CogniTensor - Data Scientist

Data Science Role

About the company :

CogniTensor is a technology company that brings data to the heart of decision-making by using a SAAS business model. CogniTensor leverages its product, DeepOptics - an integrated MLOps environment - to implement AI/ML-driven products using research-based algorithms. Cognitensor has implemented diverse use cases in multiple industries like Energy, Commodity, Retail & Manufacturing with a proven track record.

Website: https://www.cognitensor.com/

We are looking for :

We are looking for a Data Scientist to help us gain useful insight out of raw data and to help improve our products and business decisions by making the most out of our data.

Qualification & Experience :

- Degree in Computer Programming, Computer Science, or a related field from a reputed institute

- 1+ years of experience and must have delivered analytics projects in a product based company

- Experience in retail, finance, manufacturing domain

Role & Responsibilities :

- As a Data Scientist, you will be responsible for building statistical models.

- To implement forecasting solutions using ML.

- To work independently and in a team to research innovative solutions to challenging business problems.

- Organizing, managing, and leading multiple Data Science projects in a fast-paced IT environment

- Planning and delivering within budget and on time and to customer satisfaction.

- Planning and managing Product Updates & Improvement Roadmap

- Tracking and reviewing team performance by regular reviews for all the areas and ensuring their adherence to the delivery schedule and the project's objectives.

- Regular Review and Report to top Management.

Technical Skills :

Must Have :

- Expertise in Python

- Experience in building statistical models and various regression techniques / predictive modeling techniques

- Experience in forecasting solutions using ML for customers in Retail or Finance

- Strong Statistical background

- Experience in delivering analytics projects

- Broad experience with various modeling algorithms, data mining tools, data analysis tools, and statistical packages

- Expertise in applying predictive modeling techniques (model training, logistic regression, etc), statistics, and information retrieval methods to real-world data.

- Attention to detail and data accuracy

- Very good Technical Documentation Skills

- Excellent written & oral communication skills

- Organizational skills

Good to Have :

- Familiarity with Technical Stacks: Cloud Architecture, Databases, Data Science Workflow, Software Development Life-Cycle, Testing Coverage

What's in for you :

- An opportunity to lead a business segment

- Extensive liaising with customers and partners

- A rewarding career progression