Senior Data Scientist - Product Analytics

Intercom · London, England · по договорённости

Компания
Intercom
Город
London, England
Зарплата
по договорённости
Уровень
senior
Формат
full_time
Иностранная компания
нанимает русскоязычных

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 efficien

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