Senior Data Scientist - Behavioral Modeling

October 8

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Description

β€’ At PrizePicks, we are the fastest growing sports company in North America β€’ Seeking a Senior Data Scientist with 4+ years of experience β€’ Collaborate closely with fellow data scientists, reporting analysts, and cross-departmental leaders β€’ Your contributions will be instrumental in driving revenue growth, enhancing marketing efficiency, and improving customer retention efforts β€’ Join us in leveraging data to unlock new opportunities and elevate our business to the next level! β€’ Develop custom data models and algorithms to apply to data sets, focusing on user segmentation β€’ Conduct Exploratory Data Analysis, to gain valuable insights and inform the selection of relevant features to include in your clustering models β€’ Interact with the Marketing and Customer Insights teams to gather real user feedback to incorporate into your segmentation models β€’ Develop processes and tools to monitor and analyze model performance and data accuracy β€’ Draw actionable insights from your models and interact with stakeholders to foster data-driven decisions

Requirements

β€’ A minimum of 4 years of experience in developing scalable, production-level segmentation models β€’ Expertise in both supervised and unsupervised machine learning techniques and methodologies β€’ Advanced understanding of machine learning, data analysis, and statistical modeling β€’ Proficiency in statistical software applications, particularly Python or R β€’ Experience with relational databases, such as PostgreSQL β€’ Exceptional analytical and problem-solving abilities

Benefits

β€’ Company-subsidized medical, dental, & vision plans β€’ 401(k) plan with company match β€’ Long-term incentives and bi-annual bonus β€’ Uncapped PTO to encourage a healthy work/life balance (2-week MINIMUM required!) β€’ Generous paid leave programs, including 16-week paid parental leave and disability benefits β€’ Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked β€’ Company-wide in-person events and team outings β€’ Lifestyle enhancement program β€’ Company equipment provided (Windows & Mac options) β€’ Annual performance reviews with opportunities for growth and career development

Apply Now

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