Senior Data Scientist

This Senior Machine Learning Engineer role works on dynamic pricing and recommender systems use cases in games, focusing on tabular machine learning with neural networks and gradient-boosted decision trees. The engineer builds and improves training pipelines, monitors model performance, diagnoses missed outcomes, and collaborates with monetization and product teams to plan A/B tests. The role requires hands-on training and evaluation of tabular models with frameworks like PyTorch, TensorFlow, XGBoost, or CatBoost.

This role applies statistical and machine learning techniques to analyze player behavior, predict churn, and optimize game economies. The scientist will build predictive models, run experiments, and collaborate with game designers and product managers. Strong proficiency in Python and ML frameworks is required.

This role leads the data science and AI team, driving the development of advanced machine learning models for player personalization, dynamic difficulty adjustment, and fraud detection. Responsibilities include setting the technical roadmap, mentoring scientists, and collaborating with engineering to deploy models at scale. The ideal candidate has deep expertise in ML and experience leading AI initiatives in gaming or similar industries.

Leads a team of data scientists, setting technical direction and mentoring team members. Drives the development and deployment of advanced analytics and machine learning models, collaborating with stakeholders to deliver data-driven solutions. Requires strong leadership and deep technical expertise in ML and analytics.

This role expands and optimizes TripleLift's data pipeline architecture, building infrastructure for optimal extraction, transformation, and loading from diverse data sources. The Senior Data Engineer works with Spark, EMR, Kafka, and other big data technologies, supporting software engineers, product managers, and data scientists on data initiatives. The position requires deep experience with big data and ML pipelines in production at scale, strong SQL, and expertise in Python, Scala, or Java.

This role drives commercial success across the UK and key international markets, championing TripleLift's Creative SSP proposition to top-tier agency holding companies and brand advertisers. The Sales Manager leverages existing agency relationships to convert programmatic buyers from Native solutions into Video, Display, and CTV products, while actively hunting for new business. The position requires deep programmatic ecosystem knowledge and pre-existing relationships with IPG, Dentsu, or Havas networks.

This role owns monetization strategy and performance outcomes for a portfolio of strategic Tier 1-2 publisher accounts, serving as the primary relationship lead. The Senior Account Manager translates publisher objectives into actionable strategies, leads optimization initiatives, and partners cross-functionally with Technical Operations, Product, and Supply teams. The position requires advanced programmatic ecosystem knowledge, strong analytical skills, and the ability to lead QBRs and present strategic recommendations.