We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: We are looking for a Lead Decision Scientist to join our Jobseeker Decision Science team at ZipRecruiter. This role is pivotal in accelerating business-focused decision-making for key product and business initiatives. As a Lead Decision Scientist supporting the Jobseeker Team, you will leverage your expertise to deliver high-quality, actionable insights for cross-functional teams, balancing analytical rigor with speed to insight. Key Focuses: - Drive Business Outcomes & Decision Making: Serve as a trusted partner for Product and Engineering stakeholders, translating complex data into clear, business-focused decisions. Enable impact through analysis, experimentation, causal inference, and modeling, ensuring timely and data-based insights. - Become a Subject Matter Expert: Identify opportunities, define metrics, and build analytical frameworks that guide product success. - Excellent Communication & Strategic Translation: Synthesize and communicate complex analytical findings to executive leadership and senior stakeholders in product and engineering, translating them into clear, actionable business strategies. - High-Impact Project Leadership: Driving the end-to-end execution on key initiatives, from hypothesis generation and experimental design through to post-launch analysis and recommendation. - Technical Leadership: Providing guidance and direction to the team's technical roadmap, standards, and best practices for experimentation, causal inference, and AI tooling. - Mentoring: Upleveling our junior IC talent through dedicated mentorship on technical skills, communication, and business acumen. - Experimentation Excellence & Speed: Design and analyze large-scale A/B tests, utilizing advanced statistical techniques to ensure validity and rigor in product decision-making, while driving efficiency to deliver rapid, reliable insights. Minimum Qualifications: - Bachelor's degree in a quantitative field such as mathematics, computer science, operations research, economics, or equivalent experience. - 6+ years of product analytics or data science experience in a product/engineering/tech environment. - Experience with designing experiments, A/B testing, and utilizing statistical principles to inform business decisions. - Strong business acumen and a demonstrated ability to connect data analysis to measurable business outcomes. - Strong communication and presentation skills, with experience synthesizing complex findings for both technical and non-technical audiences, including executive leadership. - Proficient in statistical computing and scripting languages such as Python, R, SQL. Preferred Qualifications: - Prior experience with two-sided marketplaces (e.g., job boards, e-commerce, or similar platforms). - Master’s degree or PhD in a quantitative field. - Experience in a technical lead or IC leadership role. As part of our team you’ll enjoy: - Competitive salary - Exceptional benefits package - Flexible Vacation & Paid Time Off - Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $170,000-$200,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Role Description - Collect, organize, interpret, and summarize statistical data to contribute to the design and development of Meta products. - Apply expertise in quantitative analysis, data mining, and data presentation to understand user interactions with consumer and business products. - Partner with Product and Engineering teams to solve problems and identify trends and opportunities. - Inform, influence, support, and execute product decisions and launches. - May be assigned projects in various areas including, but not limited to: - Product operations - Exploratory analysis - Product influence - Data infrastructure - Work on problems of moderate scope requiring analysis of various factors. - Exercise judgment within defined procedures and practices to determine appropriate action. - Telecommuting from anywhere in the U.S. is allowed. Qualifications - Bachelor's degree (or foreign equivalent) in Statistics, Mathematics, Data Analytics, Computer Science, Engineering, Information Systems, Applied Sciences, or a related field. - Completion of a university-level course, research project, internship, or thesis in the following areas: - Performing quantitative analysis including data mining on highly complex data sets. - Data querying language: SQL. - Scripting language: Python. - Statistical or mathematical software including one of the following: R, SAS, or Matlab. - Applied statistics or experimentation, such as A/B testing, in an industry setting. - Machine learning techniques. - ETL (Extract, Transform, Load) processes. - Relational databases. - Large-scale data processing infrastructures using distributed systems. - Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics. Requirements - $222,132/year to $284,900/year + bonus + equity + benefits.

Role Description A pessoa selecionada para essa posição atuará no suporte às atividades analíticas do time, contribuindo para automatização de processos, desenvolvimento de modelos e organização de projetos. - Criar scripts em R ou Python para automatizar tarefas analíticas, gerar resultados de testes e melhorar a eficiência dos fluxos de trabalho. - Apoiar o desenvolvimento de modelos estatísticos e preditivos, seguindo metodologias estabelecidas e trabalhando em conjunto com profissionais mais experientes. - Manter a organização de repositórios e documentação, garantindo consistência, rastreabilidade e estrutura adequada dos materiais técnicos. - Auxiliar em análises e ajustes técnicos relacionados a customizações e estudos conduzidos pela equipe. - Contribuir para a melhoria contínua de workflows, funções e visualizações usadas em processos de modelagem, sempre com foco em performance e qualidade. Benefits - We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. - We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. - Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. - Please read our Candidate Privacy Policy. - We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. Company Description

• You will apply rigorous analytical thinking and modern AI capabilities to design, build, and scale high-impact solutions. • Design, develop, and deploy GenAI-powered internal applications, copilots, and workflow accelerators. • Build reusable AI components, including retrieval pipelines, structured prompting patterns, orchestration workflows, and evaluation harnesses. • Develop and maintain statistical and machine learning models to support automation, optimization, forecasting, and classification use cases. • Design retrieval strategies that connect LLMs to trusted internal knowledge sources, ensuring grounded and reliable outputs. • Implement evaluation and validation frameworks to measure quality, accuracy, and consistency of AI-driven systems. • Partner cross-functionally to identify high-value opportunities for AI enablement across the organization. • Create reusable datasets, feature pipelines, and experimentation frameworks to support iterative development. • Document methodologies, assumptions, and implementation details to ensure transparency and reproducibility. • Uphold high standards for quality, reliability, and responsible AI practices. • Contribute to peer review processes to ensure technical rigor and maintainability.