Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Leading the design and development of scalable ML systems for use cases like menu recommendation and guest personalization with an accent on improving product performance and customer insights. Focus on advanced ML models, guiding architectural decisions, and mentoring other data scientists.

Location: Remote, United States

Salary: $122,000—$195,000 USD

Company

hirify.global creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

What you will do

• Own the full machine learning lifecycle for mission-critical initiatives.
• Design and implement advanced ML and statistical models that improve product performance and customer insights.
• Collaborate with engineers, product managers, and business stakeholders to define project scope and integration strategy.
• Guide architectural decisions and champion best practices for experimentation, validation, and productionization.
• Mentor other data scientists and raise the technical bar.
• Proactively identify areas where data science can create business value and lead cross-functional efforts.

Requirements

• 8+ years of experience in data science with a proven track record of delivering production ML systems.
• Deep knowledge of statistical modeling, machine learning, and model evaluation.
• Experience working with real-world product data at scale.
• Experience with distributed data processing and training, real-time inference, and ML Ops frameworks.
• Prior experience mentoring other data scientists or acting as a tech lead.
• Proficiency in Python and SQL, and experience with ML frameworks.
• Strong grasp of software engineering principles.
• Hands-on experience with cloud platforms (preferably AWS).
• Excellent communication skills.
• Strong business acumen.

Nice to have

• An advanced degree in Computer Science, Statistics, or a related STEM field is preferred.
• Familiarity with MLOps tooling for monitoring, drift detection, retraining, and explainability.
• Experience fine-tuning LLMs and applying reinforcement learning from human feedback (RLHF).

Culture & Benefits

• Hybrid work model that fosters in-person collaboration.
• Competitive compensation and benefits programs.
• Employees are the secret ingredient, and when they thrive, the company thrives.
• Committed to creating an accessible and inclusive hiring process.
• Believe learning new AI tools empowers to build for customers faster and with higher quality.