Senior Data Scientist - Performance Marketing

October 31

Apply Now

Receive Emails with Similar Jobs

Launch Potato

WebsiteLinkedInAll Job Openings

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

51 - 200 employees

Founded 2015

📱 Media

👥 B2C

Description

• This role will heavily focus on building machine learning models. This is NOT an engineering/data engineering position. • MUST HAVE: 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. • At least 4 years experience in a hands-on, in-the-weeds data science position. • You will develop deep personalization models for our users and complex optimization algorithms to bridge our customer experiences with new products/services. • Your direct contribution will impact how we connect hundreds of thousands of customers to hundreds of advertisers together daily and will drive significant consumer impact while increasing revenue. • You will play a pivotal role in the growth of our data science team. • You will be an instrumental resource as we 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. • You will design and oversee integrating state-of-the-art machine learning solutions across the company’s products. • This role will be responsible for strategically planning Machine Learning initiatives with the Product, Engineering, Performance, and Business Intelligence teams, analyzing potential impact, and prioritizing those projects. • 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. • 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 implementing 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.

Requirements

• 4+ years of related work 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 (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.