Data Science Intern

4 days ago


Bengaluru, India DataWeave Full time

About us

DataWeave is a cutting-edge SaaS-based digital commerce analytics platform that empowers retailers with competitive intelligence and equips consumer brands with digital shelf analytics on a global scale. By harnessing the power of DataWeave, retailers gain the ability to make smarter pricing and merchandising decisions, while consumer brands can optimize their digital shelf performance across key performance indicators such as share of search, content quality, price competitiveness, and stock availability.


At the heart of DataWeave's capabilities lies its state-of-the-art AI-powered proprietary technology, which aggregates and analyzes 500+ billion data points, covering over 400,000 brands, 4,000+ websites, and spanning across more than 20 industry verticals.


Our distinguished clientele includes some of the world's largest and most renowned retailers and brands, among them Nordstrom, Overstock, The Home Depot, Mars, Bush Brothers, Modelez, Pernod Ricard, and many others.


We are a globally distributed team, composed of over 220 talented engineers, product managers, and eCommerce experts located across San Francisco, Seattle, Austin, and Toronto in North America, complemented by our technology-focused offices in Bangalore.


JOB DESCRIPTION

Data Science@DataWeave:

We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long-term thinking, and pushing the envelope. We are a fast-paced lab within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.


How we work?

It's hard to tell what we love more, problems or solutions Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At a serious scale Read more on BecomeaDataWeaver


What do we offer?

  • Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with
  • Ability to see the impact of your work and the value you're adding to our customers almost immediately.
  • Opportunity to work on different problems and explore a wide variety of tools to figure out what really excites you.
  • A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working hours.
  • Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.


Who are we looking for?


The ideal candidate is an enthusiast in software development with experience in Python. Such a candidate has a keen interest in understanding the business problem, figuring out a solution, and translating that into an algorithm or model. You like experimenting with new approaches and identifying early what will work. You are expected to develop solutions that are feasible and moderately optimised. You also need to learn how to build engineering pipelines to deploy your solutions into production at least at a small scale. You are expected to document your work.

We are looking for someone with a Bachelor's or Masterʼs degree in Computer Science or a related field. Knowledge of machine learning fundamentals is also desired.


Role and Responsibilities

  • Understand the business problems we are solving. Leverage existing solutions. Experiment with new approaches where required.
  • Work on problems in one of the following areas – NLP, Computer Vision or structured data processing.
  • Understand the existing solutions and help improve them.
  • Work with the larger Data Science team in sprints.
  • Take ownership of the projects you are working on. Seek guidance when necessary.
  • Add passion and vibrance to the team. Innovate. Push the envelope.


The relevant set of skills

  • Strong in software engineering and code design.
  • Adept in Python programming with a good understanding of data structures.
  • Familiarity with some of these libraries - Pandas, OpenCV, NLTK, scikit-learn, Tensorflow, etc.
  • Experience in API development.
  • Hands-on experience with various databases is desirable.
  • Working knowledge of Azure and AWS platforms is desirable.
  • Use the command line like a pro. Be proficient in Git and other essential software development tools.
  • It's a huge bonus if you have some personal projects (including open-source contributions) that you work on during your spare time. Showoffsomeofyourprojects youhavehostedonGitHub. Familiarity with the latest LLMs, transformer-based models (e.g., GPT, BERT), and their applications in NLP

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