Data Scientist

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.