Data Scientist

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟲𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟭𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟲-𝟭𝟬 𝗟𝗣𝗔)

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 cross‑functional teams to transform raw data into actionable insights, applying cutting‑edge machine learning techniques such as KNN, Naïve 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

𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀

• Develop and validate predictive models using machine learning algorithms (KNN, Naïve Bayes, SVM).
• Perform comprehensive statistical analyses to uncover patterns and test hypotheses.
• Design and maintain scalable data pipelines using Python and related libraries.
• Collaborate with product and engineering teams to integrate models into production systems.
• Conduct feature engineering and selection to enhance model accuracy and efficiency.
• Evaluate and benchmark model performance against industry standards.
• Document methodologies, model assumptions, and results for reproducibility.
• Present complex findings in clear, actionable terms to non‑technical stakeholders.
• Stay updated on the latest research in machine learning and data science.
• Mentor junior data scientists and analysts, fostering a culture of continuous learning.

𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗬𝗼𝘂 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁

• Bachelor’s or Master’s degree in Computer Science, Statistics, or a related field.
• 2+ years of professional experience in data science or analytics roles.
• Strong proficiency in Python, including libraries such as scikit‑learn, pandas, and numpy.
• Hands‑on experience with KNN, Naïve Bayes, and SVM algorithms in real‑world projects.
• Solid understanding of statistical testing, hypothesis formulation, and data interpretation.
• Ability to build and deploy machine learning models in production environments.
• Excellent problem‑solving skills with a data‑driven mindset.
• Strong communication skills and the ability to translate technical insights to business stakeholders.
• Proven track record of collaborating with cross‑functional teams to achieve project goals.
• Passion for continuous learning and staying abreast of industry advancements.