- 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 Pipeline Building Skills
- Product Development Experience
Perks & Benefits
- Medical, dental, vision, and basic life insurance
- Flexible PTO and company paid holidays
- Retirement programs
- 1% charitable giving program
Compensation
- Base pay: $200,000 – $300,000
- 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.