Own the analytical agenda — define which problems are worth pursuing, set the criteria for feasibility, and establish how the team evaluates project viability.
Set the standard for analytical communication across the team — defining templates, review processes, and quality bars for how insights are documented and shared in Jupyter or Colab notebooks.
Drive alignment across product, engineering, and leadership on data strategy — proactively surfacing gaps and influencing roadmap decisions to address them.
Lead the modeling strategy for pricing and bidding — defining the technical approach across the stack (scikit-learn, statsmodels, TensorFlow, PyTorch), evaluating tradeoffs, and being accountable for measurable business outcomes.
Prototype predictive models that can be scaled by the ML engineering team into production systems.
Leverage Vertex AI or equivalent tools for experimentation, training, and deployment workflows.
Create visualizations using Python (Plotly, Matplotlib, or Seaborn) to communicate key findings effectively.
Contribute to a culture of analytical rigor, documentation, and rapid experimentation.

Requirements

7+ years of experience as a data scientist or applied researcher, ideally in tech, fintech, or advertising.
3+ years of experience in a senior data science position.
Ability to lead projects from conception through execution.
Strong statistical foundation with hands-on experience using **scikit-learn**, **statsmodels**, **TensorFlow**, or **PyTorch**.
Proven ability to perform exploratory data analysis (EDA) and communicate findings clearly through notebooks and visualization.
Experience using **Vertex AI**, **SageMaker**, or other ML lifecycle platforms for experimentation and model deployment.
Fluency in SQL and Python data tooling (pandas, NumPy, Plotly, etc.).
Deep curiosity about how data is created, transformed, and used to drive business outcomes.
Pragmatic mindset — balancing research depth with real-world impact and iteration speed.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data scienceexploratory data analysispredictive modelingstatistical analysismachine learningdata visualizationPythonSQLscikit-learnTensorFlow

Soft Skills

analytical communicationproject leadershipcollaborationinfluencecuriositypragmatic mindsetdocumentationrapid experimentation