KiE Square Analytics - Full Stack Data Scientist - Python/SQL

KiE Square is looking for a passionate and experienced Full Stack Data Scientist to join our Analytics Consulting team. The ideal candidate will possess a strong blend of technical expertise, analytical thinking, and business consulting skills.You will be responsible for developing and deploying scalable machine learning solutions, building end-to-end data pipelines, and translating analytical insights into actionable business strategies for our clients.

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• Partner with clients to understand business challenges and identify data-driven opportunities.
• Design, build, and deploy end-to-end machine learning models and analytical solutions tailored to client objectives.
• Develop data ingestion, transformation, and modelling pipelines using modern data engineering tools.
• Translate analytical outcomes into clear business insights, dashboards, and recommendations.
• Work closely with consulting teams to integrate analytics into decision-making frameworks.
• Build and maintain production-ready APIs and ML workflows for scalable model deployment.
• Implement MLOps practices for continuous integration, deployment, and performance monitoring.
• Mentor junior team members and contribute to internal best practices in analytics and data science.
• Education : Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Economics, or related field.
• Experience : 5 to 7 years in analytics consulting, applied data science, or end-to-end AI/ML solution development.
• Proven experience in problem framing, model development, and production deployment.
• Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.) and SQL.
• Hands-on experience with data engineering tools (Airflow, Spark, or Databricks).
• Exposure to cloud environments such as AWS, Azure, or GCP.
• Ability to analyse structured and unstructured data from multiple sources.
• Experience in model interpretability, A/B testing, and business impact measurement.
• Strong client communication, storytelling, and presentation skills.
  

(ref:hirist.tech)