Description:

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster.
The company is one of the fastest-growing SaaS companies in history, surpassing $2B in revenue in the last fiscal year with extensive growth potential ahead.
Veeva is a public benefit corporation (PBC), legally bound to balance the interests of customers, employees, society, and investors.
The company supports flexible work arrangements, allowing employees to work from home or in the office.
The role involves leading the development of impactful AI solutions and innovative services to help clients bring life-changing products to market faster.
The Lead Data Scientist/Machine Learning Engineer will spearhead complex problem-solving and implement AI-powered features in large-scale software products.
Responsibilities include leading a cross-functional team to build scalable language services in NLP, NLU, and NLG for live SaaS products, building models that solve real-world problems, developing and grooming an experiment and product feature backlog, optimizing models for production throughput and uptime requirements, and automating deployments, testing, and monitoring (MLOps).

Requirements:

Candidates must have 8+ years of experience developing data and analytics products such as sentiment analyzers, translation engines, summarizers, or other language services.
A minimum of 3+ years of experience leading teams to produce data and analytics software products is required.
Expertise in Machine Learning, Modeling, and development with Python is essential.
Knowledge of relevant regulations in AI/ML and the ability to incorporate compliance into MLOps processes is necessary.
Strong communication skills are required for this position.

Veeva Systems fosters a culture of inclusion and is committed to growing a diverse workforce, valuing individuals for their unique contributions.
The company provides assistance or accommodation for applicants with disabilities or special needs during the recruitment process.
Employees have the flexibility to work in their ideal environment, whether from home or in the office.