Principal Data Scientist, Targeting

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Are you ready to become a shareholder and join the engineering team filled with creatives and data scientists, consultants and artists, to help redefine marketing?

As a Principal Data Scientist, you will:

• Design and develop a world-class Targeting user profiling models and pipeline
• Collaborate closely and build rapport with architect and engineering teams
• Take full ownership of production deployments while adhering to best practices for CI/CD
• Quickly prototype hypotheses
• Participate in design discussions, influence product roadmap, and take ownership and responsibility over new projects.
• Build highly scalable, available, fault-tolerant data processing systems using AWS technologies, Spark, and other ML technologies. These systems should handle batch and real-time data processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse.
• Low level systems debugging, performance measurement & optimization on large production clusters.
• Maintain and support existing platforms and evolve to newer technology stacks and architectures.

You have:

• Experience with machine learning, natural language processing solutions in software development.
• Experience developing and/or training models using machine learning technologies (e.g., TensorFlow/Keras, PyTorch).
• Direct experience in implementing, deployment, and optimizing ML workloads.
• Experience developing and debugging code in Python.
• Experience with exploratory data analysis, model development, and auxiliary practical concerns in production Machine Learning systems.
• Experience with deep learning architectures (e.g.,DNNs, Transformers, BERT, etc.).
• Ability to lead the design and implementation of AI-based solutions, web services, and debugging tools.
• Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables.
• 5+ years professional experience as a data scientist.
• 3+ years of experience in a technical leadership role; overseeing projects.
• Master's degree or PhD in Computer Science or related technical field.
• Highly Preferred: Experience in machine learning of User Profiling system.
• Highly Preferred: Experience writing tools and pipelines for collecting, labeling, augmenting, and cleaning training data for user profiling ML models.

You are:

• Skilled and knowledgeable on user profiling techniques and advancements
• Passionate about the Targeting ecosystem, with willingness to learn about and adopt new concepts
• Excellent at problem solving through insightful data analysis and logical deduction
• A strong cross functional team player, working with product and architect to design and implement ML models.
• An effective communicator with a solution-oriented mindset.