Demandbase is seeking to improve the B2B buyer journey through impactful machine learning projects.
Requirements
- Experience with experimentation and causal inference packages such as EconML, CausalImpact
- 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 Scala is a plus
- Experience with Google Cloud Platform or AWS preferred, with BQML or Spark as a plus.
Responsibilities
- Measure Impact and ROI: 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.
- Data Exploration, Feature Engineering, and Model Building: Analyze large datasets to support machine learning models, perform feature engineering, and develop and apply machine learning models to our backend and frontend applications.
- Model Performance and Validation: Evaluate and validate model performance, using metrics to improve accuracy and reliability in production environments.
- Cross-functional Collaboration: Work with data engineering, product, software engineering, and UX teams to integrate models into workflows, ensuring solutions align with business needs.
- Communication of Findings: Present analysis and model results to technical and non-technical stakeholders, using data visualizations and clear explanations to convey insights effectively.
- Support Experiments: Set up and support backend and front-end A/B tests to measure performance and support model development and rollout decisions.
Other
- 5+ 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.
- Leadership Experience: Experience leading projects or mentoring within data science teams.
- Industry Experience: Prior work in Martech, SalesTech, or Adtech environments is a plus.
- Personal Attributes: 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
