Data Scientist

4 months ago

Bengaluru, India Informatica Full time

**Build Your Career at Informatica**:
We're looking for a diverse group of collaborators who believe data has the power to improve society. Adventurous, work-from-anywhere minds who value solving some of the world's most challenging problems. Here, employees are encouraged to push their boldest ideas forward, united by a passion to create a world where data improves the quality of life for people and businesses everywhere.

**Data Scientist - NLP/Large-Language Models/Deep Learning**:
You will report to the Principal Data Scientist.

**Technology You'll Use**:
NLP/Large-Language Models/Deep Learning

**Your Role Responsibilities? Here's What You'll Do**:

- The role would encompass building analytics, recommendation, and framework and identifying main analytics projects for Global Customer Support, Customer Success focused on Customer analytics. Responsibility cut across teams.
- You will work on data modeling and identifying patterns in Global Customer Support data.
- Generate Models for classifications for Customer Success programs using Machine learning/LLMs.
- Generate taxonomy from customer case data using Natural Language Processor.
- Build a Natural Language processing platform, Data Lake for Customer data
- Derive insights from Structured, semi-structured, and Unstructured data - Supervised and Unsupervised.
- Specify manipulative or computational methods to be applied to models.
- Perform validation and testing of models to ensure adequacy and reformulate models.
- Communicate results to important partners to support informed decisions by providing in-depth recommendations
- Observe the current system in operation and gather and analyze information about each of the parts of component problems, using a variety of sources.

**What We'd Like to See**:

- Knowledge of machine learning techniques like Bayesian, Decision Trees, Neural Networks.
- Knowledge of advanced statistical methods including multivariate modeling statistical methods, and discrete choice modelling.
- Knowledge of Deep Learning and Generative AI models/Prompt Engineering.
- Experience with current industry problems in NLP like Question answering, Sequence modeling
- Experience in Log mining and extractions.
- Hands-on experience building and deploying models in Production.
- Working knowledge of Tensorflow and other Deep Learning frameworks.
- Exposure to Training models on GPU servers and on the cloud.
- Understand/Implementation experience of Neural Network architectures like LSTM, and LSTM with Attention.
- Optimization solutions like constraint-based optimization, and game theory is a bonus.
- Working proficiency in Python and SQL.
- Working proficiency in at least one data mining tool (SAS, SPSS, R, RapidMiner)
- Prior experience with Big Data platforms/tools (Hadoop, MongoDB, Cassandra) and exposure to the Customer Support domain will be added advantages
- **Role Essentials**:

- Enjoy playing with machine learning, Natural Language Processing, Deep Learning, Generative AI, LLM, Prompt Engineering, Data Science Tools, and finding patterns in our customer data.
- BA/BS or equivalent educational background, we will consider an equivalent combination of relevant education and experience
- 3 to 5 years of relevant professional experience.

**Perks & Benefits**:

- Comprehensive health, vision, and wellness benefits (Paid parental leave, adoption benefits, life insurance, disability insurance and 401k plan or international pension/retirement plans
- Flexible time-off policy and hybrid working practices
- Tuition reimbursement program to support your and personal growth
- Equity opportunities and an employee stock purchase program (ESPP)
- Comprehensive Mental Health and Employee Assistance Program (EAP) benefit

We're guided by our DATA values and we are passionate about building and delivering solutions that accelerate data innovations. At Informatica, we know diversity drives innovation. We are proud to be an Equal Opportunity Employer dedicated to maintaining a work environment free from discrimination, one where all employees are treated with dignity.

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