Senior Data Scientist

Kargo creates breakthrough cross-screen ad experiences for the world’s leading brands and publishers. Every day, our 600+ employees bring the power of their creativity and diversity to radically raise the bar on what mobile, CTV, AI, social, and eCommerce can do to build businesses. Now 20 years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Humble brag: In 2025, Kargo was recognized as a Best Place to Work by Built In.

Who We Hire

Success takes all kinds. Diversity describes our workforce. Inclusion defines our culture. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, national origin, protected veteran status, disability or other legally protected status. Individuals with disabilities are provided reasonable accommodation to participate in the job application process, perform essential job functions, and receive other benefits and privileges of employment. 

Title: Senior Data Scientist

Job Type: Permanent
Job Location:  Ireland - Waterford/Remote

The Opportunity

Kargo is looking for a Senior Data Scientist eager to make an impact by conducting real, hands-on research and development. Candidates must possess exceptional knowledge of mathematical and statistical methods as well as a proven ability to solve complex problems. A desire to work with large datasets and apply creative thinking is required. Kargo is a place where data scientists and engineers are passionate about their work, model building, data, and technology.

This role will help the Data Science team solve the unsolved. Using expertise in analytics and statistics, they will create new algorithms and data products that aid in advertising decisions and outcomes.

The Daily To-Do

• 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.

Qualifications 

• 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. Applied Mathematics or Statistics is preferred.
• A strategic thinker with a deep interest in advertising, media, analytics, and/or marketing.
• Highly organized and detail-oriented, capable of managing multiple tasks at once.
• A strong communicator, adept at engaging both technical and non-technical audiences.
• Able to work independently and as part of a team.
• Naturally curious, resourceful, and motivated.
• Experienced in working with relational databases (SQL required).
• Proficient in R, Python, or Scala.
• Skilled in research and experimental design, with experience in optimization techniques.
• Knowledgeable in machine learning algorithms and familiar with one or more popular packages (e.g., Pandas, NumPy, scikit-learn, SciPy).
• Experience with TensorFlow, PyTorch, or Keras for building neural networks.
• Comfortable with learning and deploying new techniques, ranging from optimization and predictive modeling to graph theory and causal inference.
• Nice to have: Experience with cloud computing (e.g., Databricks, AWS, GCP, Azure) and the ability to scale data science solutions for very large datasets. Familiarity with MLflow or TensorFlow Serving for deploying and monitoring machine learning models.

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