Data Scientist
Company Name:-
Noodle.ai
Job Location:-
Bengaluru, Karnataka
Job Summary:-
As a Data Scientist at Noodle.
ai, you will collaborate with our Enterprise Services team, Software Engineers, Designers, and industry-specific experts from our customers.
You will build a deep understanding of the business problems our customers are tackling and then develop, test, and deploy advanced machine learning algorithms.
As we grow, you will also develop reusable IP to help us move faster, dive deeper, and work more efficiently by generalizing the algorithms, methodologies, and supporting infrastructure that you build.
As one of the early hires to join the Noodle.
ai team, you will have a significant impact on the future of Enterprise Artificial Intelligence.
Job responsibilities:
Implement a breadth of different modeling approaches/ techniques in machine learning
Manipulate and prepare large, heterogeneous data sets to support advanced analytics
Iteratively conceptualize, design and build data-driven analytical models
Develop processes and tools to monitor and analyze model performance and data accuracy
Translate deep mathematical concepts and practices into language that non-experts can understand and build upon.
And conversely, translate business needs and user needs into language and concepts that other data scientists can understand and work with.
Productionalizing machine learning code and interfacing with industry standard software systems
Understand and manipulate unstructured data from different platforms.
Demonstrate proficiency at real-world modeling problems/DS problems – getting to a result that demonstrably generate business value
Required Qualifications
Bachelor’s or advanced degree in a relevant field (Computer Science, Operations Research, Statistics, Applied Math.
.
.
) and 2+ years’ experience applying advanced AI techniques to real-world problems.
About your previous experience(required):
Experience implementing a breadth of different modeling approaches/ techniques in machine learning
Experience manipulating and preparing large, heterogeneous data sets to support advanced analytics
Demonstrated ability to iteratively conceptualize, design and build data-driven analytical models
Hands on experience with common analysis tools (SQL and Python).
Demonstrable familiarity with c
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