Experience
5 - 10 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Data Science Engineer
Job Type
ONSITE
Job Description
We re looking for a technical, execution-minded Growth Data Science Engineer to build the data and AI systems that power Docusign s self-serve growth motion. In this role, you will bridge the gap between data science and data engineering, ensuring our growth squad has the infrastructure needed to drive seamless customer acquisition, adoption, expansion, and retention. You will be responsible for building robust data pipelines, deploying AI-driven features, and leveraging modern tools to accelerate development. Partnering closely with a cross-functional squad including Growth, Product, Engineering, and Marketing you will implement the technical systems that translate customer intent into real-time, automated product experiences.
This position is an individual contributor role reporting to the Director, Growth Analytics.
Responsibility
- Design, build, and maintain scalable data pipelines that ingest and process product telemetry and behavioral signals to support growth experiments and reporting
- Develop and maintain automated dashboards in Tableau to provide the growth squad with real-time visibility into experiment performance, funnel health, and AI model accuracy
- Utilize agentic AI tools like Claude Code to rapidly prototype features, refactor data processing scripts, and automate manual engineering workflows
- Implement and manage the technical frameworks required for A/B testing and causal inference, ensuring growth experiments are architected for accuracy and scale
- Partner with Engineering to ensure growth data is properly instrumented and flows correctly between business systems of record and Docusign s product platforms
- Apply advanced techniques (predictive modeling, segmentation, LTV analysis) to understand customer behavior and integrate these insights into automated growth loops
Job Designation
Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a positions job designation depending on business needs and as permitted by local law.
What you bring
Basic
- 5+ years of experience in Data Engineering, Data Science, or a related technical role, ideally within a SaaS growth environment
- Strong command of Python and SQL, with experience building production-grade data pipelines (e.g., using dbt, Airflow, or similar orchestration tools) and creating impactful visualizations in Tableau
- Experience using AI-assisted coding tools (like Claude Code or GitHub Copilot) to improve development velocity and code quality
- Deep understanding of data warehousing concepts, telemetry instrumentation, and API integrations
- Practical knowledge of experimentation frameworks, including A/B testing and statistical significance
Preferred
- Experience building AI-native features or working with LLMs in a product context
- Experience operating in hybrid self serve / sales assisted SaaS business models
- MBA, MS, or PhD in a quantitative discipline (e.g., Statistics, Computer Science, Economics)
- Ability to work effectively within a cross-functional squad to turn product requirements into technical solutions
- Demonstrated ability to distill complex analytical findings into concise, actionable recommendations for executive audiences
- Excellent communication and presentation skills with the ability to present complex data analysis, insights, and recommendations to senior leadership
No Referrers Available
There are currently no referrers available for this job. You can still apply, will let you know once there is any referrer available.