#### About the role

We’re looking for a data scientist who bridges technical depth with curiosity. You’ll help Redocly turn data into insight — driving smarter product, growth, and business decisions. This role combines data governance, analytics, and development. You’ll build reliable data pipelines, improve observability, and uncover meaningful patterns that guide how we grow and evolve. You’ll work closely with product and technical teams to analyze user behavior, run experiments, build predictive models, and turn complex findings into actionable recommendations. You’ll also design and support systems for collecting, transforming, and analyzing data across our stack.

#### What you'll do

- Analyze product and user behavior to uncover trends, bottlenecks, and opportunities.
- Design and evaluate experiments (A/B tests) to guide product and growth decisions.
- Build and maintain data pipelines, ETL processes, and dashboards for analytics and reporting.
- Develop and validate statistical and machine learning models for prediction, segmentation, and forecasting.
- Design and optimize data models for new features and analytics (e.g., using dbt).
- Work with event-driven architectures and standards like AsyncAPI and CloudEvents.
- Collaborate with engineers to improve data quality, consistency, and governance across systems.
- Use observability and tracing tools (e.g., OpenTelemetry) to monitor and improve performance.
- Create visualizations and reports that clearly communicate results to technical and non-technical audiences.
- Support existing frontend and backend systems related to analytics and data processing.
- Champion experimentation, measurement, and data-driven decision-making across teams.


#### What we’re looking for

- 5+ years of software engineering experience, with 3+ years focused on data science or analytics
- Strong SQL skills and experience with data modeling (dbt preferred)
- Solid understanding of statistics, hypothesis testing, and experimental design
- Proven experience in data governance, analytics, and backend systems
- Familiarity with columnar databases or analytics engines (ClickHouse, Postgres, etc.)
- Experience with modern data visualization tools
- Strong analytical mindset, attention to detail, and clear communication
- Passionate about clarity, simplicity, and quality in both data and code
- English proficiency: Upper-Intermediate or higher


#### Nice to have

- Understanding of product analytics and behavioral data
- Experience with causal inference or time-series modeling
- Strong proficiency with Node.js, React, JavaScript, and TypeScript
- Experience with frontend or backend performance optimization
- Familiarity with Git-based workflows and CI/CD for data pipelines


#### How you’ll know you’re doing a great job

- Teams make better product decisions, faster, because of your insights.
- Data pipelines are trusted, observable, and performant.
- Experiments drive measurable product and business outcomes.
- Metrics and dashboards are used across teams — not just built once.
- You’re the go-to person for clarity when questions arise about “what the data says.”.


#### About Redocly

Redocly builds tools that accelerate API ubiquity. Our platform helps teams create world-class developer experiences — from API documentation and catalogs to internal developer hubs and public showcases. We’re a globally distributed team that values clarity, autonomy, and craftsmanship. You’ll work alongside engineers, designers, and writers who love building tools that make technical work simpler and more joyful.

#### Life at Redocly

Redocly is a fun, supportive, and high-performing environment. We celebrate small victories, stay curious, and keep focused on progress. If you enjoy complex challenges, meaningful data, and building systems that empower others — you’ll feel right at home here.

#### Trying our products while applying?

Add `RECR-` to your name during trial registration, so we can spot candidates among trial users. Thanks!