Demandbase is seeking a Senior Data Scientist to contribute to impactful machine learning projects that shape the B2B buyer journey.
Requirements
- Proven experience applying casual inference methods (experimental and observational) as well as ML methods including experimentation (A/B testing), observation studies, statistical modeling, ML methods, ranking & recommendation systems.
- 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 to measure the performance of models and the impact models have for 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 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.
- Ad Optimization and Personalization: Build models and measure their impact in the space of optimizing ad campaigns and real-time bidding.
- Account Intelligence & Scoring: Use ML to rank and prioritize accounts within the B2B buying journey.
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.
