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Our client is a rapidly growing consumer tech company operating at the intersection of data, gaming, and entertainment. As they expand their product offerings and real-time capabilities, they're looking to bring on a skilled Data Scientist to help power their next generation of predictive systems. The company operates in a fast-moving, high-volume environment where data is critical to user experience, product design, and operational risk management. In this role, you'll be working with a cross-functional team to build and deploy data models that influence key product and business decisions. You'll take ownership of transforming raw data into insights and guardrails, contributing directly to platform integrity and performance. If you enjoy working close to the action, where real-time decisions matter, and your work gets put into production fast, this is a great opportunity for you. Required Skills & Experience

3-5 years in a Data Science, ML, or similar technical role
Proficient in Python, R, SQL and BigQuery, with experience developing production-ready models
Strong understanding of time-sensitive or high-frequency data environments
Comfort navigating ambiguous or evolving product spaces
Experience working independently across full project cycles

What You Will Be Doing Tech Breakdown

50% Model Development & Feature Engineering
30% Real-Time Monitoring & Risk Detection
20% Internal Tooling & Stakeholder Reporting

Daily Responsibilities

Build and optimize pipelines that convert raw events into features for downstream use
Develop and iterate models used for forecasting, segmentation, and operational decision-making
Implement safeguards and monitoring systems to catch irregular patterns or exposures early
Create visibility for internal teams through dashboards, reports, and alerts
Collaborate with engineers and product stakeholders to embed intelligence across systems

The Offer