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.
• Experience designing research plans, formulating hypotheses, and conducting experiments to evaluate business questions.
• Demonstrated ability to develop compelling data narratives that translate analytical findings into prioritized business actions.
• Experience working with large-scale data environments and supporting data-driven decisions in complex organizations.

Education

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