Data Scientist

About the Company

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

About the Role

Responsibilities include analyzing raw data, assessing quality, cleansing, and structuring for downstream processing, designing accurate and scalable prediction algorithms, collaborating with the engineering team to bring analytical prototypes to production, and generating actionable insights for business improvements.

Responsibilities

Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements

Qualifications

Education Requirements: Masters in Engg from a reputed Indian institutes in the area of Statistics, Machine Learning, AI, Computer Science, etc. is preferred. 2 to 5 years experience

Required Skills

Expertise in cutting edge technologies in applied deep learning, Machine learning and AI in one or more of the following fields:

Supply chain analytics: Inventory Optimization, demand forecasting Sales Domain: Recommendation systems, Customer Segmentation, Price Elasticity Manufacturing analytics: Root cause analysis, scrap reduction, cycle time reduction, warranty analytics Computer Vision Gen AI: RAG, Agentic RAG, Graph RAG, Chain of Thoughts, Tree of Thoughts, Content Extraction, Content summarization, Chat application, LangChain

Strong expertise in Python Work experience in preparing data which includes preprocessing, feature selection, imputation, cleansing, transformation using Python Work experience in data exploration techniques, such as, mean-variance, k-means, nearest-neighbor, outlier techniques, and correlate anomalous sequences of events. Proven track record and experience with machine learning algorithms such as:

Multivariate Regression, classification models, clustering algorithms, support vector machine, decision tree, random forest, neural network etc. DOE, Forecasting, Segmentation, Uncertainty Analysis etc.

Work experience in development of API, Web applications using Flask/Django will be an added advantage. Model deployment knowledge in Azure / AWS, etc. will be an advantage Deployment experience with Docker, CI & CD will be an advantage

Preferred Skills

Experience with deployment in cloud environments Familiarity with CI/CD practices

Pay range and compensation package

Details regarding pay range or salary or compensation will be provided during the interview process.

Equal Opportunity Statement

We are committed to diversity and inclusivity in our hiring practices.