Data Scientist

5-7 years of experience manipulating data sets and building statistical models Collaborate with data scientists, engineers, and stakeholders to understand therequirements and objectives of machine learning projects and ensure alignment with theoverall vision and strategy. Develop and implement end-to-end machine learning pipelines, from data ingestion andpreprocessing to model training and evaluation, to deployment and monitoring. Use statistical computer languages (R, Python, SQL, etc.) to manipulate data and drawinsights from large data sets. Mine and analyze data from company databases to drive optimization and improvement ofproduct development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Use predictive modeling to increase and optimize customer experiences, revenuegeneration, ad targeting and other business outcomes. Architecting and implementing high-performance RESTful microservices. Perform version control using tools in Repositories for code maintenance and re-usage. Package Machine Learning models for deployment in various environments Design and develop POC dashboards using tools like Streamlit Coordinate with different functional teams to implement models and monitor outcomes. Knowledge of a variety of machine learning techniques (clustering, decision tree learning,artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties ofdistributions, statistical tests and proper usage, etc.) and experience with applications. Strong problem-solving skills with an emphasis on product development. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques.Skills preferred:Minimum 3 years experience in statistical and data mining techniques: GLM/Regression,Random Forest, Boosting, bagging, Trees, text mining, etc. >5 years Experience querying databases and using statistical computer languages: R,Python, SQL, etc. Experience working IOT sensor data/ Machine Utilization Experience with Databricks: Strong familiarity and practical experience withDatabricks for data exploration, processing, and model development. Experience with Time Series Modelling using Models like, ARIMA, Sarima, Prophet,LSTM Experience with big data techniques (such as Hadoop, MapReduce, Hive, Pig, Spark) Experience visualizing/presenting data for stakeholders using: Power BI, Streamlit Should know following frameworks : TensorFlow, PyTorch, Caffe, Keras.5-7 years of experience in applied machine learning, deep learning, and AI research.Work experience with Large Language Models (LLMs), including Open Source models, and LangChain Frameworks.Work experience with designing, building, and implementing agentic model development.Design, implement, and manage data pipelines using Azure services (Azure Data Factory, Azure Databricks, Azure OpenAI Service, Azure DevOps).Build and deploy APIs using FastAPI and gRPC.Work experience with databases including MongoDB, SQL, and PostgreSQL.