Data Scientist

Are you a passionate Techie ninja with 3 - 5 yrs of experience, who thinks, “I don’t want to just keep pushing paper or doing dumb work and want to create products that change people’s lives”. Someone who has the passion to create and not just the mentality to maintain existing systems. An Entrepreneurial spirit with a startup mentality, who will take pride in what he/she will help create. A believer and not a skeptic with an ability to wear multiple hats required in a startup.

Company Profile:

At AIndra Systems, an exciting early stage Start-Up based out of Bangalore, our Vision is to build world class systems to aid diagnosis of fatal diseases like cancer with the use of Artificial Intelligence. Our Mission is to use Computer Vision as the vehicle. We take immense pride in the fact that we are amongst the very few deep technology startups in India. We are working on using deep-tech like Optics, Mechatronics and AI in Healthcare. We have been featured by Forbes, Economic Times, Your story etc. We have been supported by multiple national as well as international agencies. We have multiple patent pending products which are under the National Phase applications stage in multiple countries.

As a lead developer, you will be responsible for leading the implementation of product architecture.

We want you if you are:

• A person with a great aptitude matched with an amazing attitude and work ethic.
• Strong analytical and problem-solving skills.
• Identify valuable data sources and automate collection processes.
• Undertake preprocessing of structured and unstructured data.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modeling.
• Capable of performing technical root cause analysis and outlining corrective action for problems using debuggers, log files, etc.
• Team up with other engineering and development team members to develop integrated systems.
• Identify issues and use data to propose solutions for effective decision-making.
• Establish new systems and processes and look for opportunities to improve the flow of data.
• Evaluate new and emerging technologies.
• Compile, analyze, document and present data.
• Stay curious and enthusiastic about using algorithms to solve problems.

Highly Desirable:

1. BTech/BE/MSc/MTech (or equivalent degrees) in Data Science or related technical disciplines

Required Technical and Professional Expertise :

1. Proficiency in programming languages like Python and SQL for data analysis and modeling.
2. Strong foundation in statistics, probability, and mathematics for interpreting and modeling data.
3. Hands-on experience with machine learning algorithms and frameworks such as TensorFlow, or PyTorch.
4. Expertise in data wrangling, cleaning, and preprocessing using libraries like Pandas and NumPy.
5. Familiarity with database systems, both relational (SQL, PostgreSQL) and NoSQL (MongoDB).
6. Strong communication skills to explain technical findings clearly to non-technical audiences.

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