Senior Data Scientist, Demandbase

• 2+ years of data science experience
• Background in Statistics, Computer Science, Machine Learning, Mathematics, Computational Psychology, Operational Research, Physics, or relevant field
• Driven more than one greenfield project from concept to production release
• Proficiency with analytical and database tools (e.g. Jupyter notebooks, Hive, SQL, No-SQL)
• Demonstrated ability to write clean and performant code in Python
• ML Experience
• Experience in at least one of the following categories of ML problems:
• Ranking & Recommendation Systems
• Ad Optimization
• Reinforcement learning
• Real-time bidding algorithms
• Experimentation (A/B testing)
• ML libraries and frameworks
• Scikit-learn / Pandas / Numpy / NLTK / etc
• Keras
• TensorFlow
• PyTorch
• BQML
• SparkML

Desirable

• You will be a member of Demandbase’s Central Data Science team that drives product innovation and is responsible for all ML/AI initiatives and projects
• We build and apply ML models at every stage of the B2B buyer’s journey
• Starting from the top of the funnel, Data Scientists build account rank models to score tens of millions of companies and also recommend companies that aren’t yet in their CRM
• Our Data Scientists apply cutting-edge natural language processing algorithms and deep learning models to predict whether a company is interested in our clients' products even before they visit their site
• Once ML-generated account lists are built, we launch campaigns to generate awareness and traffic to target sites
• Our Data Scientists build pacing, pricing, click-through rate, and engagement models using tens of billions of auctions daily to optimize campaign performance
• We build reinforcement learning algorithms to optimize the user experience when potential prospects click on ads/banners and visit our customers’ websites
• Our Data Scientists build real-time intent using time series analysis to trigger an alert for sales after potential prospects share their contact information, to contact prospects when there’s an intent surge
• ML models are a significant differentiator for each of our offerings in the ABM platform, Targeting, Conversion, and Intent products
• Our Data Scientists not only build ML models, but are also substantially involved in productizing the models, and working closely and cross-functionally with data engineering, application, product, and UX design teams to deliver the world’s best account-based marketing and advertising product
• Develop Machine Learning algorithms that optimize and make an immediate business impact on KPIs
• Build, test, and deploy custom ML/AI models and algorithms on large datasets, and develop processes for monitoring and analyzing their performance in production environments
• Communicate algorithms, complex data science methods, and statistical results with technical and non-technical audiences
• Stay current with the latest technology/research and drive innovation
• Below are examples of some of the types of projects you can expect to work on:
• Identification and account intelligence: map billions of IPs and cookies to companies
• Rank accounts in B2B buying journey
• Intent: develop a browsable taxonomy of intent signals