Senior Data Scientist

Skills : Traditional DS+ NLP+DL+AI

Job Role : Data Sciences - GENAI Engineer

Grade : P3 / P4

Location : Bangalore - Face 2 Face Interview -13th September

Job Description : We are looking for a Data Scientist who will support building AI tools for customers The candidate should be skilled at using large data sets to find opportunities for product and process optimization The candidate must have a proven ability to drive business results with their databased insights The candidate must be comfortable working with a wide range of stakeholders and functional teams Responsibilities for Data Scientist :

• Work with stakeholders to identify opportunities for leveraging data to drive business solutions
• Mine and analyse data from databases to drive optimization and improvement of product development and business strategies
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom models and algorithms to apply to data sets
• Use predictive modelling to increase and optimize customer experiences
• Coordinate with different functional teams to implement models and monitor outcomes
• Analyse large amounts of information to discover trends and patterns
• Build predictive models and machinelearning algorithms
• Present information using data visualization techniques
• Good to have a knowledge of ML lifecycle and model governance
• Develop and Deploy advanced Generative AI large language models Azure OpenAI Machine Learning and Deep Learning Modelsalgorithms to enhance andor automate existing business processes with predictive and intelligent decision making content aggregation and contextualized insights
• Have experience in developing productionlevel Gen AI solutions by utilizing Azure OpenAI services
• Familiar with prompt engineering retrievalaugmented generation Llama index Vector DB and finetuning of opensource LLMs Qualifications for Data Scientist
• Looking for someone with 5-8 years of experience manipulating data sets and building statistical models having bachelors or masters degree in Statistics Mathematics Computer Science or another quantitative field and is familiar with the following softwaretools
• Experience using statistical computer languages R Python etc to manage data and draw insights from large data sets
• Knowledge of a variety of machine learning techniques clustering decision tree learning artificial neural networks XGBoost KNN SVM ANN etc
• Knowledge of advanced statistical techniques and concepts regression properties of distributions statistical tests and proper usage etc and experience with applications
• Knowledge and experience in statistical and data mining techniques GLMRegression Random Forest Boosting Trees text mining social network analysis etc
• Experience creating and using advanced machine learning algorithms and statistics regression simulation scenario analysis modeling clustering decision trees neural networks etc
• Experience visualizingpresenting data for stakeholders
• Experience with Snowflake will be an added advantage
• Experience in deployment of machine learning models using cloud technologies