In-Office Data Scientist: Drive AI-Powered Decisions (SF)

Digital Waffle; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Digital Waffle in San Francisco is seeking a Data Scientist to turn messy early-stage data into decisions that move the business. You’ll work directly with founders, product and engineering to design experiments, surface insights from product telemetry, and run end-to-end—from data pulls to presenting results that drive decisions within the week.

You’ll design experiments across product, growth and retention, build models in Python and SQL, and collaborate on event tracking with a lean,

Qualifications

• Strong Python and SQL for day-to-day analytical work.
• Experience with experimentation, causal inference or statistical modelling in a product environment.
• Comfortable with dbt and a modern data warehouse (Snowflake, BigQuery, Databricks).
• Fluent with Pandas, NumPy, scikit-learn and notebook tools like Jupyter or Hex.
• Fluent in modern AI tooling (Claude, Cursor, ChatGPT) and able to use it to raise output.
• High autonomy, strong communication, pragmatic approach to messy early-stage data.
• Happy working 5 days a week in-person with a small, high-intensity team.

Responsibilities

• Design and analyse experiments across product, growth and retention surfaces
• Build models and analyses that influence real roadmap and GTM decisions
• Work hands-on in Python (Pandas, NumPy, scikit-learn), SQL and notebook environments (Jupyter, Hex)
• Build and maintain analytical layers in dbt against a warehouse (Snowflake, BigQuery or DuckDB-style stack)
• Partner with product and engineering on event instrumentation and tracking plans
• Use AI tooling (Claude, Cursor and similar) across every part of your analytical workflow to compress cycle time
• Present findings clearly to founders and stakeholders, with sharp written and verbal communication

Skills

Python

SQL

Experimentation

Causal inference

Statistical modelling

AI tooling

Communication

Tools

dbt

Snowflake

BigQuery

Databricks

Jupyter

Hex

Job description

Digital Waffle in San Francisco is seeking a Data Scientist to turn messy early-stage data into decisions that move the business. You’ll work directly with founders, product and engineering to design experiments, surface insights from product telemetry, and run end-to-end—from data pulls to presenting results that drive decisions within the week.

You’ll design experiments across product, growth and retention, build models in Python and SQL, and collaborate on event tracking with a lean,