Staff Data Scientist

Key Skills

Aartificial intelligence, Algorithms, Apache Hive, AWS, B2B, Data science techniques, Database, Google Cloud Platform (GCP), Jupyter Notebook, Keras software library, Machine learning techniques, Natural Language Toolkit - NLTK, NoSQL, NumPy, Optimization, Pandas, Python Programming, Scikit-learn, SparkML, SQL, TensorFlow

Job Description

About the Role:

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.

The compensation range for this role is: $169,374 - $272,290

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

What you'll be doing:

• 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.

What we're looking for:

• 3+ 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

Nice to have skills:

• Experience leading teams and projects
• Experience with Google Cloud or AWS
• Prior experience in Martech/Adtech space
• Scala proficiency

Nice to have qualities:

• You are highly self-motivated and able to operate with significant autonomy
• You are able to break down complex problems and come up with simple innovative solutions
• You are able to focus on the goals without getting lost in the details
• Data is your thing, you love metrics and use metrics to drive projects
• You are willing to build end-to-end and own the machine learning products you build or help build

Benefits:

Our benefits include options for up to 100% paid Medical and Vision premiums for employees, flexible PTO policy, no internal meeting Fridays, Modern Health mental wellness platform, and 11 paid holidays and 2 additional weeks where all Demandbase employees take off (the week of July 4th and the week of Thanksgiving). Plus 401(k), short-term/long-term disability, life insura