Data Scientist - Analytics - IIT/IIM

Data Scientist (IIT/IIM) position with an Analytics Company in Data Engineering

Overall expectation:

- You will provide data science expertise to projects and drive delivery of high impact solutions.

- You should be conversant with developing models from scratch, including preparing data for ingestion, fine tuning, deployment and maintenance.

- You should have a learner's mindset with a high propensity to learn and experiment with new technologies and methods.

- You need to have strong communication skills to explain logic of action, approach and consequent results.

Background:

- You will be working with a brilliant team of data scientists on niche products which leverage AI and NLP.

- You will be expected to design and run experiments, research new algorithms, and find new ways to improve outcomes.

- Many of the use cases have few parallels, therefore this is a highly experimental & intellectually stimulating activity with theoretical analysis and innovation.

- You'll be responsible for organizing data, building statistical models, analyzing model performance & feature importance, fine tuning, and explaining findings and analysis in a clear and concise manner to relevant stakeholders.

Required Qualifications:

- Experience in data science with 2-6 years of machine learning/statistical modeling data analysis tools and techniques (IIT/IIM Graduates preferred)

- Experience applying theoretical models in an applied environment

- Experience with LLM and fine-tuning models (eg BERT, ROBERTA, etc)

- Deep understanding of machine learning algorithms including but not limited to regression models, classification models, clustering, boosting, and neural networks

- Advanced knowledge of data querying languages (e.g. SQL), scripting languages (e.g. Python)

- Expertise with python libraries such as Numpy, Pandas, Scikit-learn, Matplotlib

- Conversant in key metrics analysis, A/B testing (stratification, propensity score matching, causal trees), ML (regression, classification, clustering), causal inference (diff-in-diff, synthetic controls, Lasso/Ridge)

- Conversant with writing unit tests

- Strong data visualization skills

- Strong Ability to connect and communicate analysis and findings with stakeholders

Nice to haves:

- Experience with vector databases such as Pinecone

- Master's degree in a quantitative field Computer Science, Economics, or Statistics

- Knowledge of deployment and ML pipelines