Data Scientist — In-Office NYC, End-to-End Impact & AI Tools

Digital Waffle; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Digital Waffle in New York is seeking a Data Scientist to turn messy early-stage data into actionable decisions. You will work directly with founders, product and engineering to design experiments, surface insights from product telemetry and model user behavior.

Expect end-to-end ownership from data pulling to presenting findings in the same week. You’ll need strong Python and SQL skills, experience with experimentation, and proficiency in modern data tools.

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 warehouse (Snowflake, BigQuery, Databricks or similar).
• Fluent with Pandas, NumPy, scikit-learn and notebook tools like Jupyter or Hex.
• Fluent in modern AI tooling (Claude, Cursor, ChatGPT) to raise output.
• High autonomy with strong communication in a messy early-stage data project.
• 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 roadmap and GTM decisions.
• Work hands-on in Python, SQL and notebook environments.
• Build analytical layers in dbt against a data warehouse.
• Partner with product and engineering on event instrumentation and tracking plans.
• Present findings clearly to founders and stakeholders.

Skills

Python

SQL

Experimentation

Causal inference

Statistical modelling

dbt

Snowflake

BigQuery

Databricks

Pandas

NumPy

scikit-learn

Jupyter

Hex

AI tooling

Communication

Autonomy

Tools

dbt

Snowflake

BigQuery

Databricks

Jupyter

Hex

Job description

Digital Waffle in New York is seeking a Data Scientist to turn messy early-stage data into actionable decisions. You will work directly with founders, product and engineering to design experiments, surface insights from product telemetry and model user behavior.

Expect end-to-end ownership from data pulling to presenting findings in the same week. You’ll need strong Python and SQL skills, experience with experimentation, and proficiency in modern data tools.