Data Scientist - Part-Time

Job Description

·      We are looking for an experienced Data Scientist to design, develop, and deploy Advanced Analytics, Machine Learning (ML), and Generative AI solutions that solve complex business challenges. 

·      You will collaborate with business stakeholders, project managers, data engineers, and software teams to transform large, complex datasets into actionable insights and production-ready AI solutions. 

 Key Responsibilities 

·      Applied Data Science & Advanced Analytics 

·      Translate business challenges into scalable analytics and AI solutions. 

·      Design end-to-end data science workflows including: Data Preparation Feature Engineering Model Development Model Validation Production Deployment 

·      Apply: 

o   Statistical Analysis 

o   Machine Learning 

§  Natural Language Processing (NLP) 

·      Optimization 

·      Simulation Techniques 

o   Build predictive, classification, clustering, recommendation, and forecasting models. 

·      Machine Learning Engineering 

o   Develop scalable ML models for production environments. 

o    Build analytics pipelines using: 

o   Python 📊

·       Apache Spark 

o    Develop Generative AI & Agentic AI solutions using Large Language Models (LLMs). 

o   Deploy and manage models using: 

o   Docker 

o   Kubernetes 

o   MLOps Best Practices 

·      Visualization & Stakeholder Management 

o    Build interactive dashboards using: Tableau Qlik Plotly ggplot2 Shiny 

o   Present insights to technical and business stakeholders. 

o   Act as a trusted advisor for AI and Advanced Analytics initiatives.

Required Skills & Qualifications 

·      Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, AI, or a related discipline. 

·      5+ Years of experience in Data Science & Machine Learning. 

·      Machine Learning (Supervised & Unsupervised) 

·      Statistical Analysis 

·      Feature Engineering 

·      Predictive Analytics 

·      Natural Language Processing (NLP) 

·      Optimization & Simulation 

·      Programming 

·      Python 

·      R ⚡ Big Data 

·      Apache Spark 

·      AI 

·      Large Language Models (LLMs)

·       Generative AI 

·      Agentic AI

·       MLOps

·      Docker 

·      Kubernetes 

·      Model Deployment 

·      Data Visualization 

·      Tableau 

·      Qlik 

·      Plotly 

·      ggplot2 

·      Shiny 

·      Excellent communication, presentation, and stakeholder management skills.