Data Scientist

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 DevOps. 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.

We are looking for experience of 10 to 15 years only. Please apply only if you match the experience level

Location- Bangalore and Noida.

Please share CV to monica_sharma@hcl-software.com 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, RapidMiner, KNIME, scikit, AzureML, Sagemaker, ModelBuilder etc.)
• Familiarity with ML tools and packages like OpenNLP, Caffe, TensorFlow 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