๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฒ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฎ๐ด๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฒ-๐ฎ๐ด ๐๐ฃ๐)
Experience: 2+ yrs
Location: Hyderabad, Telangana, India, Bengaluru
As a Sr Data Scientist, you will spearhead advanced analytical initiatives that fuse Operations Research, Natural Language Processing, and Deep Learning to unlock actionable insights and drive decision-making across multiple domains. Your role will involve designing and implementing endโtoโend machine learning pipelines, leveraging Python and SQL to extract, clean, and model complex datasets. You will collaborate closely with crossโfunctional teams, translating business challenges into dataโdriven solutions and ensuring the scalability and robustness of solutions in production environments. With a focus on probabilistic modeling and optimization, you will continually refine models, evaluate performance, and communicate findings to both technical and nonโtechnical stakeholders.
Requirements
๐๐ฒ๐ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐
โขDevelop and deploy scalable operations research models for resource allocation and logistics optimization.
โขEngineer endโtoโend NLP pipelines for text mining, sentiment analysis, and unstructured data transformation.
โขDesign, train, and fineโtune deep learning architectures (CNN, RNN, Transformer) for vision and language tasks.
โขWrite efficient, maintainable Python code and complex SQL queries to support data extraction and analysis.
โขConduct rigorous statistical analysis and probabilistic modeling to quantify uncertainty and risk.
โขCollaborate with data engineers to ensure data quality, pipeline reliability, and system performance.
โขPerform benchmark studies and comparative evaluations of algorithms and models.
โขMentor junior data scientists and provide technical guidance on best practices.
โขStay current with emerging research, tools, and techniques in operations research and NLP.
โขCommunicate insights and recommendations through executiveโlevel presentations and reports.
๐ช๐ต๐ฎ๐ ๐ ๐ฎ๐ธ๐ฒ๐ ๐ฌ๐ผ๐ ๐ฎ ๐๐ฟ๐ฒ๐ฎ๐ ๐๐ถ๐
โข2+ years of industry experience as a senior data scientist or equivalent role.
โขDeep expertise in operations research, including linear programming, stochastic optimization, and simulation.
โขProven track record in natural language processing, with experience in tokenization, embeddings, and transformerโbased models.
โขHandsโon mastery of deep learning frameworks such as TensorFlow or PyTorch.
โขStrong programming proficiency in Python, along with advanced SQL querying skills.
โขSolid foundation in probability theory and Bayesian statistics.
โขExperience deploying models in production using Docker, Kubernetes, or similar container orchestration tools.
โขExcellent problemโsolving skills and the ability to translate complex data problems into clear, actionable solutions.
โขStrong communication abilities to effectively share findings with stakeholders at all levels.
โขA passion for continuous learning and staying abreast of the latest research and industry trends.