Data Scientist
Bengaluru
Bazaarvoice
Bazaarvoice enables brands and retailers to leverage the voice of the customer, manage user-generated content at scale, and engage shoppers from discovery to purchase.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 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:
- 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,
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).
Why join Bazaarvoice? Customer is keyWe see our own success through our customers’ outcomes. We approach every situation with a customer first mindset. Transparency & Integrity Builds TrustWe believe in the power of authentic feedback because it’s in our DNA. We do the right thing when faced with hard choices. Transparency and trust accelerate our collective performance. Passionate Pursuit of PerformanceOur energy is contagious, because we hire for passion, drive & curiosity. We love what we do, and because we’re laser focused on our mission. Innovation over ImitationWe seek to innovate as we are not content with the status quo. We embrace agility and experimentation as an advantage. Stronger TogetherWe bring our whole selves to the mission and find value in diverse perspectives. We champion what’s best for Bazaarvoice before individuals or teams. As a stronger company we build a stronger community. Commitment to diversity and inclusion Bazaarvoice provides equal employment opportunities (EEO) to all team members and applicants according to their experience, talent, and qualifications for the job without regard to race, color, national origin, religion, age, disability, sex (including pregnancy, gender stereotyping, and marital status), sexual orientation, gender identity, genetic information, military/veteran status, or any other category protected by federal, state, or local law in every location in which the company has facilities. Bazaarvoice believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes versatile perspectives will enhance our ability to fulfill our vision of creating the world’s smartest network of consumers, brands, and retailers.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Causal inference Computer Science Data analysis Data Mining GCP Machine Learning Mathematics Matlab NLP Python R Research SAS Scala SQL Statistics Testing
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