DataWeave | Senior Data Scientist

3 days ago

bangalore, 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.


What do we offer?

  • Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you canplay 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. Aculture 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.
  • Last but not the least, competitive salary packages and fast paced growth opportunities.


Who are we looking for?

The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade datascience applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.


We are looking for someone with a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision. If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role.


Key problem areas

  • Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
  • Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
  • Document clustering, attribute tagging, data normalization, classification, summarization, sentiment analysis.
  • Image based clustering and classification, segmentation, object detection, extracting text from images, generative models, recommender systems.
  • Ensemble approaches for all the above problems using multiple text and image based techniques.


Role and responsibilities

  • Understand the business problems we are solving. Build data science capability that align with our product strategy. Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
  • Build robust clustering and classification models in an iterative manner that can be used in production.
  • Constantly think scale, think automation. Measure everything. Optimize proactively.
  • Take end to end ownership of the projects you are working on. Work with minimal supervision.
  • Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
  • Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
  • Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
  • Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.

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