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Global Data Science Lead

Massachusetts - Boston

Pay
$120,000–250,000/year · BaseAnnual period assumed · Location-specific pay — pay source
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.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type Full-Time
Employment type in the employer’s listing: Full-Time
From the employer’s posting
Apply at Veeva

What you’ll work on

Full posting
  • Lead, mentor, and grow a team of data scientists, AI/ML engineers, and analysts

  • Turn the Data Science AI strategy into team priorities and delivery plans

  • Own global methodology for model management, observability, testing, and deployment

  • Oversee design of advanced analytics, ML, and generative AI/LLM models

  • Translate customer business requirements into AI-native, data-driven solutions

From the employer’s posting
Lead, mentor, and inspire a team of data scientists, AI/ML engineers, and analysts
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
Oversee the design and implementation of advanced analytics, machine learning, and generative AI/LLM models
translate them into AI-native, data-driven solutions

What you’ll bring

All qualifications

Core experience

  • Experience with the Life Sciences industry and applying analytics and AI/ML to related data sets
  • Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) or vector databases
  • 1% charitable giving program
  • Hands-on experience building or deploying LLM-based systems (prompt engineering, RAG, agentic workflows, or fine-tuning).
  • Experience designing AI-native products or workflows, not just adding AI to existing systems
  • Proven leadership of teams of 10+ people
Qualification wording
Experience with the Life Sciences industry and applying analytics and AI/ML to related data sets
Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) or vector databases
1% charitable giving program
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
Experience designing AI-native products or workflows, not just adding AI to existing systems
Proven leadership of teams of 10+ people
Education & alternatives
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

Tools in this posting

  • AWS
  • Databricks
  • Snowflake
Source — Tool mentions in context
Nice to Have - Advanced experience with AWS, Snowflake, or Databricks - Data pipeline building skills

Posting record

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Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier listing.

Status in our records
Live
First seen by us
Oct 16, 2026 · 6 days ago
Recorded sightings
16
Last seen by us
Oct 22, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

Veeva is building the industry cloud for Life Sciences through software, data, AI, and business consulting working together. Learn more about our products, vision, values, and status as a Public Benefit Corporation (PBC) on our website.
 
Consulting is changing, and we’re not like other firms. Launched in 2019, Veeva Business Consulting has grown quickly and organically to over 500 global experts who combine deep domain knowledge with innovative technology to help Life Sciences companies work in a more efficient and connected way.
 
We are growing aggressively as we look towards 2030.  We are seeking great people to help shape the future of the industry with the world’s leading software, data, AI, and expertise at their back.

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.
#LI-Remote #LI-MidSenior

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 talent_accommodations@veeva.com.

Employment type

Full-Time

Source details

View original posting ↗

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Pay
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.
Location & working pattern

Massachusetts - Boston

- 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. #LI-Remote #LI-MidSenior
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