Ubisoft Data Scientist, Audience Analytics \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Data Scientist, Audience Analytics Full-time Contract: Permanent Work flexibility: Hybrid Job Description The Data Scientist, Audience Analytics, will be responsible for gathering and analyzing customer data of a game portfolio, developing machine learning algorithms, working closely with business stakeholders, to provide clear insights about consumer behaviors, deliver strategic recommendations and build audience centric tools. You will be the main point of contact of marketing teams, translating their need into analytical and scientific projects, and using machine learning methods to provide them insights and support them all along the life of the game, on different business needs. Audience Analytics team works with the business stakeholders such as CRM, Paid Media, AAA brand, Live brand and F2P teams located worldwide. Our goal is to support business stakeholders and strategic decisions by delivering them analytical insights about the consumer database and providing them a clear and granular snapshot of our players at a game, brand or transversal level. What you'll do Create, manage and distribute data and insights utilizing analytics tools. Analyze customer data to gather knowledge, generate insights, create value and support decision-making. Lead the development of data science initiatives that leverage audiences, support business objectives and improve customer knowledge Build and deploy machine learning models to predict player behavior Be the main point of contact of the stakeholder teams; Understand the brand and marketing objectives and the major initiatives; Identify the most relevant methodology to answer the need; Deliver insight; Support stakeholders in leveraging DS solutions Contribute innovative ideas and best practices to enhance data science methodologies within the team. Qualifications What you'll bring Proficient in Python & SQL Experience working with lakehouse data platform (Databricks, Snowflake) Strong analytical and synthesis skills; ability to analyze raw data, draw conclusions, and develop actionable and strategic recommendations Machine Learning Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Proactivity, critical thinking and creativity with data A highly collaborative spirit + excellent communication, interpersonal, and presentation skills Excellent communication skills Fluency in both French and English Additional Information Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassins Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If youre passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown! We embrace a hybrid work model helping you stay connected with your team and aligned with business priorities, while giving you the opportunity to maintain your work-life balance. Note, that some roles are fully office-based and are not eligible for hybrid work. I'm interested I'm interested I'm interested share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Other jobs at Ubisoft Production Knowledge Management Specialist - CDD (F/H/NB) ) Paris, France User Researcher - CDD (H/F/NB)) Paris, France Gestionnaire de stratégie CRM Montreal, Canada Show all jobs Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Data Scientist, Audience Analytics Montreal, QC, Canada Full-time I'm interested I'm interested

The role requires proficiency in Python and SQL, along with experience using lakehouse data platforms such as Databricks and Snowflake. Strong analytical and synthesis skills are necessary to analyze raw data, draw conclusions, and develop actionable recommendations. Knowledge of machine learning principles, technologies, and algorithms is essential for developing and implementing related systems. The candidate should also possess proactivity, critical thinking, creativity with data, and excellent communication and interpersonal skills. Fluency in both French and English is also required.