Global Data Science Lead

Veeva Systems, Inc.; United States; À distance; USD 120 000 - 250 000; Plein temps

Avantages offerts par ce poste

Medical, dental, vision, and basiclife

Flexible PTO and company paid holidays

Retirement programs

1% charitable giving program

Unrivaled career progression

Résumé du poste

Veeva Systems, Inc. seeks a Global Data Science Lead to guide a cross-functional team of data scientists, AI/ML engineers, and analysts.

You will translate strategy into delivery, applying advanced analytics, ML, and generative AI to life sciences data, with a focus on robust, scalable data solutions. You will partner with Global Analytics leadership and product teams to set priorities, manage model lifecycle, and ensure responsible AI practices while fostering collaboration across consulting

Qualifications

• PhD in Economics, Machine Learning, Applied Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or other quantitative discipline.
• 5+ years of relevant industry experience, or 8+ years with MS.
• Experience in Life Sciences analytics and applying analytics and AI/ML to related data sets.
• Hands-on experience building or deploying LLM-based systems (prompt engineering, RAG, agentic workflows, or fine-tuning).
• Proven leadership of teams of 10+ people.
• Excellent problem-solving and quantitative skills; ability to handle non-standard problems.
• Excellent oral and written communication skills with ability to explain complex AI solutions.

Responsabilités

• Lead the Data Science function within the Global Analytics Team, aligning with Analytics Business Consulting goals.
• Mentor a team of data scientists, AI/ML engineers, and analysts.
• Partner with Global Analytics leadership to translate strategy into team priorities and delivery plans.
• Own global methodology – model management, observability, testing, and deployment.
• Foster collaboration between consulting, data science, and engineering teams for AI-driven data solutions.
• Oversee the design and deployment of advanced analytics, ML, and generative AI models.
• Ensure robust, scalable data and AI infrastructure supporting deliverables.
• Collaborate with cross-functional teams to translate customer needs into AI-native solutions.
• Work with product/business stakeholders to surface AI opportunities within engagements.
• Enforce best practices for data quality, security, governance, and responsible AI.

Connaissances

Leadership

Data science

ML engineering

Communication

Problem-solving

Formation

PhD in quantitative discipline

MS with 8+ years research

Outils

AWS

Snowflake

Databricks

LangChain

LlamaIndex

Vector databases

Description du poste

The Role

The Global Analytics Business Consulting Team applies data science and AI to help customers turn commercial, medical, and regulatory data into action. We are seeking a Global Data Science Lead that will support execution of the Data Science AI strategy within this team. This role will lead a group of data scientists, AI/ML engineers, and analysts, and partners with Global Analytics leadership to turn strategy into delivery — applying advanced analytics, machine learning, and generative AI/LLM techniques to life sciences data.

What You'll Do

• Lead the Data Science function within the Global Analytics Team, in line with Veeva's Analytics Business Consulting goals
• Lead, mentor, and inspire a team of data scientists, AI/ML engineers, and analysts within the Global Analytics Team
• Partner with Global Analytics leadership to translate the broader Data Science AI strategy into team priorities and delivery plans
• Own global methodology – model management, observability, testing, and deployment
• Foster collaboration between consulting, data science, and engineering teams to ensure seamless integration of AI-driven data solutions
• Oversee the design and implementation of advanced analytics, machine learning, and generative AI/LLM models within the Global Analytics Team's scope of work
• Ensure the development and maintenance of robust, scalable, and efficient data and AI infrastructure supporting Global Analytics Team deliverables
• Collaborate with cross-functional consulting teams to understand customer business requirements and translate them into AI-native, data-driven solutions
• Work with product and business stakeholders to surface opportunities for applying AI within Global Analytics Team engagements
• Enforce best practices for data quality, security, governance, and responsible AI use within the team
• Implement and maintain rigorous testing procedures to validate the accuracy and reliability of data, ML, and AI models

Requirements

• Ph.D. in Economics, Machine Learning, Applied Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or other quantitative discipline with 5+ years of relevant industry experience, or equivalent M.S. with 8+ years of relevant demonstrable research experience
• Experience with the Life Sciences industry and applying analytics and AI/ML to related data sets
• Hands-on experience building or deploying LLM-based systems (prompt engineering, RAG, agentic workflows, or fine-tuning). Advanced, in-depth specialization in data science and AI techniques including classification, pattern recognition, clustering, feature analysis, NLP, fuzzy matching, sentiment analysis, A/B testing, active/adaptive learning
• Proven leadership of teams of 10+ people
• Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes, and recommend solutions, even in situations with non-standard problems
• Excellent oral and written communication skills with the ability to effectively explain complex technical and AI-driven solutions to other team members and clients
• Must be comfortable with changing requirements and priorities
• Must be results-oriented and able to move forward without complete information and with minimal supervision

Nice to Have

• Advanced experience with AWS, Snowflake, or Databricks
• Data pipeline building skills
• Product development experience
• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) or vector databases
• Experience designing AI-native products or workflows, not just adding AI to existing systems

Interviewing with Veeva

We value your time and believe in a transparent hiring process. Here is the process you can expect.

• Follow the application process and submit your resume.
• If moving to the interview stage, our process is as follows:
  1. A conversation with the hiring manager
  2. A personality assessment
  3. A practical case exercise
  4. A final conversation with our group's Senior Leader
• Once all interviews are complete, the manager will be in touch with a final decision.

Perks & Benefits

• Medical, dental, vision, and basic life insurance
• Flexible PTO and company paid holidays
• Retirement programs
• 1% charitable giving program
• Unrivaled career progression in a fast-growing, global team
• Veeva is a Work Anywhere company. You can work from home or the office on any given day

Compensation

• Base pay: $120,000 - $250,000
• The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.

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Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [e-mail].