At Bazaarvoice, over the past 15 years our software has been at the core of commerce on the web for some of the world's biggest brands and retailers. The result is an absolutely massive amount of data, at scales comparable to the most high-traffic individual websites out there. It is critical to the future success of Bazaarvoice that we continue to find ways to leverage that data and turn it into valuable insights for our clients.
We're looking for a Data Scientist II to join our outstanding team. You'll work closely with a team of engineers to create a platform on top of that data that will be leveraged by virtually every other product and system we have built or will build in the future. You'll be responsible for experimenting to create new models to improve Bazaarvoice products and retraining existing models.
Primary Duties of the Role:
- Apply (and extend) state-of-the-art natural language processing, machine learning, and statistical techniques to develop predictive models and optimization algorithms.
- Use sophisticated analytical methods to automate existing processes and enable new capabilities
- Utilize machine learning and large-scale data mining techniques to discover and identify actionable patterns in the data.
- Build prototypes to test new algorithms
- Deep dive into the data to understand and apply patterns, while maintaining a sense of the big picture
- Work closely with engineers product managers to put research results into action
Skills and Experience Necessary for the Role:
- Hands-on experience with machine learning techniques, such as logistic regression, naïve bayes, SVM, decision trees, neural networks, and random forests
- Structured thinker, effective communicator, and excellent Data Analysis skills
- Practical experience applying statistical analysis (in A|B testing, causal inference, ML, etc.)
- Statistical software packages (R, S-Plus, Matlab, SAS, or similar)
Requirements:
- Bachelor's Degree in Statistics, Computer Science, Mathematics, or equivalent work experience
- 2+ Years of Experience in Data Science
- 3+ Years experience analyzing data using SQL
- 2+ Years experience with Python/Scala
- 2+ Years Experience developing products on Public cloud Hosting platforms (ex. AWS, GCP, etc)
Canada
