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Staff Data Scientist

Bazaarvoice

Karnataka, India (Hybrid)

Staff Data Scientist

1 Week ago • 7-7 Years

About the job

Summary_{By Outscal}

Bazaarvoice is looking for a Staff Data Scientist with 7+ years of experience in Data Science or Data Analytics. You'll apply state-of-the-art natural language processing, machine learning, and statistical techniques to develop predictive models and optimization algorithms. Must-have skills include experience with machine learning techniques, statistical analysis, Python/Scala, and SQL.

About Bazaarvoice

At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products.

The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty.

Our brand promise : closing the gap between brands and consumers.

Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia.

It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK!

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 Staff Data Scientist to join our Machine Learning 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.

Mentor more junior Data Scientists and Data Analysts.

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:

Ability to independently create plans for projects and a track record of overseeing large / complex analytical projects spanning multiple teams.

Hands-on experience with machine learning techniques, such as logistic regression, naïve bayes, SVM, decision trees, neural networks, and random forests.

Practical experience applying statistical analysis (in A|B testing, causal inference, ML, etc.)

A track record of delivering ML-enabled products from idea to delivering value in production.

Experience researching, evaluating, and applying state-of-the-art Machine Learning techniques.

Requirements:

Bachelor's Degree in Statistics, Computer Science, Mathematics, or equivalent work experience.

7+ Years of Experience in Data Science or Data Analytics.

5+ Years experience analyzing data using SQL.

4+ Years experience with Python/Scala.

3+ Years Experience developing products on Public cloud Hosting platforms (ex. AWS, GCP, etc)

#LI-Hybrid#LI-PC1

Why join Bazaarvoice?

Customer is key

We see our own success through our customers’ outcomes.

We approach every situation with a customer first mindset.

Transparency & Integrity Builds Trust

We 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 Performance

Our 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 Imitation

We seek to innovate as we are not content with the status quo.

We embrace agility and experimentation as an advantage.

Stronger Together

We 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.