Senior 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.
• Utilizing geospatial and socioeconomic data to build predictive models that identify high-value audiences, leaving the competition in our dust.
• Designing and implementing pricing & distribution optimization algorithms that maximize lead conversion rates and minimize customer acquisition costs, ensuring we're always in the black.
• Collaborating seamlessly with marketing, sales, and product teams, translating data-driven insights into actionable campaigns.
• Presenting 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 a data science role.
• 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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