YOUR ROLE This role will heavily focus on buildingmachine learning models. This is NOT an engineering / dataengineering position.MUST HAVE :Experience within the performancemarketing / lead gen industries. Professional experience designing,implementing, optimizing, and testing end-to-end Multi-Armed Bandit(MAB) and recommendation systems.EXPERIENCE :At least 4 yearsexperience in a hands-on, in-the-weeds data science position. Youwill develop deep personalization models for our users and complexoptimization algorithms to bridge our customer experiences with newproducts / services.Your direct contribution will impact how weconnect hundreds of thousands of customers to hundreds ofadvertisers together daily and will drive significant consumerimpact while increasing revenue.You will play a pivotal role inthe growth of our data science team. You will be an instrumentalresource as we build a team of data scientists and machine learningengineers that can increase customer engagement and stickiness onour sites while improving the quality of the leads to our partners.This is an extremely hands-on and in-the-weeds Data Science rolewhere you will be heavily immersed in the data and coding part ofthe solution implementation.You will design and overseeintegrating state-of-the-art machine learning solutions across thecompany’s products. This role will be responsible for strategicallyplanning Machine Learning initiatives with the Product,Engineering, Performance, and Business Intelligence teams,analyzing potential impact, and prioritizing those projects.SUCCESS LOOKS LIKE - Innovate, create, and design ML solutions tovarious business problems such as : - Design, implement, andcontinuously improve Multi-Armed Bandit solutions to optimizedecisions / options in place of multiple AB tests.Utilizing LargeLanguage Models in content personalization across variousverticals. - Recommendation systems to serve ads, offers,questions, etc.Collaborate with stakeholders across the companyincluding but not limited to Analytics, Engineering, Product andBusiness Leads to improve model infrastructure, tracking andmonitoring.Provide data science support at different projectstages, including implementing ML solutions by collaborating withData Engineers and MLOps.Being hands-on and in-the-weeds in thedata, coding part of the solution implementation. WHAT YOU NEED TOSUCCEED - 4+ years of related work experience in Data Science &Machine learning.2+ years of experience in theMarketing / Advertising Industry. - Solid background in MachineLearning and Statistics. - Professional experience designing andimplementing Multi-Armed Bandit (MAB) solutions and recommendationsystems.Proficiency in SQL and Python, as well as working withdata science tools (e.g., git, Kubernetes, Docker, etc.). -Structure and clarify any ambiguity for the team, i.e., dividecomplex projects into sprints and coordinate implementation acrossmultiple teams and individuals. - Experience creating ML solutionswithin cloud services (AWS / GCP).Experience with ML modeldevelopment lifecycle. - Experience with data visualization(preferably Looker). - Experience managing a team of datascientists and machine learning researchers (including careerdevelopment).Ability to communicate clearly, thinkindependently, provide direction, and effectively communicate withtechnical and non-technical stakeholders.NICE TO HAVES -Experience with LLMs and Deep learning models to develop businessand data science solutions directly impacting revenue and / ormargin. #J-18808-Ljbffr

Multi-armed_bandit, Recommendation Systems, Machine Learning, Statistics, SQL, Python, Data Science, ML model development lifecycle, Data visualization, Team management