Data Scientist (Remote)

Canada - Toronto

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Veeva Systems
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Posted 4 weeks ago

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
As a Data Scientist for the Business Consulting team, you will work with Veeva engineers, consultants, and fellow data scientists to support analysis and analytical data deliverables.
Your role will be to generate and own the mathematical and behavioural models that will help drive the generation of impactful insights and suggestions for our clients. 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 Machine Learning offerings of Veeva business.
This is a remote position.

What You'll Do

  • Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
  • Design, develop and assess highly innovative models for clustering, anomaly detection, and more
  • Build and run an analysis of models and algorithms in order to assess performance and identify the best algorithms to present to customers
  • Ensure models and algorithms support our customers and help them drive towards more intelligent and effective engagement with their customers
  • Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning, and retrieval processes) on large data sets to identify trends and figures
  • Work closely with the data warehouse product team to ensure the architecture is effectively developed to support algorithms that are reproducible for many clients while being able to tailor said models for individual clients


  • M.S. or Ph.D. in Machine Learning, Applied Statistics, Mathematics, Computer Science, or other quantitative disciplines. Ph.D. with at least 2 years of relevant industry experience, M.S. with 3 years of relevant industry experience.
  • Advanced in-depth specialization and experience in data analysis techniques such as: classification, pattern recognition, clustering, feature analysis, deep learning (NLP), fuzzy matching, sentiment analysis, A/B testing, active/adaptive learning
  • Expertise in using R or Python to manipulate large data sets and develop statistical models, with the ability to accurately determine cause and effect relationships
  • Good SQL skills
  • 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

Nice to Have

  • Experience with commercial aspects of the Life Sciences industry
  • Experience working with Software as a Service and/or enterprise products
  • Experience with AWS
  • Hands-on experience building models with deep learning frameworks (Tensorflow or similar)
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.
Job tags: AWS Consulting Data Mining Deep Learning Machine Learning NLP Python R SQL TensorFlow
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