Launch Potato ยท 4 days ago
Senior Data Scientist
Seattle, WA (remote)
Full-time
Remote
Mid, Senior Level
$110K/yr - $160K/yr
4+ years exp
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Responsibilities
Developing deep personalization models for users and complex optimization algorithms.
Design, implement and continuously improve Multi-Armed Bandit solutions to optimize decisions/options in place of multiple AB-tests.
Utilizing Large Language Models in content personalization across various verticals.
Recommendation systems to serve ads, offers, questions, etc.
Collaborate with stakeholders across the company including but not limited to Analytics, Engineering, Product and Business Leads to improve model infrastructure, tracking and monitoring.
Provide data science support at different project stages, including the implementation of ML solutions by collaborating with Data Engineers and MLOps.
Being hands-on and in-the-weeds in the data, coding part of the solution implementation.
Qualification
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Required
Experience within the performance marketing/lead gen industries.
Professional experience designing, implementing, optimizing, and testing end-to-end Multi-Armed Bandit (MAB) and recommendation systems.
A minimum of 4 years experience in a hands-on, in-the-weeds data science position.
4+ years of related work experience in the field of 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, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc.).
Structure and clarify any ambiguity for the team, i.e., divide complex projects into sprints and coordinate implementation across multiple teams and individuals.
Experience creating ML solutions within cloud services (AWS/GCP).
Experience with ML model development lifecycle.
Experience with data visualization (preferably Looker).
Experience managing a team of data scientists and machine learning researchers (including career development).
Ability to communicate clearly, think independently, provide direction, and effectively communicate with technical and non-technical stakeholders.
Preferred
Experience with LLMs and Deep learning models to develop business and data science solutions.
Benefits
Profit-sharing bonus
Competitive benefits
Company
Launch Potato
As The Discovery and Conversion Company, we connect advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Ryan Van Horn
CTO / Founder
Apurva Shah
Chief Financial Officer
Company data provided by crunchbase
