Director - Data Science and Engineering - Commercial Analytics

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
The Role
Veeva is the leader in Cloud Software and Data for the Life Sciences Industry. As the Director of Data Science and Engineering for the Commercial Analytics team, you will work with Veeva Engineers, Consultants, and fellow Data Scientists to support analysis and analytical data deliverables for the Analytics Consulting team.
Your role will be to lead our data science and engineering teams, playing a pivotal role in shaping and executing our data strategy. This is a unique opportunity to drive innovation, enhance our data capabilities, and contribute to the continued growth and success of our organization.
Our ideal candidate is multi-talented, with the capabilities to develop statistical, machine learning, and optimization models, but they are also able to be client-facing, to understand the business needs of our clients (both within and outside of Veeva), and present complex statistical and machine learning models to the stakeholders.
This is a great opportunity for someone who is excited about using their deep Data Science expertise to help shape the ML offerings of the Veeva business. This role is remote, and the ideal candidate is located on the eastern seaboard.

What You'll Do

• Develop and execute a comprehensive data strategy applying analytics in line with Veeva’s Data Goals
• Provide visionary leadership to the data science and engineering teams, fostering a culture of innovation and continuous improvement
• Lead, mentor, and inspire a team of data scientists, engineers, and analysts
• Foster collaboration between consulting, data science, and engineering teams to ensure seamless integration of data solutions
• Oversee the design and implementation of advanced data analytics and machine learning models
• Ensure the development and maintenance of robust, scalable, and efficient data infrastructure
• Collaborate with cross-functional consulting teams to understand customer business requirements and translate them into data-driven solutions
• Work closely with product and business stakeholders to identify opportunities for innovation and improvement
• Establish and enforce best practices for data quality, security, and governance
• Implement and maintain rigorous testing procedures to validate the accuracy and reliability of data models and engineering solutions

Requirements

• Ph.D. in Economics, Machine Learning, Applied Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or other quantitative disciplines with at least 5+ years of relevant industry experience or an equivalent M.S. with 10 years of relevant demonstrable research experience
• Experience with the Life Sciences industry and applying analytics to related data sets
• Advanced, in-depth specialization and experience in data analysis techniques such as 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 problems and advocate technical 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 Data Bricks
• Data