Data Scientist

DS algos for RNN, GNN networks, ML FLow, knowledge of LLMs and embeddings.Being able to develop a production grade prediction ML model from several data sources with data in Azure blob/ DatabricksNeed to know how to execute A/B testing and prove quantitatve ML model improvementsStack: Azure, DataBricks, python, optional: RRelevant 8 years in Python Development in Data Science Domain.Bachelor's in a highly analytical discipline, like Statistics, Economics, Computer Science, Mathematics, Operations Research, etc.   Responsibilities Hands on Experience in Python Development with an emphasis in Data Science & ETL.Build CI/CD pipelines orchestration by Azure devops or similar toolsSQL Experience in Data Manipulation & Analysis.Data science models testing, validation and tests automationCommunicate with a team of data scientists, data engineers and architect, document the processes   Requirements Overall 7-8 years of experience in machine learning projects end-to-end.Advanced Python software development skills (Pandas, NumPy, Matplotlib, SciPy, SQLite 3, Native data structures in Python: Nested Lists, Nested Dictionaries)Managing entire Data Science Life Cycle which includes Data Acquisition, Data Cleaning & Engineering, Features Scaling & Engineering, Statistical Modelling (Decision Trees, Regression Models, Clustering etc)Expertise in transforming business requirements into analytical models, designing algorithms, building models, developing data mining and reporting solutions across structured and unstructured data.Knowledge of machine learning frameworks: TensorFlow, PyTorch, Keras, Scikit-LearnFamiliarization with Statistical Methods, Analysis and theory (Linear Regression, Confidence Intervals)Familiarization with M&S theory (Stochastic, Deterministic, Monte Carlo, Heuristic, Discrete Event)Experience in API integration and data feeds with social analytics(Facebook, Instagram, Twitter).Experience in Databricks, Azure DataLake Gen2 and other Azure ML ServicesBuilt Python & Rest APIs to easily add data into the Data Models Ability to understand tools used by data scientist and experience with software development and test automation