обновлено 2 дня назад
Staff Data Scientist (AI/ML)
174 000 - 278 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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.
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