Machine Learning Researcher: Data Science Innovation
1 week ago
Launch Potato is a forward-thinking digital media company with a diverse portfolio of brands and technologies. As a leading connector of advertisers to customers, we excel in bridging awareness to consideration to purchase across various industries.
Salary InformationThe base salary for this role is estimated at $137,500 per year, paid bi-monthly, making it a competitive offer in the market.
About the RoleThis position will heavily focus on developing innovative machine learning models that drive significant consumer impact while increasing revenue. The successful candidate will play a pivotal role in the growth of our data science team, working closely with stakeholders to improve model infrastructure, tracking, and monitoring.
- Innovate and design ML solutions to various business problems such as Multi-Armed Bandit optimization, Large Language Model-based content personalization, and recommendation systems.
- Collaborate with cross-functional teams, including Analytics, Engineering, Product, and Business Intelligence, to enhance model performance and scalability.
- Develop deep personalization models for users and complex optimization algorithms to bridge customer experiences with new products/services.
To succeed in this role, you should possess:
- 4+ years of experience in Data Science & Machine Learning.
- 2+ years of experience in the Marketing/Advertising Industry.
- Solid background in Machine Learning and Statistics.
- Professional experience designing and implementing Multi-Armed Bandit (MAB) solutions and recommendation systems.
- Proficiency in SQL and Python, as well as working with data science tools like git, Kubernetes, Docker, etc.
This role offers a comprehensive compensation package, including a base salary, profit-sharing bonus, and competitive benefits. As a performance-driven company, future increases will be based on individual and company performance, not annual cost-of-living adjustments.
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