12 senior data scientist jobs found

Reporting to the Head of Quants you will be working closely with your colleagues in Quants but also various product owners, developers and traders company wide. Our department is responsible for creating predictive models for both pre-match and in-play betting markets in various sports. This typically requires cleaning up, visualizing, analyzing and interpreting relevant data, as well as implementing the created models in Java and testing them. Publishing and maintaining these Java libraries is also one of our responsibilities. Furthermore, we are providing various data analysis or generally math related tasks on demand.   THE CHALLENGE Learn how predictive models look like in a betting context and build models on your own Support the team in maintaining the codebase Analyze/evaluate/optimize existing predictive models as model co-owner Research new methods for future applications YOUR PROFILE Required: Master’s degree or equivalent/higher qualification in one of...

Responsable de Ciencia de Datos Product Madness desarrolla juegos móviles disfrutados por jugadores de todo el mundo. Utilizamos datos, tecnología y creatividad para desarrollar experiencias de juego atractivas y tomar decisiones empresariales informadas. Nuestros equipos trabajan juntos para resolver problemas, compartir ideas y mejorar nuestros juegos. Únete a nosotros y contribuye al desarrollo de experiencias de juego móvil. El Puesto Como Responsable de Ciencia de Datos, realizarás análisis estadísticos, modelado predictivo y aprendizaje automático. Entenderás el comportamiento de los jugadores, abordarás problemas empresariales y mejorarás las experiencias de juego. Te encargarás de las iniciativas de aprendizaje automático desde la planificación inicial hasta el desarrollo, evaluación e implementación. Trabajando con grandes conjuntos de datos, desarrollarás modelos y herramientas analíticas que apoyen el juego, la participación de los jugadores, la retención y la...

Product Madness builds mobile games enjoyed by players across the globe. We use data, technology, and creativity to develop engaging gaming experiences and make informed business decisions. Our teams work together to tackle problems, share ideas, and improve our games. Join us and contribute to the development of mobile gaming experiences. The Role In the role of a Lead Data Scientist, you will conduct statistical analysis, predictive modelling, and machine learning. You will understand player behaviour, tackle business problems, and improve gaming experiences. You will handle machine learning initiatives from initial planning through development, evaluation, and implementation. Working with large datasets, you will develop models and analytical tools that support gameplay, player engagement, retention, and monetisation. You will work closely with game developers, data analysts, product managers, and game operations teams. You will share findings, recommend improvements, and...

At Product Madness , we create mobile games that bring entertainment to players around the world. Data plays an important role in understanding player needs, improving gaming experiences, and making informed business decisions. Join our collaborative team, where your ideas and expertise will help us explore new opportunities, solve meaningful challenges, and shape the future of mobile gaming. The Role As a Data Scientist at Product Madness, you will use data analysis, forecasting, and predictive modelling to better understand player behaviour, solve business challenges, and improve gaming experiences. You will contribute to projects dedicated to player involvement, retention, and revenue. You will also help develop analytical tools and machine learning solutions that support informed decisions and create more personalised experiences for our players. Working with a variety of datasets, you will take ownership of clearly defined analytical and modelling tasks while...

Are you ready to join a world-class team and make a significant impact on the gaming industry? At Aristocrat, we aim to bring happiness to life through the power of play. We seek a Principal Data Scientist to help us reach our ambitious goals. You will have a vital role in enhancing gameplay, boosting player engagement, and improving business outcomes with your advanced data expertise. This opportunity allows you to work on innovative projects, collaborate with diverse teams, and guide critical initiatives that will develop the future of our leading games. What You'll Do Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement. Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes. Lead the modeling framework for complex systems, guaranteeing comprehensive...

Data Scientist en Product Madness En Product Madness, creamos juegos móviles que entretienen a jugadores de todo el mundo. Los datos juegan un papel importante en la comprensión de las necesidades de los jugadores, la mejora de las experiencias de juego y la toma de decisiones empresariales informadas. Únete a nuestro equipo colaborativo, donde tus ideas y experiencia nos ayudarán a explorar nuevas oportunidades, resolver desafíos significativos y dar forma al futuro de los juegos móviles. El Puesto Como Data Scientist en Product Madness, utilizarás análisis de datos, pronósticos y modelos predictivos para entender mejor el comportamiento de los jugadores, resolver desafíos empresariales y mejorar las experiencias de juego. Contribuirás a proyectos dedicados a la participación, retención y generación de ingresos de los jugadores. También ayudarás a desarrollar herramientas analíticas y soluciones de aprendizaje automático que apoyen decisiones informadas y creen experiencias...

As a Senior Data Analyst on our Growth team, you will play a pivotal role in driving our marketing performance to new heights. You will collaborate closely with User Acquisition and Growth partners to analyze data, find opportunities, and deliver actionable insights. Your work will empower strategic business decisions and improve player experiences. What You'll Do Partner closely with UA and Growth collaborators to understand performance, investigate business questions, and provide actionable recommendations. Lead analytical projects end-to-end, from problem definition and data exploration through to insights and collaborator communication. Own and evolve the business logic and analytical requirements of Growth data models, ensuring they accurately represent how the business measures performance. Act as a key collaborator with Data Engineering, translating business and analytical needs into clear data requirements and validating delivered solutions. Proactively identify and...

We are looking for a GameOps & MarCom Associate to join our team. This role combines data analysis and customer engagement optimisation with the hands-on execution of CRM communications and campaigns, with an approximately 50/50 split between the two areas. 1. Data Analysis & Customer Engagement Optimisation Use data to help us better understand our users and identify opportunities to improve engagement, monetisation, and overall performance. You will work with large and complex datasets, supporting the full data journey — from extracting and analysing information to reporting on results and turning insights into practical recommendations. You’ll work closely with the wider team to understand user behaviour, measure the impact of engagement activities, and identify opportunities for optimisation. 2. CRM Communications & Campaign Operations Manage the day-to-day execution of outbound communications to our users, ensuring campaigns are well planned, correctly...

Product Madness owns the mobile gaming industry by developing engaging, ground-breaking gaming experiences. We value data’s role in improving player experiences and guiding strategic business decisions. Join our innovative, collaborative team and contribute to crafting the future of mobile gaming. As a Senior ML Engineer at Aristocrat, you will work with modern technology that transforms the gaming experience for millions of players. This role plays a vital part in our mission to provide personalized and outstanding gaming experiences through sophisticated ML and AI solutions. If you are driven and passionate about employing technology to bring significant change, this opportunity is for you! What You'll Do Develop production ML solutions: Build, implement, train, evaluate, and optimize machine learning models for prediction, recommendation, personalization, and decision support. Build AI applications: Construct and blend LLM-powered applications, retrieval-augmented generation...

GameOps Manager The Role As a GameOps Manager, you will be a key player in the execution and delivery of a variety of new and live campaigns, in order to improve key monetisation, engagement and retention metrics of our players. Together with the Senior GameOps Manager, you will own the campaign calendar and marketing roadmap to deliver a customer-centric strategy that maximises revenue generated from the app. Ultimately, the team’s objective is to drive the short- to medium-term performance of the game. This will be achieved through campaigns and new GameOps features focused on driving monetisation, engagement uplift, and retention metrics. You will utilise a variety of established practices and activities, including but not limited to: LiveOps execution and optimisation, with input into design In-app engagement events Sales and special offers Lifecycle flows and optimisation Content and feature marketing Out-of-app communications (push notifications, emails,...

ABOUT US:  As a Senior Software Engineer at Sportradar , you will work on the development of Sportradar's data analytics platform and data pipelines to collect, transform, warehouse, and analyze large volumes of sports data and data related to the use of Sportradar's products. You will help develop and support our big data infrastructure, working closely with data scientists and BI developers leveraging the platform for analytics and AI/ML applications.  Our cloud-native platform uses a combination of managed cloud services and cloud-hosted open source frameworks to manage and query 100s of billions of rows of data and run analytics workloads such as machine learning inference and interactive dashboard applications in production effectively and efficiently.   THE CHALLENGE: Design, develop, and run scalable, reliable, and secure data warehousing architectures and data integration/processing pipelines . Data modeling and integration of data for machine learning,...

ABOUT US:  We are looking for a Senior Product Manager – AI & Sports Data to join our Live Data division at Sportradar. This role lives at the heart of what makes sports data powerful – you will be the person who connects real-world sports movements and on-field performance with our AI-driven product suite to create tangible value for the betting industry. Your top priority will be ensuring that Sportradar's strategic investments in AI-powered sports data capabilities translate into measurable commercial outcomes. You will own the product strategy for key AI betting products, driving them from technical innovation to market-ready offerings that exceed client expectations. As part of the Live Data organisation, you will serve as a critical bridge between AI development and business impact. You will define roadmaps in collaboration with AI engineers and data scientists, champion quality and delivery across the full product lifecycle, and work closely with global...