Senior Data Scientist

Summary

Join Kargo as a Senior Data Scientist and contribute to groundbreaking cross-screen ad experiences. This permanent role, based in Waterford, Ireland (with remote options), involves hands-on research and development using advanced mathematical and statistical methods. You will solve complex problems, create new algorithms and data products, and collaborate with cross-functional teams. The ideal candidate possesses strong analytical and communication skills, experience with large datasets, and proficiency in programming languages like R, Python, or Scala. This position offers the opportunity to work on challenging projects and contribute to Kargo's innovative advertising solutions.

Requirements

• Be a quantitative problem-solver with strong storytelling skills, capable of interpreting and visualizing data in a business context, ideally with an advanced degree in a STEM (science, technology, engineering, and mathematics) field
• Be a strategic thinker with a deep interest in advertising, media, analytics, and/or marketing
• Be highly organized and detail-oriented, capable of managing multiple tasks at once
• Be a strong communicator, adept at engaging both technical and non-technical audiences
• Be able to work independently and as part of a team
• Be naturally curious, resourceful, and motivated
• Have experience in working with relational databases (SQL required)
• Be proficient in R, Python, or Scala
• Be skilled in research and experimental design, with experience in optimization techniques
• Be knowledgeable in machine learning algorithms and familiar with one or more popular packages (e.g., Pandas, NumPy, scikit-learn, SciPy)
• Have experience with TensorFlow, PyTorch, or Keras for building neural networks
• Be comfortable with learning and deploying new techniques, ranging from optimization and predictive modeling to graph theory and causal inference

Responsibilities

• Dig into Kargo’s unique product challenges and go beyond generic, out-of-the-box algorithms to think critically and creatively about Kargo’s business problems and product needs
• Participate in the full software development cycle: design, develop, QA, deploy, experiment, and analyze
• Collaborate across disciplines to find technical solutions to complex challenges and share results with non-technical audiences
• Write production-level code to perform experiments, prototype new data products, and apply machine learning algorithms to very large datasets

Preferred Qualifications

• Have experience with cloud computing (e.g., Databricks, AWS, GCP, Azure) and the ability to scale data science solutions for very large datasets
• Have familiarity with MLflow or TensorFlow Serving for deploying and monitoring machine learning models