Your impactHandshake is actively seeking an Senior Data Scientist - Product Analytics specializing in Product, Growth, and/or Revenue analytics to support our Research and Development team, spearheading the measurement and analysis of product success. This pivotal role will play a crucial part in shaping Handshake's overarching strategy and product roadmap. This position requires a strong blend of technical expertise, strategic thinking, and communication skills to guide our products' evolution and deliver maximum value to our three-sided marketplace, consisting of students, employers, and universities. This role reports to the Analytics Manager, embedded within the broader Data team, and you will work alongside a talented team of data scientists and analytics engineers.Your roleWork side-by-side and partner strategically with a Research and Development Leadership, becoming a subject-matter expert in a given domainContribute to a data-driven product strategy and own the corresponding analytics prioritization and roadmapping to execute on and measure the effectiveness of this strategyOwn domain goal-setting, tracking, and reporting on progress and impactLead experimentation within a given vertical, working to ensure that tracking is instrumented proactively and scaling our ability to efficiently and reliably run experimentsCollaborate with Analytics Engineering and Relevance teams to define metrics and build out foundational data modelsContribute to the vision and strategy for product analytics and the wider data organization at HandshakeLead by example to build a culture of accountability and rigor to substantiate proven business impactAdvocate for the millions of students and employer users on Handshake by communicating data insights and recommendations to marketing, product and leadership teamsYour experienceProven experience in using data to drive product development and decision-making and direct experience working with engineers and wider product teamsStrong communication and presentation skills, including the ability to translate data-related concepts and results for leadership and less technical stakeholdersExperience conducting exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization. Beyond just reporting metrics, we value the ability to dig in an explain the “why” behind trendsA clear understanding and demonstrable experience in experimentation design and process development, including comfort with A/B testingExpertise in SQL is essential. Expertise with Jupyter-style notebooks and Python statistics packages is a huge plus.Experience creating dashboards and visualizations in tools such as Hex, Looker, Mode, etc.Ability to start, own, and drive projects to completion with minimal guidanceBonus areas of expertiseData modeling (we use dbt!) * Some familiarity with LookMLOur Analytics StackFivetran, Segment, Bigquery, dbt, Airflow, Looker, HexCompensation range
