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Urgent! KiE Square Analytics - Full Stack Data Scientist - Python/SQL Job Opening In Noida – Now Hiring KiE Square Analytics

KiE Square Analytics Full Stack Data Scientist Python/SQL



Job description

<p>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.

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


Required Skill Profession

Mathematical Science Occupations



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