Applied Scientist

Summary

Join Demandbase’s Central Data Science team as an Applied Scientist and leverage machine learning to enhance the B2B buyer journey. You will design, implement, and productize data-driven models to deliver insights, optimize ad targeting, and personalize experiences. This role involves collaborating with product managers, engineers, and designers to build and refine ML models, focusing on Scala for data pipeline optimization. The position requires 5+ years of experience in data science or applied machine learning, a relevant degree, and strong proficiency in Python and ML libraries. Demandbase offers competitive compensation, comprehensive benefits, and a commitment to diversity and inclusion.

Requirements

• 5+ years in data science or applied machine learning roles, with demonstrated experience in building and deploying models
• Degree in Statistics, Computer Science, Machine Learning, or a related field (e.g., Mathematics, Physics)
• Proven experience applying ML to at least one area: Ranking & Recommendation Systems, Ad Optimization, Real-Time Bidding Algorithms, Reinforcement Learning, A/B Testing and Experimentation
• Strong proficiency in Python and ML libraries (e.g., Scikit-Learn, Pandas, Numpy)
• Familiarity with ML frameworks such as TensorFlow, Keras, PyTorch, and SparkML
• Solid SQL and No-SQL skills

Responsibilities

• Develop and apply machine learning algorithms to optimize key performance indicators across the customer journey
• Extract actionable insights from large datasets and engineer features that enhance model accuracy and relevance
• Partner with data engineering, product management, and UX teams to translate data-driven models into production-ready solutions
• Work alongside engineers to operationalize ML models, ensuring performance consistency and effectiveness in production environments
• Stay current with ML research and adapt new methodologies to solve complex business problems
• Use ML to rank and prioritize accounts within the B2B buying journey
• Develop models to capture intent signals that drive real-time sales and marketing actions
• Build models to predict engagement and optimize ad campaigns using data from tens of billions of daily auctions

Preferred Qualifications

• Experience with Scala to optimize data workflows and pipelines
• Experience with Google Cloud Platform or AWS, with BQML or Spark
• Experience leading projects or mentoring within data science teams
• Prior work in Martech or Adtech environments

Benefits

• Options for up to 100% paid Medical and Vision premiums for employees
• Flexible PTO policy
• No internal meetings Fridays
• Access to Modern Health and other mental wellness resources
• Eight paid holidays
• Two additional week-long breaks when all Demandbase employees in the US take time off simultaneously (the week of July 4th and the week of Thanksgiving)
• 401(k)
• Short-term/long-term disability
• Life insurance