Data Scientist

About DataWeave

Powered by AI, DataWeave provides Competitive Intelligence as a Service to retailers and consumer brands by aggregating and analyzing data from the Web at massive scale.

While retailers use DataWeave’s Retail Intelligence product to make smarter pricing, assortment, and promotion decisions to drive profitable growth, consumer brands use DataWeave’s Brand Analytics product to govern their online brand presence, optimize their Share of Voice, and drive improved e-commerce shelf velocity. DataWeave’s Counterfeit Products Detection Solution was awarded as one of the “Best 50 Innovative Applications of Artificial Intelligence” by NASSCOM in 2018. Also, our competitive intelligence platform won the NASSCOM Emerge 50 Award in 2016.

Some of the world’s largest and most popular retailers and brands have consistently trusted DataWeave, including the likes of Overstock, Metro Cash & Carry, OfferUp, Adidas, Dorel, and Netgear.

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 labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.

What do we offer?

DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.

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 serious scale! Read more on Become a DataWeave.

Roles & 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.

Skills & Requirements

  • Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus,optimization, algorithms and complexity.
  • Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
  • Excellent coding skills on multiple programming languages with experience building production grade systems. Prior experience with Python is a bonus.
  • Experience building and shipping machine learning models that solve real world engineering problems.Prior experience with deep learning is a bonus.
  • Experience building robust clustering and classification models on unstructured data (text, images, etc).
  • Experience working with Retail domain data is a bonus.
  • Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
  • Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
  • Use the command line like a pro. Be proficient in Git and other essential software development tools.
  • Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
  • Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
  • It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.

Job Location:
Bangalore, India

Address:
InfoWeave Analytics Pvt Ltd,
3rd Floor, Brigade Software Park
Banashankari Stage II, Basavanagudi,
Bengaluru 560070
+(91) 80 42 08 1302
contact@dataweave.com

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