Spoonshot Off Campus drive hiring Data Science Intern

Published by Okaieitsme on


Spoonshot is hiring for the position of Data Science Intern. For insights and updates related to off-campus drives and internship drives be active on our website.

Spoonshot is a food AI company backed by Techstars & VCs. Our unique technology leverages food science and big data to understand and predict consumer and market needs and trends. We are organizing one of the world’s largest food domain data sets including regional and scientific, to all digital content (in food). We’ve built several solutions from this core technology to solve some of the food & beverage industry’s key challenges.

Our trends & innovation platform helps CPG companies get forward-looking insights, that drive early stage product development.

Work LocationRemote
ProfileData Science Intern
Stipend₹20,000 – ₹25,000
Duration6 months

Why should you join a Data Science internship at Spoonshot?

  • You like the idea of applying big data / AI techniques to the world of food.
  • We work at a scale of more than 50TB!
  • Work alongside & learn from best in class talent.
  • Add value to real projects rather than experimental work that never gets shipped to production.
  • Get a chance to land in a full time job (PS: Many students who interned with us are full time with us).

At Spoonshot we are organising the world of food data which is used to solve business problems / building applications. We collect large amounts of data from multitude of sources (research, blogs, news, patents, e-commerce, online ordering, restaurant discovery services, social media, etc). You will be challenged to extracting various structured attributes from the data (video, audio, text, multiple langauges). You’ll be working with food scientists, which will challenge to pick up knowledge in the domain of fundamental sciences involving chemistry, biology, etc, and re-look at the problem to build domain specific technology.

Desired Skills:

  • Strong knowledge in computer science fundamentals, algorithms, mathematics, linear algebra, graph theory, probability and statistics.
  • Hands on experience in handling diverse data sets with strong analytics concepts and ML libraries. Also, good to have a working knowledge of spark, kafka, hadoop.
  • Proficient in python and using libraries — nltk, sklearn, numpy, scipy, pandas.
  • Comfortable with django framework.
  • Comfortable with web scraping, extracting, manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
  • Strong passion for data-driven research for answering hard questions with data.
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
  • Having a good understanding of design principles.
  • Passionate about startups and ability to work in a fast-paced environment.

Problems you will be working on

  1. Build automation using ML techniques to process unstructured data and extract structured attributes.
  2. Solve FMCG client problems using data and automated workflows.
  3. Build APIs and data pipelines which can work at scale.
  4. Maintain high standards in code quality and practices.

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