Data Scientist

Ambient Scientific India Pvt Ltd is Hiring: Data Scientist Bengaluru(multiple openings).

Proven experience as a Data Scientist (Minimum experience 5 Years less than that please ignore .

We are looking forexperiencedData Scientistto join our growing Technical team in Bengaluru. The ideal candidate will lead the team of high-performancein data mining, collection and cleaning engineers and work closely with business teamidentify issues and use data to propose solutions for effective decision making .

Responsibilities ::

As a data scientist, you'll need to:

• build algorithms and design experiments to merge, manage, interrogate, and extract data to supply tailored reports to colleagues, customers, or the wider organisation
• use machine learning tools and statistical techniques to produce solutions to problems
• test data mining models to select the most appropriate ones for use on a project
• create clear reports that tell compelling stories about how customers or clients work with the business
• assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• Develop POCs based on new ideas or technology, popularize new innovations in retailand analytics with internal/external stakeholders.
• horizon scan to stay up to date with the latest technology, techniques, and methods
• conduct research from which you'll develop prototypes and proof of concepts
• look for opportunities to use insights/datasets/code/models across other functions in the organisation (for example in the HR and marketing departments)
• stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

What to expect

Data science is a collaborative area, with many people sharing their methodologies and insights, so you should be prepared to share your ideas and solutions with your wider team.

Roles are usually office-based, and a large proportion of your time will be spent at your desk. You'll be encouraged to learn as much about the business as you can to help identify solutions to problems.

Skills

Experience in data mining, collection and cleaning.

Understanding of Feature Engineering, Statistical Engineering & EDA.

Understanding of machine-learning concepts (Regression and Classification Algorithms) & Deep Learning Concepts (ANN, CNN, GRU, RNN, LSTM) Opencv.

Knowledge on Frameworks like Tensorflow, Caffe, Pytorch, Tflite.

StrongKnowledge& GraspofPythonandC.

Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)

Analytical mind

Strong math skills (e.g., statistics, algebra)

Problem-solving aptitude

Excellent communication and presentation skills