Staff Data Scientist

November 18, 2023

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Description

Join us! The Classy team is searching for our next Staff Data Scientist to bolster our product analytics efforts and elevate our data science operations across the organization. You will collaborate with an accomplished team of individuals to drive impact for our users and our business.

Requirements

• 7+ years of experience building data analytics and science projects • Experience with a broad set of statistical and machine learning methods • Expertise in formulating and driving multivariate and A/B testing • Advanced experience using Python or R for statistical analysis, predictive analytics, and/or machine learning • Deep experience with SQL for writing scalable data transformations • Data visualization skills and experience with BI tools (Tableau/Looker) • Strong presentation skills, being able to author and present insights to the leadership team • Knowledge of event tracking, database architecture, and Machine Learning is a plus • Master's degree in a quantitative field is preferred

Benefits

• Market competitive pay • Rich healthcare benefits including employer paid premiums for medical/dental/vision • 401(k) retirement plan with company matching • Hybrid workplace with fully remote flexibility • Monetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses • A variety of mental and wellness programs to support employees • Generous paid parental leave and family planning stipend • Supportive time off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday • Learning & development and recognition programs • Gives Back Program where employees can nominate a fundraiser every month for a donation from the company • Inclusion, diversity, equity, and belonging initiatives • Employee resource groups • Work with a purpose and make an impact on a global scale • Fun and supportive team • Great Place to Work certified • Growth opportunities • Commitment to sustainability • Dedication to diversity

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