# Senior Data Scientist - Product Analytics

**Company**: Intercom
**Location**: London, England
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/intercom/jobs/6317929?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b37a1339-1fc

## Description

We are seeking a Senior Data Scientist to join our Research, Analytics & Data Science (RAD) team. As a Senior Data Scientist, you will partner with product teams to drive evidence-based decision-making using data and insights. You will work closely with product managers, designers, and engineers to develop key product success metrics, set targets, measure results, and outcomes. You will 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 will also influence our product roadmap and product strategy through experimentation, exploratory analysis, and quantitative research. You will build and automate actionable models and dashboards, craft data stories, and share your findings and recommendations across R&D and the broader company. You will drive and shape core RAD foundations and help us improve how the RAD org operates.

The ideal candidate will have 5+ years of experience working with data to solve problems and drive evidence-based decisions. They will have excellent SQL skills and experience of applying analytical and statistical approaches to problem-solving. They will have a proven track record of initiating and delivering actionable analysis and insights that drive tangible impact with minimal supervision. They will have excellent communication skills (technical and non-technical) and a focus on driving impact. They will have a strong growth mindset and sense of ownership, innate passion, and curiosity. They will have experience with a scientific computing language (such as R or Python).

Bonus skills and attributes include experience with BI/Visualization tools like Tableau, Superset, and Looker, experience with data modeling and ETL pipelines, experience working with product teams, and experience leveraging AI tools to boost efficiency and creativity across the data science workflow.

## Skills

### Required
- SQL
- Analytical and statistical approaches
- Scientific computing language (R or Python)
- Data modeling and ETL pipelines
- BI/Visualization tools (Tableau, Superset, Looker)

### Nice to have
- AI tools
- Data science workflow
- Product teams
- Communication skills

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/intercom/jobs/6317929?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)