Applied Scientist

Summary

Join Demandbase’s ABX Cloud 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 pipelines. The position requires experience in data science or applied machine learning, a relevant degree, and strong proficiency in Python and ML libraries. Demandbase offers a comprehensive benefits package including health insurance, paid time off, retirement benefits, and more.

Requirements

• 1-2+ 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

• Up to 100% paid premiums for Medical and Vision coverage
• Range of mental wellness resources, including access to Modern Health
• Flexible PTO policy
• 15 paid holidays in 2025—including a three-day break around July 4th and a full week off for Thanksgiving
• No Internal Meetings Fridays
• Competitive 401(k) plan
• Short-term and long-term disability coverage
• Life insurance