Senior Data Scientist - Product Analytics

Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? • The Research, Analytics & Data Science (RAD) team at Fin use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data — both big and small — to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you. • Data Scientists in RAD partner with teams across R&D to help Fin make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily. What will I be doing? • You’ll partner with product teams to help them identify important questions and answer those questions with data • You’ll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities • You’ll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. • You’ll partner closely with product researchers to build a holistic understanding of our customers, our products and our business. • You’ll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research • You’ll build and automate actionable models and dashboards • You’ll craft data stories and share your findings and recommendations across R&D and the broader company • You’ll drive and shape core RAD foundations and help us improve how the RAD org operates What skills do I need? • 5 + years experience working with data to solve problems and drive evidence-based decisions • Excellent SQL skills and experience of applying analytical and statistical approaches to problem solving • Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision • Excellent communication skills (technical and non-technical) and a focus on driving impact • Strong growth mindset and sense of ownership. Innate passion and curiosity • Experience with a scientific computing language (such as R or Python) Bonus skills & attributes • Experience with BI/Visualization tools like Tableau, Superset and Looker • Experience with data modeling and ETL pipelines • Experience working with product teams • Experience leveraging AI tools to boost efficiency and creativity across the data science workflow — from ideation and coding to analysis and communication #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our i