Data Scientist

Summary

Join HomeBuddy, a fast-growing home improvement platform, as a Data Scientist! In this full-time, remote-flexible role, you will develop and implement machine learning models to refine lead scoring, identify customer segments, and optimize advertising. You will utilize geospatial and socioeconomic data to build predictive models and design pricing & distribution optimization algorithms. Collaboration with marketing, sales, and product teams is crucial. This position requires a Master's degree or PhD in a related field, 5+ years of data experience (2+ in data science), expertise in SQL, Python, and machine learning frameworks, and proven experience deploying models to production. HomeBuddy offers a competitive compensation package, flexible work arrangements, paid time off, equipment allowance, and professional development opportunities.

Requirements

• Master's Degree or PhD in Data Science, Computer Science, Mathematics, Physics, Statistics, Econometrics, Quantitative Methods or a Related Field
• 5+ years of experience in the data domain with +2 in data science roles
• Expertise in SQL, Python, and Machine Learning frameworks (especially supervised and unsupervised learning algorithms)
• Proven experience deploying machine learning models to production environments using tools and frameworks like ML Flow & AWS Sagemaker
• Exceptional analytical and problem-solving skills with a keen eye for detail
• Impeccable communication and presentation skills, capable of translating data insights into actionable business strategies
• A demonstrated ability to work independently and as part of a cross-functional team
• Strong business acumen and the ability to translate data insights into actionable business strategies that drive revenue growth
• Fluent English

Responsibilities

• Develop and implement machine learning models to refine lead scoring, identify customer segments, maximize conversions, optimize advertising bids, and prevent churn
• Utilize geospatial and socioeconomic data to build predictive models that identify high-value audiences
• Design and implement pricing & distribution optimization algorithms that maximize lead conversion rates and minimize customer acquisition costs
• Collaborate seamlessly with marketing, sales, and product teams, translating data-driven insights into actionable campaigns
• Present data findings with clarity, conciseness, and a dash of statistical humor

Preferred Qualifications

• Up-to-date with the latest data science techniques, whitepapers, and best practices
• Kaggle project experience

Benefits

• Work from anywhere flexibility
• Flexible schedule
• Paid vacation, sick leave, and local holidays
• Work equipment allowance
• Industry-leading compensation package
• Bonuses and incentives
• Wellness program covering fitness activities and mental health programs
• Paid training opportunities, including courses, events, and conferences