Overview
Welcome to HomeBuddy, where making a home awesome is like seeing a vision come to life. We are a product-first company with a long-term outlook, focused on lead quality and long-term partnerships based on trust and mutual success. This job is for you if you value teamwork, initiative, and contributing to a positive, collaborative environment.
This role is full-time and offers home working flexibility.
Responsibilities
- Developing and implementing machine learning models to refine lead scoring, identify customer segments, maximize conversions, optimize advertising bids, and prevent churn
- Utilizing geospatial and socioeconomic data to build predictive models that identify high-value audiences
- Designing and implementing pricing and distribution optimization algorithms that maximize lead conversions and minimize customer acquisition costs
- Collaborating with marketing, sales, and product teams, translating data-driven insights into actionable campaigns
- Presenting data findings clearly to stakeholders
Qualifications
- 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+ years in data science or machine learning engineer roles
- Expertise in SQL, Python, and machine learning frameworks (supervised and unsupervised learning)
- Experience deploying machine learning models to production environments using tools like MLflow and AWS SageMaker
- Exceptional analytical and problem-solving skills with attention to detail
- Excellent communication and presentation skills, capable of translating data insights into actionable business strategies
- Ability to work independently and in cross-functional teams
- Strong business acumen and capability to translate data insights into revenue-driving strategies
- Fluent English
Nice to have
- Up-to-date with the latest data science techniques
- Active Kaggle contributor or experience with Kaggle projects
Why choose HomeBuddy
- Work from anywhere with flexible hours while staying aligned with the team
- Flexible schedule, paid vacation, sick leave, and local holidays
- Equipment allowance and up-to-date tools to maximize productivity
- Competitive compensation package
- Recognition for individual and team contributions
- Well-being benefits including fitness and mental health programs
- Paid training opportunities, courses, events, and conferences
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Seniority level
Employment type
Job function
- IT Services and IT Consulting