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Python Software Engineer

Canada - Toronto CRM - 756-R&D AI Dev Full-Time
At Veeva, we build enterprise cloud technology that powers the biggest names in the pharmaceutical, biotech, consumer goods, chemical & cosmetics industries. Our customers make vaccines, life-saving medicines, and life-enhancing products that make a difference in everyday lives. Our technology has transformed these industries; enabling them to get critical products and services to market faster. Our core values, Do the Right Thing, Customer Success, Employee Success, and Speed, guide us as we make our customers more efficient and effective in everything they do.

The Role

Veeva is looking for a Software Engineer to build large data focused rules and applications on our multi-tenant, highly scalable cloud-based platform. The Andi team uses a variety of methods from simple logic to advanced AI to analyze data collected by our customers to provide them with dynamic, intelligent insights on how to improve their day to day operations. You’ll combine your data analysis and optimization skills with your Python programming abilities to deliver insights that help the life science industry deliver the right messages to the right people at the right time.
You’ll be joining a small team focused on using data to drive decisions and provide insights to our customers. Examples include detecting opportunities for follow up messaging, determining the most efficient use of a customer’s time (schedule optimizations) and detecting and escalating metrics-based issues. You’re rules and models will provide measurable insights that will improve our customers sales, marketing and data teams. You’ll be responsible for building code that examine millions of records across hundreds of customers world wide in a scalable, performant way.      
What You'll Do
  • You will work directly with data science team and other stakeholders to figure out what rules and model are going to best help our customers and how they should work
  • You will examine the existing data and its models, figuring out what data the rules will need and pointing out data changes that could optimize the rules
  • You will design, build and test the rules in an agile environment.
  • You will work in a small team environment within a highly successful company that is growing fast
  • You get to play with the latest technology and keep your skills current.     
  • Requirements
  • Experience using Python3 and the major data libraries (SciPy, NumPy, Pandas, etc )
  • A background in combinatorics, optimizations and statistics
  • Comfortable with database systems and warehouses, able to extrapolate data models and suggest new ones
  • Drive and flexibility to roll up your sleeves and work hard and have fun in a fast-moving environment
  • Experience working on teams using agile development techniques
  • Local to the GTA. We have offices in downtown Toronto
  • BS in engineering/math/computer science or equivalent
    Qualities we value:
  • Tenacity, technical brilliance and ability to contribute quickly
  • A focus on creating highly performant, scalable products.
  • Creativity and a self-starting willingness to explore new technologies
  • Take pride in work through attention to detail     
  • Nice to Have
  • Spark experience (PySpark, AWS EMR etc)
  • Background in Machine Learing/AI
  • Experience with data visualization
  • Demonstrated success in a startup mode     
  • Perks & Benefits
  • Conveniently located in downtown Toronto
  • Snacks, beverages, and weekly lunches from local restaurants
  • Team events and rec league sports teams
  • Allocations for continuous learning & development
  • Health & wellness programs
  • Weekly yoga classes
  • Ping pong and other games

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

    Veeva Systems is an equal opportunity employer. Accordingly, we are committed to fair and accessible employment practices. Veeva Systems welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process.