Data Scientist - Hyderabad, India - GEEKBULL CONSULTING

Description

Job Title - Data Scientist

Experience - 2 + Years

Location - Hyderabad

Mode - Work From Office


About Company:
GeekBull Consulting is a product engineering and technology consulting firm headquartered in Hyderabad, India.

We are a team of passionate people and our focus is on continuous engineering and complex problem solving through cutting-edge technologies.

With services spanning across the product lifecycle from idea to market, we deliver world-class solutions specializing in cloud-native applications, microservices, serverless computing, IoT, IIoT and blockchain.

Our vision is to be a leader in digital transformation by building better products using next-gen technologies


Requirement :

• Should have strong SQL skills and should be able to build automated scripts to fetch data from cloud native relational databases, document databases, key value databases and data warehouses such as and not limited to AWS DynamoDB, AWS Redshift. etc.
• Should have knowledge in conducting various pre modeling statistical tests and analysis on data such as anova, student t tests and chi square etc.
• Should have a strong understanding of different data distributions pertaining to both continuous and discrete forms of data such as and not limited to beta distribution, normal distribution etc.
• Should have deep rooted mathematical and statistical understanding of all the machine learning and deep learning algorithms varying across all types of data such as and not limited to images, text, timeseries, tabular and sensory data, etc.
• Should have experience in model building with python frameworks like and not limited to Keras, Tensorflow and Pytorch, etc
• Should be well versed in working with time series data such as seasonality and stationarity checks and modeling the same with the recurrent neural networks such as and not limited to LSTM and GRU, Recurrent Autoencoders, etc.
• Should have sound working knowledge of Natural Language Processing (NLP) and different Transformers and Diffusion models architectures pertaining to it with experience in working with and not limited to state of the art LLM's.
• Should have experience in production grade model deployment using Docker container images with REST API server architectures and serverless containers in cloud native environments, leading way to MLOps.
• Should have experience in working with post production model maintenance works such as dealing with shift of covariate problems and model retraining.
• Expected to have good working knowledge of different AWS services such as AWS Sagemaker studios, AWS Lambda, AWS EC2, AWS ECR, etc.

Responsibilities :

• Should be able to design and develop solution architectures for the given user requirements for different data science problems.
• Should be able to mentor and manage other team members and handle all end to end project requirements.
• Should have excellent communication skills and soft skills in working with product owners.
• Should be able to take non standard requirements and formulate it to data science solutions for the same.

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