| Company | New Relic |
| Job title | Data Scientist |
| Job location | Bangalore, Karnataka, India |
| Type | Full Time |
Responsibilities:
- Conduct multiple experiments using different ML techniques for defined objectives of regression/classification/clustering tasks.
- Develop prototypes for end-to-end ML solutions from pre-processing to the model evaluation stages.
- Perform basic and advanced data analysis to uncover trends and correlations in the data. Utilize statistical methods to drive insightful
- recommendations for process improvements.
- Be abreast of the advanced research and techniques in the ML and Deep Learning space to adopt the latest techniques for experimentation and
- prototype-building.
- Design and analyze A/B tests with appropriate statistical methods
- Communicate data-driven recommendations internally in the team and externally
Requirements & Skills:
- 2+ years of proven experience as a Data Scientist, or in a similar role.
- Master’s degree in Machine Learning, Statistics, Mathematics, Computer Science, or related quantitative field.
- Strong proficiency in scripting language, Python.
- Proficiency in data querying languages (SQL) and data visualization tools (Tableau/Looker/PowerBI).
- Proficiency in Machine Learning techniques – both ML Breadth and Depth.
- Proficiency in ML model development process including but not limited to Feature Selection, Feature Engineering, Pre-processing and Post-processing, and Hyperparameter tuning.
- Familiarity with common ML/NLP libraries such as PyTorch, Tensorflow, HuggingFace Transformers, and SpaCy.
- Familiarity with AWS/Azure/GCP tech stack (AWS Sagemaker, Redshift, S3, EC2, Glue, etc.)
- Good technical communication skills, ability to work independently and prioritize parallel tasks well.
- Ability to translate business needs into data science / analytical initiatives.
Bonus points if you have
- Experience developing OR – Optimization models like inventory and network optimization, and have hands-on experience in Linear Programming.
- Experience in the Observability domain is a bonus.
- Experience in Reinforcement Learning models.
- Experience in deploying and managing ML models in production environments is a plus.
