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Data Scientist

Data Scientist

at Codvoai

Posted by Ramya Gavireddy
Remote only
5 - 10 yrs
₹15L - ₹30L / yr
Full time
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Company Overview:

At Codvo, software and people transformations go hand-in-hand. We are a global empathyled technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.

Required Skills (Technical):

  •  Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like TensorFlow, Theano, Kera’s, Pytorch.
  •  Proficiency with modern statistical modelling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies.
  • Building complex predictive models using ML and DL techniques with production quality code and jointly own complex data science workflows with the Data Engineering team.
  • Familiarity with modern data analytics architecture and data engineering technologies (SQL and No-SQL databases).
  • Knowledge of REST APIs and Web Services
  • Experience with Python, R, sh/bash

Required Skills (Non-Technical):

  • Fluent in English Communication (Spoken and verbal)
  • Should be a team player
  • Should have a learning aptitude
  • Detail-oriented, analytically.
  • Extremely organized with strong time-management skills
  • Problem Solving & Critical Thinking
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About Codvoai

Raised funding

At Codvo, we accelerate Cloud, AI, and Transformation roadmaps while offering most satisfying mix of work-life balance, quality of living, and cutting edge work to our employees.

We deliver value through our unique "Virtual Silicon Valley" model where we bring seasoned experts and global talent together as a Product Oriented Deliver (POD) unit to successfully deliver on your next roadmap priorities.

Our “Virtual Silicon Valley” PODs deliver better success and speed because they are self-managed, have right expertise mix, and most importantly are aligned to work in your time zone. The goal is to balance speed, expertise mix, and cost while ensuring the success of core product development, design, and transformation activities.

We are proud to have our customers ready to vouch for us and share their success stories. Our teams of scientists, engineers, architects, and designers have helped AI-driven companies, fast-growing Fintechs, Wealth Management & Healthcare startups, Energy companies, and US Defense contractors accelerate their product and transformation roadmaps.

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- 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.

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- 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.
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- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.
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