Staff Data Scientist (AI/ML)

TL;DR

Staff Data Scientist (AI/ML): Leading the strategy, development, and deployment of scalable AI/GenAI and machine learning solutions with an accent on generative models and MLOps. Focus on designing state-of-the-art transformer architectures, solving complex production-grade scalability challenges, and mentoring a high-performing data science team.

Location: Hybrid (2 days in office) in Boston, MA or Houston, TX. Must be based in the US

Salary: $174,000 - $278,400 USD

Company

hirify.global provides commercial operations software that aligns pricing, quoting, and contracting for over 10,000 customers worldwide, including over 50% of the Fortune 100.

What you will do

• Define and drive the AI/GenAI vision and roadmap to align with company objectives and future growth.
• Lead the development of state-of-the-art generative AI solutions using transformer models, diffusion models, and multi-modal architectures.
• Take end-to-end ownership of high-impact initiatives from problem formulation to production deployment and monitoring.
• Mentor and coach data scientists and ML practitioners to foster a culture of technical excellence.
• Collaborate with product managers, software engineers, and leadership to deliver cohesive and impactful AI solutions.
• Champion MLOps best practices, model governance, and operational excellence to ensure robust solutions.

Requirements

• 10+ years of professional experience in data science or AI, with 5+ years working on AI/ML or GenAI solutions.
• Deep expertise in Python and frameworks: TensorFlow, PyTorch, Scikit-learn, Pandas, and LangChain.
• Proficiency with cloud platforms (GCP, AWS, Azure) and modern MLOps practices.
• Advanced knowledge of LLMs, generative models, statistical modeling, and experimentation methodologies.
• Must be based in or be able to work hybrid in Boston, MA or Houston, TX.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related quantitative field (Ph.D. preferred).

Nice to have

• Experience with multi-modal models, reinforcement learning, and causal inference.
• Advanced knowledge of GCP technologies such as VertexAI, BigQuery, and DataFlow.
• Contributions to the AI/ML community through publications, open-source projects, or speaking engagements.
• Familiarity with agile methodologies in a cross-functional product development environment.

Culture & Benefits

• Competitive base salary and variable incentive pay component.
• Comprehensive benefits including medical and dental insurance.
• Flexible work options with a hybrid office model.
• Environment focused on innovation, individual growth, and team development.