
11 - 50 employees
🤖 Artificial Intelligence
🏢 Enterprise
💰 $80.6G Series B on 2023-12
Artificial Intelligence • Legal • Enterprise
Harvey is a professional class AI solution tailored specifically for law firms, professional service providers, and Fortune 500 companies. It offers a suite of domain-specific tools that enable users to delegate complex tasks in natural language to a customized personal assistant. Harvey's platform facilitates rapid research with grounded results across legal, regulatory, and tax domains, while also providing secure project workspaces for document analysis through generative AI. With a focus on enterprise-grade security and industry-leading AI models, Harvey aims to streamline workflows and free professionals, such as lawyers, from mundane tasks, enabling them to concentrate on strategic and advisory roles.
🕒 January 16
🏢🏡 San Francisco – Hybrid
💵 $170k - $200k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
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11 - 50 employees
🤖 Artificial Intelligence
🏢 Enterprise
💰 $80.6G Series B on 2023-12
Artificial Intelligence • Legal • Enterprise
Harvey is a professional class AI solution tailored specifically for law firms, professional service providers, and Fortune 500 companies. It offers a suite of domain-specific tools that enable users to delegate complex tasks in natural language to a customized personal assistant. Harvey's platform facilitates rapid research with grounded results across legal, regulatory, and tax domains, while also providing secure project workspaces for document analysis through generative AI. With a focus on enterprise-grade security and industry-leading AI models, Harvey aims to streamline workflows and free professionals, such as lawyers, from mundane tasks, enabling them to concentrate on strategic and advisory roles.
• Embed deeply with the Marketing organization as a trusted partner, identifying opportunities to improve performance and drive growth. • Define, track, and evolve core metrics across marketing and business functions, building scalable dashboards and reporting frameworks that enable data-driven decision-making. • Design, implement, and evaluate models (multi-touch attribution, marketing mix modeling, incrementality) for comprehensive Marketing Channel and Campaign performance and contribution. • Apply statistical and machine learning techniques to model user behavior, forecast trends, and identify opportunities for growth and optimization. • Translate complex analyses into compelling stories, delivering clear recommendations to cross-functional partners and executives. • Partner with Marketing, RevOps and GTM System, to co-develop data infrastructure, ensuring robust pipelines, reliable data sources, and scalable systems that power analytics and modeling. • Lead cross-functional analytics initiatives that synthesize competitive dynamics, customer feedback, and market trends into actionable opportunities for the business. • Champion a data-informed culture by establishing best practices, mentoring peers, and shaping the strategic role of data science at Harvey.
• 6+ years of experience in quantitative roles operating in highly ambiguous environments, ideally as an early data scientist or Marketing analyst within a hyper-growth product company or research organization • Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows • Strong experience with modern data stack, such as DBT, Looker and Omni • Proficiency in quantitative programming languages, such as Python and R • Experience defining, implementing, and operationalizing Marketing campaign- and channel-level metrics from the ground up • Strong communication skills, with the ability to effectively partner with leaders across Marketing, GTM and Finance • Strategic mindset capable of generating insights that extend beyond traditional statistical significance testing to inform long-term product and business direction
• Comprehensive health, dental and vision coverage • Retirement benefits (401k match up to 4%) • Flexible PTO
Apply Now🕒 January 16
11 - 50
🤖 Artificial Intelligence
💸 Finance
☁️ SaaS
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