Data Scientist

Location: Bengaluru

Company Description

HCL Software is a division of HCL Technologies (HCL) that operates its primary software business. It develops, markets, sells, and supports over 20 product families in the areas of Customer Experience, Digital Solutions, Security & Automation and Dev Ops. Its mission is to drive ultimate customer success with their IT investments through relentless innovation of its products.

As Data Scientist/Researchers you will be responsible for leveraging the established architecture disciplines to help ensure that business strategies align with powerful capabilities of AI/ML to achieve business objectives consistently and cost effectively.

Please share CV to m with the below details:

Total Experience
- Current CTC
- Expected CTC
- Notice Period
- Main Responsibilities

- Propose solutions and strategies to tackle business challenges in AI/ML product
- Operationalizing and architecting ML/AI solutions

Qualifications,

Education and Experience:

- Phd, Masters or Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, Mathematics with at least 10+ years in ML/AI
- Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains.
- Proven ability to rationalize disparate data sources and the ability to intuit the large picture within a dataset
- Experience in solving client's analytics problems and effectively communicating results and methodologies
- Software development skills in one or more scripting language preferably python, and common ML tools (Weka, R, Rapid Miner, KNIME, scikit, Azure

ML, Sagemaker, Model Builder etc.)
- Familiarity with ML tools and packages like OpenNLP, Caffe, Tensor Flow etc.
- Knowledge of MLOps pipeline
- Knowledge of machine learning and data mining techniques in one or more areas of statistical modeling methods
- Anomaly detection
- Regression, classification, clustering
- Deep learning
- Survival analysis
- Similarity and recommendation
- Forecasting
- Strong oral and written communication skills, including presentation skills
- Strong problem solving and troubleshooting skills