Deployment Focused Data Scientist

Ready to find your perfect job fit?

Welcome to HomeBuddy, where making a home awesome is like seeing a vision come to life! We are on a mission to create a friendly and trusted platform to connect homeowners with the right contractors across the US.

What started as a small idea has become a fast-growing home improvement platform focusing on lead quality and long-term partnerships based on trust and mutual success. We are a product-first company with a long-term outlook - our platform consistently and positively evolves based on data insights and the most up-to-date tools.

This job is for you if You would like to work in a positive atmosphere where teamwork and trust in your colleagues are primary values. You succeed in an environment that values initiative and sharing feedback and where your suggestions and efforts are recognized and appreciated. You are used to taking responsibility for solving difficult tasks and are directly involved in how your efforts impact the final result.

This role is full-time and offers home working flexibility.

Your future tasks will include Developing and implementing 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, leaving the competition in our dust. Design and implement pricing & distribution optimization algorithms that maximize lead conversion rates and minimize customer acquisition costs, ensuring we're always in the black. 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, leaving stakeholders nodding in agreement.

You’re going to need this to be successful in this role 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/machine learning engineer 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, ensuring our models are always ready for prime time. 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 that drive revenue growth without losing the audience in a sea of jargon. A demonstrated ability to work independently and as part of a cross-functional team, ensuring we're always scoring the highest in teamwork. Strong business acumen and the ability to translate data insights into actionable business strategies that drive revenue growth, making us a data-driven powerhouse. Fluent English

It’s nice if you also have Up-to-date with the latest data science techniques, whitepapers, and best practices. We value working on Kaggle projects, so if you have a passion for machine learning and are an active Kaggle contributor, please highlight this in your application.

Why choose HomeBuddy Enjoy the freedom to work from anywhere without being tied to one place - while ensuring you are available to our team during the agreed working hours. Achieve a harmonious work-life balance with a flexible schedule tailored to your local needs, along with paid vacation, sick leave, and local holidays. Empower yourself with work equipment of your choice partially paid for by HomeBuddy and up-to-date apps and tools to maximize your productivity. Feel valued and appreciated with an industry-leading compensation package. Get recognized and rewarded for both outstanding individual efforts leading to extraordinary results and our team success. Enhance your well-being with our allowance program covering fitness activities and mental health programs. Learn and expand your knowledge by both working on complex tasks and using paid training opportunities, including courses, events, and conferences.

If this sounds like you, we should talk!

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