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About the Team

Our Data Science team is the Avengers to Meesho’s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We’ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat.  

Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation.

As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.🔍 You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market.

But wait – there’s more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting “Summer of 69” at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ☺️

About the Role

 Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist.

In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers.

What you will do

• Develop models and run experiments to infer insights from hard data
• Improve our product usability and identify new growth opportunities
• Understand reseller preferences to provide them with the most relevant products
• Designing discount programs to help our resellers sell more 
• Help resellers better recognise end-customer preferences to improve their revenue
• Use data to identify bottlenecks that will help our suppliers meet their SLA requirements
• Model seasonal demand to predict key organisational metrics
• Mentor junior data scientists in the team

• Bachelor's/Master's degree in computer science (or similar degrees)
• 1-2 years of experience as a Data Scientist in a fast-paced organization, preferably B2C
• Familiarity with Neural Networks, Machine Learning, etc
• Familiarity with tools like SQL, R, Python, etc.
• Strong understanding of Statistics and Linear Algebra Strong understanding of hypothesis/model testing and ability to identify common model testing errors
• Experience designing and running A/B tests and drawing insights from them
• Proficiency in machine learning algorithms 
• Excellent analytical skills to fetch data from reliable sources to generate accurate insights
• Experience in tech and product teams is a plus

• Experience in working on personalization or other ML problems 
• Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift

About Meesho

Meesho is India’s fastest growing e-commerce company. We started in 2015 with the idea of helping mom & pop stores to sell online. Today, 5% of Indian households shop with us on any given day 😎. We’ve helped over 15 million individual entrepreneurs start online businesses with zero investment. We’re democratising internet commerce by offering a 0% commission model for sellers on our platform — a first for India. We aim to become the e-commerce destination for Bharat. How? Find out from our blogs!

We’re currently valued at $4.9 billion with marquee investors supporting our vision. Some of them include Sequoia Capital, Softbank, Fidelity, Prosus Ventures, Facebook and Elevation Capital. We were also featured in Y Combinator’s 2021 Top Companies List, and were the only Indian startup to make it to Fast Company’s The World’s 50 Most Innovative Companies in 2020. We ranked 6th in Linkedin’s Top Startups List 2021. Our strongest asset is our people. We have gender-neutral and inclusive policies to promote our people-first culture. Please check out meesho. careers for our openings.

Our Mission 

 Democratise internet commerce for everyone

Our Purpose

Har Indian ka APNA MARKET

About Us:

Docsumo is a Document AI software that helps enterprises capture data and analyze customer documents. We convert documents such as invoices, ID cards, and bank statements into actionable data. We are work with clients such asPayU, Arbor and Hitachiand backed bySequoia, Barclays, Techstars, and Better Capital.

We are looking for a Machine Learning Engineer to help us create & deploy machine learning solutions. As anMLEngineer you will be part of a team deploying state-of-the-art machine learning models built by our Data Scientists. You will be working directly with the CTO to develop end to end API products for the US market in the information extraction domain.

Responsibilities

• Apply Data Science concepts to solve routine problems of target users.
• You will be designing and building systems that help Docsumo process visual data i.e. as PDF & images of documents.
• Experience with training and fine-tuning machine learning models on large text datasets.
• You'll work in our Machine Intelligence team, a close-knit group of scientists and engineers who incubate new capabilities from whiteboard sketches all the way to finished apps.
• You will get to learn the ins and outs of building core capabilities & API products that can scale globally.
• Should have hands-on experience applying advanced statistical learning techniques to different types of data.
• Should be able to design, build and work with RESTful Web Services in JSON and XML formats. (Flask preferred)
• Produce clean, efficient code based on specifications
• Should follow Agile principles and processes including (but not limited to) standup meetings, sprints and retrospectives.

• Must have a full-time degree in Computer Science or similar (Statistics/Mathematics)
• Working with OpenCV, TensorFlow and Keras
• Working with Python: Numpy, Scikit-learn, Matplotlib, Panda
• Familiarity with Version Control tools such as Git
• Familiarity with ML frameworks and libraries
• Theoretical and practical knowledge of SQL / NoSQL databases with hands-on experience in at least one database system.
• Team player, an ability to work cooperatively with the other engineers
• Ability to make quick decisions in high-pressure environments with limited information.
• Outstanding analytical and problem-solving skills
• Must be self-motivated, flexible, collaborative, with an eagerness to learn

Work locations:

Mumbai/ Bangalore/ Kathmandu & WFO 3 days a week

About Us:

Docsumo’s Document AI platform empowers enterprises to scale operations effortlessly by capturing, validating and analyzing unstructured documents. We leverage state-of-the-art methods from Computer Vision, Natural Language Processing, Multimodal AI, and Deep learning to extract actionable data from documents like invoices, bank statements, tax forms. We are working with marquee clients such as PayU, Arbor and Hitachi and are backed by Fifth Wall, Common Ocean, Sequoia, Barclays, Techstars, and Better Capital.

As a Machine Learning Intern, you will be joining a dynamic and distributed team of 15+ Data scientists and Machine learning engineers. You can try out the free trial version of Docsumo to get a better picture of our Document AI platform: [https://app.docsumo.com/signup](https://app.docsumo.com/signup)

Responsibilities:

• You will work in our Machine Learning org, a close-knit group of scientists and engineers who collaborate to build new ML-powered systems from whiteboard sketches to APIs.
• You will work on applied ML projects to improve our platform’s Document AI capabilities.
• You should have the ability to understand the business problem, identify the key challenges, formalize the problem algorithmically, and prototype solutions

• Deep learning: PyTorch, Tensorflow, Training Neural Network models
• Machine learning: Classification, Regression, Scikit-learn, Numpy, Pandas, Scipy
• NLP: HuggingFace, Attention, Transformers, BERT, Text classification
• Computer Vision: OCR, OpenCV, CNNs, Pretrained image models
• Software engineering: Python, Git, AWS, Google Cloud, Docker, Database
• Behavioral: Must be self-motivated, team player, resourceful, eager to learn, have a growth mindset, and able to get things done.
• Strong Github profile with experience working on a variety of ML projects

About Us:

Docsumo’s Document AI platform empowers enterprises to scale operations effortlessly by capturing, validating and analyzing unstructured documents. We leverage state-of-the-art methods from Computer Vision, Natural Language Processing, Multimodal AI, and Deep learning to extract actionable data from documents like invoices, bank statements, tax forms.

We are working with marquee clients such as PayU, Arbor and Hitachi and are backed by Fifth Wall, Common Ocean, Sequoia, Barclays, Techstars, and Better Capital.

As a Senior Machine Learning Scientist, you will be joining a dynamic and distributed team of 15+ Data scientists and Machine learning engineers. You will be working directly with the Head of Machine Learning and the CTO to develop end-to-end APIs and data products for clients in the US market.

You can try out the free trial version of Docsumo to get a better picture of our Document AI platform: [https://app.docsumo.com/signup](https://app.docsumo.com/signup)

Responsibilities

• You will work in our Machine Learning org, a close-knit group of scientists and engineers who collaborate to build new ML-powered systems from whiteboard sketches to finished APIs
• You will conduct innovative research and apply it to build scalable ML systems and APIs for intelligent document processing
• You will manage a small team of data scientists and machine learning engineers
• You will plan new projects for your team and take full ownership of the deliverables

• Must have a Master’s or a PhD in relevant quantitative disciplines like Computer Science, Statistics, Machine Learning, Physics, Mathematics, Quantitative Finance or Biology etc.
•  Master’s candidates should have 4+ years industry experience and PhD candidates should have 2+ years industry experience working in machine learning, deep learning, NLP, Computer vision etc. in product startups, tech companies, industry R&D groups etc.
• 1-2 years experience in leading and managing a team of 4-5+ ML scientists and engineers
• Proven ability to scope out a research idea and implement it end-to-end from raw data to API
• Deep learning: PyTorch, Tensorflow, Training DNNs, Transfer learning, Model optimization
• Machine learning: Classification, Regression, Scikit-learn, Numpy, Pandas, Scipy, Visualization
• NLP: HuggingFace, AllenNLP, Attention, Transformers, BERT, GPT3+, Text classification
• Computer Vision: OCR, OpenCV, CNNs, Pretrained image models, Multimodal AI
• Software engineering: Python, Git, AWS, Google Cloud, Docker, Kubernetes, Agile, Sprints
• Behavioral: Must be self-motivated, team player, resourceful, eager to learn, have a growth mindset, and able to get things done

Work locations:

Mumbai/ Bangalore/ Kathmandu & WFO 3 days a week