Director of Data Science (100% Remote, Anywhere in USA)
About the position
Responsibilities
• Recruit, develop, mentor and lead teams of data scientists to innovate automation and machine learning applications.
• Design and lead Data Modeling practices and framework, developing and implementing complex models for financial and business decisions.
• Own the entire Data Science strategy across GOBankingRates, prioritizing opportunities with the highest impact on company goals.
• Continue to evolve and expand the EYE Platform to improve digital ad conversion and performance across company KPIs.
• Translate analytical insights into actionable recommendations for business or product improvement, communicating clearly across all levels of the company.
• Drive scalable solutions using available AWS infrastructure.
• Create and track accuracy and performance metrics, both technical and business-related.
• Create, enhance, and maintain technical documentation, presenting it to scientists, engineers, and business leaders.
• Drive best practices on the team, mentoring junior members and fostering a culture of ownership, collaboration, and results.
• Understand business priorities to leverage Data Science capabilities effectively.
Requirements
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
• 5+ years of experience leading high-performing teams in advanced quantitative analyses and statistical modeling.
• 5+ years of hands-on experience in data science, machine learning, and natural language processing (NLP).
• Strong background in digital media marketing and developing methodologies to enhance digital advertising metrics.
• Proficient in translating data analytics into business enhancements with excellent communication skills.
• Experience driving scalable solutions using AWS infrastructure.
Nice-to-haves
• Growth mindset and passion for staying updated with AI/ML developments.
• Experience in refining processes with new data inputs and model improvements.
Benefits
• 100% Remote
• Competitive salary with excellent growth opportunity
• Medical, dental, and vision plans with heavy employer contribution
• Paid maternity and paternity leave programs
• Paid vacation, sick days, and holidays
• Company funding for outside classes and conferences
• Contribution to student loan debt payments after the first year
• 401(k) with company matching up to 4% after the first year
Apply Now
Apply Now
Responsibilities
• Recruit, develop, mentor and lead teams of data scientists to innovate automation and machine learning applications.
• Design and lead Data Modeling practices and framework, developing and implementing complex models for financial and business decisions.
• Own the entire Data Science strategy across GOBankingRates, prioritizing opportunities with the highest impact on company goals.
• Continue to evolve and expand the EYE Platform to improve digital ad conversion and performance across company KPIs.
• Translate analytical insights into actionable recommendations for business or product improvement, communicating clearly across all levels of the company.
• Drive scalable solutions using available AWS infrastructure.
• Create and track accuracy and performance metrics, both technical and business-related.
• Create, enhance, and maintain technical documentation, presenting it to scientists, engineers, and business leaders.
• Drive best practices on the team, mentoring junior members and fostering a culture of ownership, collaboration, and results.
• Understand business priorities to leverage Data Science capabilities effectively.
Requirements
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
• 5+ years of experience leading high-performing teams in advanced quantitative analyses and statistical modeling.
• 5+ years of hands-on experience in data science, machine learning, and natural language processing (NLP).
• Strong background in digital media marketing and developing methodologies to enhance digital advertising metrics.
• Proficient in translating data analytics into business enhancements with excellent communication skills.
• Experience driving scalable solutions using AWS infrastructure.
Nice-to-haves
• Growth mindset and passion for staying updated with AI/ML developments.
• Experience in refining processes with new data inputs and model improvements.
Benefits
• 100% Remote
• Competitive salary with excellent growth opportunity
• Medical, dental, and vision plans with heavy employer contribution
• Paid maternity and paternity leave programs
• Paid vacation, sick days, and holidays
• Company funding for outside classes and conferences
• Contribution to student loan debt payments after the first year
• 401(k) with company matching up to 4% after the first year
Apply Now
Apply Now