Overview
Remote
On Site
140k - 180k
Full Time
Skills
User Experience
Product Design
Operational Risk
Management
Cross-functional Team
Data Science
Machine Learning (ML)
Python
R
SQL
Real-time
Reporting
Forecasting
Decision-making
Dashboard
Collaboration
SAP BASIS
Job Details
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
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
- 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
- 50% Model Development & Feature Engineering
- 30% Real-Time Monitoring & Risk Detection
- 20% Internal Tooling & Stakeholder Reporting
- 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
- Performance-based bonus
- Competitive salary with equity potential
- Comprehensive salary with equity potential
- Comprehensive health benefits
- Unlimited PTO and flexible work arrangements
- Remote-first team with a collaborative culture
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.