Senior Data Scientist

September 7

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Launch Potato

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Launch Potato’s brands and technologies help customers discover new products and services that make their lives better!

digital marketing • mobile marketing • direct marketing • community building • performance marketing

51 - 200

Description

•This role will heavily focus on building machine learning models. •Experience within the performance marketing/lead gen industries. •You will be developing deep personalization models for our users and complex optimization algorithms to bridge our customer experiences with new products/services. •You will play a pivotal role in the growth of our data science team and will be an instrumental resource as we continue to build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners. •This is an extremely hands-on and in-the-weeds Data Science role where you will be heavily immersed in the data and coding part of the solution implementation. •Success looks like innovate, create, and design ML solutions to various business problems such as: •Design, implement and continuously improve Multi-Armed Bandit solutions to optimize decisions/options in place of multiple AB-tests. •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.

Requirements

•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.

Benefits

•Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. •Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. •Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.