Applied Scientist

Summary

Join Demandbase as a Senior Applied Scientist and contribute to impactful machine learning projects that shape the B2B buyer journey. You will work on projects like account ranking, recommendation systems, intent modeling, and ads optimization. This role requires solid experience in causal inference, including experimentation (A/B testing) and observational methods, statistical modeling, machine learning methods, and time-series analysis. You will collaborate with experienced Data Scientists, Machine Learning Engineers, Applied Scientists, Product Managers, Data Engineers, Software Engineers, Designers, UX Researchers, etc., offering opportunities to apply your casual inference experience and machine learning skills. The position is based in San Francisco, CA, with remote work considered for highly qualified candidates.

Requirements

• Experience : 5+ years in data science or applied machine learning roles, with demonstrated experience in causal inference and building and deploying models
• Education : Graduate degree (M.S. or Ph.D.) in Statistics, Econometrics, Computer Science, Machine Learning, Mathematics or a related field
• Casual Inference and ML Expertise : Proven experience applying casual 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
• 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
• 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

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
• 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
• Real-Time Intent Detection : Develop models to capture intent signals that drive real-time sales and marketing actions
• Support Experiments: Set up and support backend and front-end A/B tests to measure performance and support model development and rollout decisions

Preferred Qualifications

• Experience with ad optimization and real-time bidding algorithms (preferred)
• Experience with Scala is a plus
• Cloud & Data Tool Familiarity : Experience with Google Cloud Platform or AWS preferred, with BQML or Spark as a plus
• Leadership Experience : Experience leading projects or mentoring within data science teams
• Industry Experience : Prior work in Martech, SalesTech, or Adtech environments is a plus

Benefits

• We offer a comprehensive benefits package designed to support your health, well-being, and financial security
• Our employees enjoy up to 100% paid premiums for Medical and Vision coverage, ensuring access to top-tier care for you and your loved ones
• In addition, we provide a range of mental wellness resources, including access to Modern Health, to help support your emotional well-being
• We believe in a healthy work-life harmony, which is why we offer a flexible PTO policy, 15 paid holidays in 2025—including a three-day break around July 4th and a full week off for Thanksgiving—and No Internal Meetings Fridays to give you uninterrupted time to focus on what matters most
• For your financial future, we offer a competitive 401(k) plan, short-term and long-term disability coverage, life insurance, and other valuable benefits to ensure your financial peace of mind