpret complex datasets, enabling accurate and efficient data-driven decision-making.</li> <li><strong>Build predictive and forecasting models</strong> using statistical and machine learning techniques, including regression, clustering, and classification, and evaluate model performance to generate actionable recommendations.</li> <li><strong>Design high-performance dashboards and visualizations</strong> that communicate key metrics, provide clear narratives, and enable stakeholders to explore data and monitor business performance.</li> <li><strong>Translate analytical findings into compelling data stories</strong> by presenting insights, prioritized recommendations, and esti