Senior Analytics Engineer / Data Scientist

Laurel

Senior Analytics Engineer/Data Scientist transforming product and business data into actionable insights at Laurel. Delivering self-serve insights and applying machine learning to real-world problems.

Posted 7/9/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $205,000 - $249,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureBigQueryCloudGoogle Cloud PlatformKubernetesPythonSQLTableauTerraform

About the role

Key responsibilities & impact

Turn product and business data into clear, trustworthy insights leaders can act on.
Own the analytics lifecycle—from ingestion and modeling to BI visualization and decision enablement.
Deliver self-serve insights using SQL/Python and embedded BI (e.g., ThoughtSpot).
Define the design patterns and data infrastructure to scale.
Partner closely with the CX team to quantify and communicate Laurel’s ROI, and join customer-facing presentations.
Apply machine learning to real-world product and business problems.
Comfortable prototyping AI/ML models in notebooks, experimenting with approaches (classification, clustering, regression, NLP, etc.), and translating findings into actionable insights.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
3+ years of professional experience as a Data Scientist.
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.
Cloud platform expertise (AWS, GCP, Azure).
Knowledge of dbt, Kubernetes, and Terraform.
Exposure to CI/CD pipelines and DevOps practices.
Strong problem-solving and communication skills.
Ability to work in a fast-paced startup environment and manage multiple priorities.

Benefits

Comp & perks

Competitive salary
Generous equity
Comprehensive medical/dental/vision coverage with covered premiums
401(k)
Additional benefits including wellness/commuter/FSA stipends

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data ModelingBI VisualizationClassificationClusteringRegressionNatural Language ProcessingData Warehousing PrinciplesPrototyping SolutionsAnalytics Lifecycle ManagementDecision Enablement

Soft Skills

Strong Problem-Solving SkillsEffective Communication SkillsAbility to Manage Multiple Priorities