Bengaluru, Karnataka, India
Actively hiring, first seen by us 1 day agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Develop and deploy operations research models for resource allocation and logistics
Build end-to-end NLP pipelines for text mining and sentiment analysis
Design and fine-tune CNN, RNN and Transformer models for vision and language tasks
Write Python code and complex SQL queries for data extraction and analysis
Mentor junior data scientists and give technical guidance on best practices
Develop and deploy scalable operations research models for resource allocation and logistics optimization.
Engineer end‑to‑end NLP pipelines for text mining, sentiment analysis, and unstructured data transformation.
Design, train, and fine‑tune deep learning architectures (CNN, RNN, Transformer) for vision and language tasks.
Write efficient, maintainable Python code and complex SQL queries to support data extraction and analysis.
Mentor junior data scientists and provide technical guidance on best practices.
2+ years of industry experience as a senior data scientist or equivalent role.
Deep expertise in operations research, including linear programming, stochastic optimization, and simulation.
Experience deploying models in production using Docker, Kubernetes, or similar container orchestration tools.
Strong communication abilities to effectively share findings with stakeholders at all levels.
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
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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 end‑to‑end machine learning pipelines, leveraging Python and SQL to extract, clean, and model complex datasets. You will collaborate closely with cross‑functional teams, translating business challenges into data‑driven 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 non‑technical stakeholders. Requirements
• Design, train, and fine‑tune deep learning architectures (CNN, RNN, Transformer) for vision and language tasks. • Write efficient, maintainable Python code and complex SQL queries to support data extraction and analysis. • Conduct rigorous statistical analysis and probabilistic modeling to quantify uncertainty and risk.
• Hands‑on mastery of deep learning frameworks such as TensorFlow or PyTorch. • Strong programming proficiency in Python, along with advanced SQL querying skills. • Solid foundation in probability theory and Bayesian statistics.
• Solid foundation in probability theory and Bayesian statistics. • Experience deploying models in production using Docker, Kubernetes, or similar container orchestration tools. • Excellent problem‑solving skills and the ability to translate complex data problems into clear, actionable solutions.
• Proven track record in natural language processing, with experience in tokenization, embeddings, and transformer‑based models. • Hands‑on mastery of deep learning frameworks such as TensorFlow or PyTorch. • Strong programming proficiency in Python, along with advanced SQL querying skills.
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀
𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟲𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟴𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟲-𝟮𝟴 𝗟𝗣𝗔)
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 end‑to‑end machine learning pipelines, leveraging Python and SQL to extract, clean, and model complex datasets. You will collaborate closely with cross‑functional teams, translating business challenges into data‑driven 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 non‑technical stakeholders.
Requirements
𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀
• Develop and deploy scalable operations research models for resource allocation and logistics optimization.
• Engineer end‑to‑end NLP pipelines for text mining, sentiment analysis, and unstructured data transformation.
• Design, train, and fine‑tune deep learning architectures (CNN, RNN, Transformer) for vision and language tasks.
• Write efficient, maintainable Python code and complex SQL queries to support data extraction and analysis.
• Conduct rigorous statistical analysis and probabilistic modeling to quantify uncertainty and risk.
• Collaborate with data engineers to ensure data quality, pipeline reliability, and system performance.
• Perform benchmark studies and comparative evaluations of algorithms and models.
• Mentor junior data scientists and provide technical guidance on best practices.
• Stay current with emerging research, tools, and techniques in operations research and NLP.
• Communicate insights and recommendations through executive‑level presentations and reports.
𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗬𝗼𝘂 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁
• 2+ years of industry experience as a senior data scientist or equivalent role.
• Deep expertise in operations research, including linear programming, stochastic optimization, and simulation.
• Proven track record in natural language processing, with experience in tokenization, embeddings, and transformer‑based models.
• Hands‑on mastery of deep learning frameworks such as TensorFlow or PyTorch.
• Strong programming proficiency in Python, along with advanced SQL querying skills.
• Solid foundation in probability theory and Bayesian statistics.
• Experience deploying models in production using Docker, Kubernetes, or similar container orchestration tools.
• Excellent problem‑solving skills and the ability to translate complex data problems into clear, actionable solutions.
• Strong communication abilities to effectively share findings with stakeholders at all levels.
• A passion for continuous learning and staying abreast of the latest research and industry trends.
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Bengaluru, Karnataka, India
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