Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI/ML): Leads the design and development of scalable ML systems for use cases like menu recommendation and demand forecasting, with an accent on the full machine learning lifecycle, from problem framing to deployment and monitoring. Focus on designing and implementing advanced ML and statistical models that improve product performance and enhance customer experience at scale.

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, empowering them to adapt, grow, and thrive.

What you will do

• Own the full machine learning lifecycle for mission-critical initiatives.
• Design and implement advanced ML and statistical models to improve product performance and customer insights.
• Collaborate with engineers, product managers, and stakeholders to define project scope and integration strategy.
• Guide architectural decisions, set modeling standards, and champion best practices for experimentation and productionization.
• Mentor other data scientists and raise the technical bar through design reviews and feedback.
• Proactively identify areas for business value creation through data science.

Requirements

• 5+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact.
• Deep knowledge of statistical modeling, machine learning (e.g., tree-based models, time series, deep learning), and model evaluation.
• Experience working with real-world product data at scale and translating ambiguous problems into well-scoped ML solutions.
• Experience with distributed data processing and training, real-time inference, and MLOps frameworks.
• Proficiency in Python and SQL, and experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow).
• Hands-on experience with cloud platforms (preferably AWS), including tools like SageMaker, Athena, Glue, DynamoDB, and Bedrock.
• English: B2 required.

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) to improve model performance and alignment.

Culture & Benefits

• Company values innovation and learning new AI tools to build faster and with higher quality.
• Provides competitive compensation and benefits programs to attract and retain talent.
• Embraces a hybrid work model that fosters in-person collaboration while valuing individual needs.
• Committed to Diversity, Equity, and Inclusion, creating equitable opportunities for all employees.
• Strives to provide reasonable accommodations for persons with disabilities during the hiring process.