3-5+ years of experience in data analytics, business analytics, or related tech roles
Bachelor's degree in Analytics, Statistics, Mathematics, Economics, Computer Science, Engineering, or a similar quantitative field
Proficiency in advanced SQL, dashboard design, and experimentation analysis
Experience managing large and complex datasets effectively
Strong analytical mindset with attention to detail and execution mindset
Excellent communication and collaboration skills for cross-functional teamwork
Responsibilities
Monitor and analyze key growth metrics across all stages of the customer journey
Build and maintain clear dashboards and reports for growth performance tracking
Support the design, analysis, and validation of growth experiments and initiatives
Identify and communicate key drivers of metric changes and anomalies
Collaborate with analytics stakeholders across regions to ensure consistency in methodologies
Benefits
Employee Stock Ownership Plan (ESOP) for long-term financial stake
Dynamic work environment where personal ideas shape AI productivity
Top-tier health, dental, and vision insurance with employer subsidies
Unlimited PTO, 13 paid holidays, and 12 weeks of fully paid parental leave
Hybrid work model with minimum in-office presence and high-quality workplace perks
Access to leading AI productivity tools and resources
Top-performance equipment options for new hires
Culture of craftsmanship, ownership, and team bonding events
Full Job Description
About the Role
We're looking for a Data Scientist to partner closely with Product Management on an upcoming product initiative. This is a hands-on role designed for someone who can identify the right problems to solve, execute rigorous analysis end-to-end, and translate insights into clear product decisions.
You will operate in an early-stage product environment where ambiguity is high, metrics are evolving, and early decisions have an outsized impact on product adoption, active usage, and future monetization opportunities. What You Will Do
Own the Growth & Commercial Architecture: Architect and define key commercial metrics, funnels, and leading indicators across user acquisition, activation, conversion, retention, and revenue performance.
Drive Monetization & Pricing Strategy: Partner with leadership to support subscription monetization, packaging, and pricing decisions by building structured evaluation frameworks and clear, data-backed recommendations.
Lead Growth & Marketing Experimentation: Design, execute, and validate marketing campaigns, growth initiatives, and product-led growth (PLG) experiments, ensuring strict statistical rigor (A/B testing, cohort modeling).
Proactive Funnel Diagnostics: Act as the detective for our revenue engine. You will hunt down the root causes behind metric anomalies, conversion fluctuations, or performance dips, translating raw data into executive-ready narratives and decision memos.
Scale Self-Serve Data Products: Build automated dashboards and robust business review materials that give Go-To-Market (GTM) teams and executives trusted, crystal-clear visibility into real-time performance.
Align Global Analytics: Partner closely with cross-regional analytics stakeholders to lead methodology alignment, share localized context, and ensure global data consistency.
Minimum Qualifications
The Experience: 3-5+ years of experience in growth data science, commercial/revenue analytics, or product analytics within tech, B2B SaaS, or high-growth AI companies.
Technical Foundation: Advanced SQL proficiency and deep experience with commercial analytics methods (funnel analysis, cohort analysis, lifetime value modeling, user segmentation). Strong hands-on experience building out modern BI reporting systems (e.g., Looker, Tableau, Metabase).
Strategic Ownership: High ownership mindset with a proven ability to turn complex, multi-touch datasets into clear, actionable business strategies. You take pride in moving projects independently from data pull to executive pitch.
Business Acumen: Strong commercial intuition. You understand sales funnels (e.g., renewal, expansion) and know how marketing channels interact with product conversion.
Communication: Clear, compelling communication skills with the ability to bridge the gap between technical datasets and non-technical growth partners.
Preferred Qualifications
Direct experience supporting B2B monetization, packaging changes, or hardware-plus-software pricing strategy.
Comfort using AI-assisted analytics tools or automation workflows to maximize analytical efficiency.
A background working in fast-paced tech environments or early-stage products with rapidly evolving data infrastructure.
What we offer
Meaningful Ownership An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud's long-term success.
High-Impact Environment Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity.
Comprehensive Health & Retirement Benefits Top-tier medical, dental, and vision insurance for employees and dependents, supported by a generous employer subsidy, plus a 401(k) retirement plan with company matching for full-time employees.
Time Off & Workplace Benefits Unlimited PTO, plus 13 paid holidays, 12 weeks of fully paid parental leave for all parents, a hybrid work model with a minimum of three in-office days per week, and access to high-quality office snacks, drinks, and equipment.
Cutting-Edge AI Tools for Productivity Access to best-in-class AI tools, including Cursor, GPT models, Gemini, Claude, and other frontier AI systems to maximize engineering and execution efficiency.
Best-in-Class Equipment Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires.
Team & Culture Annual company offsites, team events, and a culture that values craftsmanship, ownership, and velocity.
