Decision Science Manager – Enterprise

🕒 Outubro 22

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $177.500 - $235.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👔 Gerente

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ZipRecruiter

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2010

🎯 Recrutamento

👥 RH Tech

🤝 B2B

💰 $550.000.000 Post-IPO Debt em 2022-01

Recruitment • HR Tech • B2B

ZipRecruiter é um marketplace online de empregos que conecta candidatos a empregadores. Oferece uma plataforma em que candidatos podem criar perfis e buscar vagas, enquanto as empresas podem criar contas para anunciar oportunidades. A plataforma envia alertas de vagas em tempo real para candidatos em potencial usando poderosa tecnologia de matching, garantindo conveniência para quem busca emprego e recrutamento eficiente para os negócios. Os serviços da ZipRecruiter são utilizados por pequenas e médias empresas (PMEs), grandes empresas e candidatos individuais, com o objetivo de agilizar o processo de busca de vagas e de recrutamento.

Descrição

• Manage and coach a team of decision scientists supporting the Enterprise area • Review and coach team work; own performance and career development conversations • Set expectations, prioritize concurrent projects, align team capacity with Enterprise and company goals • Improve team efficiency and establish standards for Data and AI tooling • Personally lead strategic analyses in the Enterprise space • Set methodological standards, pressure-test causal claims, and coach on appropriate analytical rigor • Own the decision science agenda for Enterprise and set analytical priorities • Evaluate Sales, GTM, and Customer Success initiatives using the strongest approach supported by available data • Apply quasi-experimental designs, descriptive before/after analyses, and qualitative signals where appropriate • Partner with Enterprise Product, Engineering, Rev Ops, Sales/GTM leadership, and Customer Success • Influence cross-functional direction and prioritization • Translate complex quantitative findings into clear, actionable recommendations for technical and non-technical senior stakeholders

🎯 Requisitos

• Bachelor's degree in a quantitative field such as mathematics, statistics, computer science, operations research, economics, or equivalent experience • 6+ years of analytics or data science experience in a product/engineering/tech environment • 1+ years of people management experience, including direct responsibility for performance management and career development • Demonstrated ability to lead data work on important business initiatives while earning the trust of cross-functional and business stakeholders • Experience measuring impact with both A/B tests and quasi-experimental or causal inference methods, including difference-in-differences, synthetic control, and matching • Sound judgment in low-data situations and ability to combine limited quantitative evidence with qualitative signals • Strong business acumen and ability to connect data analysis to measurable business outcomes • Excellent communication and presentation skills for technical and non-technical audiences • Preferred: experience with performance marketing campaign measurement and optimization • Preferred: experience analyzing customer retention, churn, and expansion in a B2B or enterprise SaaS business • Preferred: experience partnering with Sales, GTM, Rev Ops, or Customer Success teams • Preferred: experience working with small-sample or account-level data • Preferred: familiarity with recruiting, HR tech, ATS ecosystems, or two-sided marketplaces

🏖️ Benefícios

• Competitive salary • Exceptional benefits package • Flexible Vacation & Paid Time Off • Employer-matched 401(k) plan • Full range of medical, financial, and other benefits • Equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package

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