Data Scientist

We are seeking an experienced and dynamic Data Scientist to join our team. You will develop ML solutions for customer problems from scratch utilizing large complex data sets of both structured and unstructured formats. Your responsibilities will include developing, prototyping and productionizing ML models. You will have broad expertise in ML techniques including Conventional ML (both supervised and unsupervised), Deep Learning and GenAI/LLMs. With a start-up growth story, these are exciting times for New Relic to make a significant impact on AI. Observability and even more exciting for Data Scientists to join us and contribute to that journey.
- **Role: Data Scientists**:

- **Location: Bangalore**:

- **Experience: 3+ Years**:

- **Job Type: Full Time Employment**

**What You'll Do**:

- 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

**Expertise You'll Bring:                      **
- 3+ 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 prioritizeparallel tasks well.
- Ability to translate business needs into data science / analytics initiatives.

**Benefits**:

- Competitive salary and benefits package
- Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
- Opportunity to work with cutting-edge technologies
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
- Annual health check-ups
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

**Our company fosters a values-driven and people-centric work environment that enables our employees to**:

- Accelerate growth, both professionally and personally
- Impact the world in powerful, positive ways, using the latest technologies
- Enjoy collaborative innovation, with diversity and work-life wellbeing at the core
- Unlock global opportunities to work and learn with the industry’s best

**Let’s unleash your full potential at Persistent**
- **“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”**_

**Benefits**:

- Food provided
- Health insurance
- Life insurance
- Provident Fund

Schedule:

- Day shift

Supplemental Pay:

- Performance bonus
- Yearly bonus

**Experience**:

- total work: 3 years (preferred)
- Data Scientist: 3 years (preferred)

Work Location: In person