Data Scientist

1 month ago


Orlando, United States Magicforce Full time
  • 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/ Databricks
  • Need to know how to execute A/B testing and prove quantitatve ML model improvements
  • Stack: Azure DataBricks python optional: R
  • Relevant 8 years in Python Development in Data Science Domain.
  • Bachelors 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 tools
  • SQL Experience in Data Manipulation & Analysis.
  • Data science models testing validation and tests automation
  • Communicate with a team of data scientists data engineers and architect document the processes

Requirements

  • Overall 78 years of experience in machine learning projects endtoend.
  • 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 ScikitLearn
  • Familiarization 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 Services
  • Built 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

RNN,GNN networks,,ML FLow,LLMs


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