Job Description

About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role: Anthropic is seeking a talented Recruiting Analytics Engineer to join our growing Recruiting Operations team. In this role, you'll be instrumental in leveraging data and analytics to enhance our recruiting processes, drive data-informed decision-making, and support our mission to build safe and beneficial AI systems. You'll work closely with our Recruiting, Operations, and People Analytics teams to develop innovative solutions that improve our ability to attract, assess, and hire top talent.Responsibilities:Design, develop, and maintain data pipelines, dashboards, and reporting systems to provide actionable insights on recruiting metrics and trends (we currently use BigQuery and Looker Studio)Collaborate with recruiting leadership to identify key performance indicators and create data visualizations that inform recruiting strategiesImplement and optimize applicant tracking system (ATS) integrations and other recruiting tools to ensure data accuracy and consistencyConduct in-depth analyses of recruiting data to identify patterns, bottlenecks, and opportunities for improvement in our hiring processes and present out using best storytelling with data practicesDevelop predictive models and machine learning algorithms to enhance candidate sourcing, screening, and matching processesCreate and maintain documentation for data processes, metrics definitions, and analytics methodologiesPartner with engineering teams to ensure data privacy and security best practices are followed in all recruiting analytics initiativesContinuously research and implement new technologies and methodologies to improve our recruiting analytics capabilitiesYou may be a good fit if you:Have a strong background in data engineering, analytics, or a related field, with 5+ years of experience applying these skills in a Recruiting or People Analytics contextAre proficient in SQL, Python, and data visualization tools (e.g., Tableau, Looker, or Power BI)Have experience working with applicant tracking systems (ATS) and HR information systems (HRIS)Possess a deep understanding of recruiting metrics, funnel analysis, and talent acquisition processesAre skilled at translating complex data into clear, actionable insights for both technical and non-technical audiencesHave experience with machine learning and predictive modeling techniquesAre passionate about using data to drive decision-making and process improvementsThrive in a fast-paced, collaborative environment and can manage multiple projects simultaneouslyHave excellent communication skills and can build strong relationships across teamsAre excited about Anthropic's mission and the potential impact of AI on societyStrong candidates may also:Have experience with cloud-based data warehousing solutions (e.g., BigQuery, Redshift, Snowflake)Be familiar with data privacy regulations and best practices for handling sensitive informationHave knowledge of natural language processing (NLP) techniques for analyzing unstructured data in recruiting contextsPossess experience with A/B testing and experimental design in talent acquisitionDemonstrate a track record of implementing innovative data-driven solutions in recruiting or HRDeadline to apply: None. Applications will be reviewed on a rolling basis.The expected salary range for this position is:Annual Salary:$205,000—$275,000 USDLogisticsLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.How we're differentWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Anthropic

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