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 field5+ years of experience in the data domain with 2+ years in data science or machine learning engineer rolesExpertise 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 SageMakerExceptional analytical and problem-solving skills with attention to detailExcellent communication and presentation skills, capable of translating data insights into actionable business strategiesAbility to work independently and in cross-functional teamsStrong business acumen and capability to translate data insights into revenue-driving strategiesFluent EnglishNice to have
Up-to-date with the latest data science techniquesActive Kaggle contributor or experience with Kaggle projectsWhy choose HomeBuddy
Work from anywhere with flexible hours while staying aligned with the teamFlexible schedule, paid vacation, sick leave, and local holidaysEquipment allowance and up-to-date tools to maximize productivityCompetitive compensation packageRecognition for individual and team contributionsWell-being benefits including fitness and mental health programsPaid training opportunities, courses, events, and conferencesPrivacy Policy
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Seniority level
Mid-Senior levelEmployment type
Full-timeJob function
IT Services and IT Consulting#J-18808-Ljbffr