Senior Data Scientist

TL;DR

Senior Data Scientist: Developing and implementing machine learning models to optimize lead scoring, customer segmentation, advertising bids, and churn prevention with an accent on geospatial and socioeconomic data integration and pricing optimization algorithms. Focus on designing predictive models, collaborating cross-functionally, and translating data insights into actionable business strategies.

Location: Remote (US)

Company

hirify.global is a fast-growing home improvement platform in the US focused on connecting homeowners with contractors through a data-driven product-first approach.

What you will do

• Develop and implement machine learning models for lead scoring, customer segmentation, conversion maximization, and churn prevention.
• Utilize geospatial and socioeconomic data to build predictive models identifying high-value audiences.
• Design pricing and distribution optimization algorithms to maximize lead conversion and minimize acquisition costs.
• Collaborate with marketing, sales, and product teams to translate data insights into campaigns.
• Present data findings clearly and effectively to stakeholders.

Requirements

• Location: Must be based in the US or able to work remotely within US time zones
• Master's or PhD in Data Science, Computer Science, Mathematics, or related field.
• 5+ years in data roles with 2+ years in data science.
• Expertise in SQL, Python, and machine learning frameworks.
• Experience deploying ML models in production using ML Flow and AWS Sagemaker.
• Fluent English with excellent communication and presentation skills.

Nice to have

• Up-to-date with latest data science techniques and best practices.
• Active Kaggle contributor or passion for machine learning competitions.

Culture & Benefits

• Work from anywhere with flexible schedule tailored to local needs.
• Paid vacation, sick leave, and local holidays.
• Partial payment for work equipment and access to up-to-date tools.
• Industry-leading compensation package with recognition for individual and team success.
• Well-being allowance for fitness and mental health programs.
• Paid training opportunities including courses, events, and conferences.