Data Scientist

• 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 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

• 2+ years 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, 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 priortize parallel tasks well.
• Ability to translate business needs into data science / analytical initiatives.

• Experience developing OR - Optimization models like inventory and network optimization, have hands on experience in Linear Programming.
• Experience in Observability domain is a bonus.
• Experience in Reinforcement Learning models.
• Experience of deploying and managing ML models in production environments is a plus.

Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes. 

If you require a reasonable accommodation to complete any part of the application or recruiting process, please visit https://newrelic.avature.net/accommodations to submit your request.

Our hiring process

Please note that visa sponsorship is not available for this position.

In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers’ means that a criminal background check is required to join New Relic.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.

New Relic is proud to be an equal opportunity employer. We foster a diverse, equitable, and inclusive environment, free from all types of discrimination, so our Relics can thrive. We hire people with different backgrounds, experiences, abilities and perspectives.

Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics.