๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฒ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ญ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฒ-๐ญ๐ฌ ๐๐ฃ๐)
Experience: 2+ yrs
Location: Bengaluru, Chennai
As a Data Scientist, you will lead the design, development, and deployment of predictive models that drive business decisions across diverse domains. You will collaborate with crossโfunctional teams to transform raw data into actionable insights, applying cuttingโedge machine learning techniques such as KNN, Naรฏve Bayes, and SVM while maintaining rigorous statistical rigor. Your deep expertise in Python and data manipulation libraries will be essential for building robust pipelines, optimizing model performance, and ensuring reproducibility. You will also mentor junior analysts, present findings to stakeholders, and continuously evaluate emerging technologies to keep the organization at the forefront of data innovation.
Requirements
๐๐ฒ๐ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐
โข Develop and validate predictive models using machine learning algorithms (KNN, Naรฏve Bayes, SVM).
โข Perform comprehensive statistical analyses to uncover patterns and test hypotheses.
โข Design and maintain scalable data pipelines using Python and related libraries.
โข Collaborate with product and engineering teams to integrate models into production systems.
โข Conduct feature engineering and selection to enhance model accuracy and efficiency.
โข Evaluate and benchmark model performance against industry standards.
โข Document methodologies, model assumptions, and results for reproducibility.
โข Present complex findings in clear, actionable terms to nonโtechnical stakeholders.
โข Stay updated on the latest research in machine learning and data science.
โข Mentor junior data scientists and analysts, fostering a culture of continuous learning.
๐ช๐ต๐ฎ๐ ๐ ๐ฎ๐ธ๐ฒ๐ ๐ฌ๐ผ๐ ๐ฎ ๐๐ฟ๐ฒ๐ฎ๐ ๐๐ถ๐
โข Bachelorโs or Masterโs degree in Computer Science, Statistics, or a related field.
โข 2+ years of professional experience in data science or analytics roles.
โข Strong proficiency in Python, including libraries such as scikitโlearn, pandas, and numpy.
โข Handsโon experience with KNN, Naรฏve Bayes, and SVM algorithms in realโworld projects.
โข Solid understanding of statistical testing, hypothesis formulation, and data interpretation.
โข Ability to build and deploy machine learning models in production environments.
โข Excellent problemโsolving skills with a dataโdriven mindset.
โข Strong communication skills and the ability to translate technical insights to business stakeholders.
โข Proven track record of collaborating with crossโfunctional teams to achieve project goals.
โข Passion for continuous learning and staying abreast of industry advancements.