About the RoleAs a Senior Analytics Engineer/Data Scientist at Laurel, you'll turn product and business data into clear, trustworthy insights leaders can act on. You'll own the analytics lifecycle-from ingestion and modeling to BI visualization and decision enablement. You'll deliver self-serve insights using SQL/Python and embedded BI (e.g., ThoughtSpot). You will also help define the design patterns and data infrastructure to scale.
We're especially interested in candidates who thrive in early-stage environments and pair analytical rigor with clear storytelling. You'll partner closely with our CX team to quantify and communicate Laurel's ROI, and you'll join customer-facing presentations. You will be able to translate complex methods for non-technical leaders while going deep with technical stakeholders when needed.
In addition, you'll apply machine learning to real-world product and business problems. You should be comfortable prototyping AI/ML models in notebooks, experimenting with approaches (classification, clustering, regression, NLP, etc.), and translating findings into actionable insights for the product and business.
What you will do- Build analyses & automation (SQL/Python)
- Run recurring ROI analyses (Business Impact Reports). Write performant SQL and pandas; productionize repeatable jobs (scheduling, alerts, anomaly checks) with orchestration (e.g., Airflow).
- Define metrics & model the data
- Own metric definitions (e.g., True Time vs. Released), create reusable SQL Data Models that serve as the analytics source of truth.
- Partner with CX on customer ROI
- Quantify and communicate Laurel's impact, prepare exec-ready materials, and join customer-facing presentations-translating for both non-technical and technical stakeholders.
- Ship dashboards & actionable insights
- Deliver customer-facing ThoughtSpot dashboards and turn findings into concise actionable insights
- Raise data quality & instrumentation
- Add validation tests and monitoring, triage data issues quickly, and collaborate with Product/Engineering to improve data quality.
- Data Platform Development
- Design, build, and maintain Laurel's Analytics Data Warehouseas the single source of truth for analytics and reporting needs.
- Create scalable ETL pipelines to ingest, process, and organize data from diverse sources (PMS, Web Analytics, WebApp).
- Deploy and maintain Business Intelligence tools to provide analytics and reporting capabilities.
You will be a great fit if you have- Education: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Experience: 3+ years of professional experience as a Data Scientist. Ideal candidates will be comfortable working with large-scale data systems.
- Technical Proficiency:
- Advanced SQL and Python
- Experience with data orchestration tools (e.g., Airflow, Prefect, Dagster).
- Proficiency in modern data warehouses (e.g., Snowflake, BigQuery, Redshift).
- Familiarity with data modeling, warehousing principles, and BI tools (e.g., Thoughtspot, PowerBI, Tableau).
- Ability to build ML models and quickly prototype solutions (classification, clustering, regression, NLP) that inform product direction.
- Experience With:
- Cloud platform expertise (AWS, GCP, Azure).
- Knowledge of dbt, Kubernetes, and Terraform.
- Exposure to CI/CD pipelines and DevOps practices.
- Soft Skills:
- Strong problem-solving and communication skills.
- Ability to work in a fast-paced startup environment and manage multiple priorities.
Nice to haves- Experience with knowledge worker productivity tools
- Familiarity with modern data visualization libraries (e.g., D3.js)
- ML and AI: Prototype, build and test ML models to quickly validate hypotheses and generate insights that guide Laurel product features
Flexibility and Logistics- Location: This role will be hybrid based in our San Francisco office, 3 days per week. We will consider exceptionally qualified candidates based in other US-locations on a case by case basis.
- Compensation: Competitive salary, generous equity, comprehensive medical/dental/vision coverage with covered premiums, 401(k), additional benefits including wellness/commuter/FSA stipends. For candidates based in San Francisco the compensation range for this role is $205,000-$249,000 USD. Final compensation amounts will be determined based on several factors including candidate experience, qualifications and expertise and may vary from the amounts listed.
- Visa Sponsorship: Unfortunately we are unable to provide Visa Sponsorship at this time.
