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Senior Applied Scientist
Company | Demandbase |
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Location | San Francisco, CA, USA |
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Salary | $204000 – $266000 |
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Type | Full-Time |
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Degrees | Master’s, PhD |
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Experience Level | Senior, Expert or higher |
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Requirements
- 8+ years in data science or applied machine learning roles, with demonstrated experience in causal inference and building and deploying models
- Graduate degree (M.S. or Ph.D.) in Statistics, Econometrics, Computer Science, Machine Learning, Mathematics or a related field
- Proven experience applying causal inference methods (experimental and observational) as well as ML methods including: Experimentation (A/B testing), Observation Studies (propensity score matching, difference-in-differences, synthetic controls, etc.), Statistical modeling, ML methods, Ranking & Recommendation Systems
- Strong proficiency in Python and ML libraries (e.g., Scikit-Learn, Pandas, Numpy)
- Solid SQL skills
- Familiarity with ML frameworks such as PyTorch and TensorFlow
- Experience with Google Cloud Platform or AWS preferred, with BQML or Spark as a plus.
Responsibilities
- Apply causal inference methods including experimentation (A/B testing) as well as observational methods (propensity score matching, difference-in-differences, synthetic controls, etc.) to measure the performance of our models and the impact our models have for our customers.
- Analyze large datasets to support machine learning models, perform feature engineering, and develop and apply machine learning models to our backend and frontend applications.
- Evaluate and validate model performance, using metrics to improve accuracy and reliability in production environments.
- Work with data engineering, product, software engineering, and UX teams to integrate models into workflows, ensuring solutions align with business needs.
- Present analysis and model results to technical and non-technical stakeholders, using data visualizations and clear explanations to convey insights effectively.
Preferred Qualifications
- Experience leading projects or mentoring within data science teams
- Prior work in Martech, SalesTech, or Adtech environments is a plus
- Self-motivated and capable of independent project management
- Analytical mindset with a focus on creating impactful solutions
- Passionate about metrics and data-driven decision-making
- Committed to end-to-end ownership of machine learning products