Data Scientist

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🕒 March 2

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Almedia

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🎮 Gaming

Advertising • Gaming • Marketing

Almedia is a next-generation gamified promotion platform that aims to deliver maximum value to both advertisers and consumers. By leveraging a highly improved system, Almedia boosts user acquisition, revenue, and branding through innovative, data-driven advertising solutions. The company's platform, Freecash. com, helps leading brands acquire new customers and gain accurate insights using a sophisticated reward system. This system supports multi-tier rewards and features game quests that enhance gaming campaigns by providing quests of increasing difficulty and rewards. Almedia's goal is to attract and motivate high-quality users to engage with digital offers, surveys, or ads, making it a powerful tool for marketers looking to connect with a highly engaged audience.

📋 Description

• Design and implementation of machine learning models which personalise recommendations for users, whilst optimising for performance, engagement and conversion within gaming user acquisition. • Build and optimise our incentives reward structures focusing on motivating and retaining users whilst improving in-app ROAS. • Collaborate with data analytics and engineering to improve data structures, visibility, and traceability. • Establish technical best practices for the team, including documentation, data product ownership, measurement plans, and experimentation frameworks. • Define and help implement KPIs that align team output with business goals, ensuring every model, dashboard, and analysis has a clear purpose and outcome. • Mentor and support both data scientists and analytics engineers, driving high standards and helping the team scale effectively.

🎯 Requirements

• Strong experience building and deploying machine learning models in a product-driven environment, ideally in Gaming, AdTech, gambling or user-incentive systems. • Deep statistical and modelling knowledge for complex experimentation design, uplift modelling and causal impact estimation of counterfactual outcomes. • Strong understanding of data engineering workflows and modern data stack tools (e.g. DBT, Airflow, K8s). • Proficiency in Python and SQL; experience with cloud platforms (GCP preferred) and Terraform. • Excellent communication and leadership skills, with the ability to drive clarity, create structure, and bring stakeholders on board.

🏖️ Benefits

• Generous bonus scheme to ensure great, proactive work is valued. • Participate in our virtual equity program, ensuring our success is shared collectively. • Fostering talent and providing opportunities for growth.