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Top Data Science Jobs in India
As a Data Scientist at Meesho, you will develop models, run experiments, improve product usability, understand reseller preferences, design discount programs, mentor junior data scientists, and more. Requires Bachelor's/Master's degree in computer science, 1-2 years of experience in a fast-paced organization, familiarity with Neural Networks, Machine Learning, SQL, R, Python, and strong analytical skills.
As a Data Scientist III, you will enhance data productivity, develop models, improve product usability, and mentor junior data scientists while collaborating with business stakeholders to turn data into actionable insights.
The Senior Data Scientist will analyze datasets to extract insights, collaborate with stakeholders for data-driven solutions, and develop machine learning models. Responsibilities include monitoring and improving model performance and communicating findings effectively to non-technical teams.
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The Data Scientist will manage client delivery by developing data science-based solutions, handling data integrity, creating and maintaining ML/DL models, and recommending improved data collection methods. Responsibilities also include collaborating with stakeholders to address business problems using analytical techniques.
As a Full-Stack Lead Data Scientist at Kyndryl, you will develop and deploy end-to-end data science solutions, collaborate with data engineers and scientists, design machine learning models, develop APIs for integration, manage data integrity, and create advanced visualizations to support business decision-making.
The Sr Data Scientist will collaborate with various stakeholders to identify business opportunities and develop customized algorithms. Responsibilities include creating scalable optimization models, translating analytic insights into actionable recommendations, mentoring team members, and developing dashboards to present results.
As a Senior Data Scientist, you will lead data science projects to derive insights that enhance decision-making and operational efficiency while collaborating with multiple teams. Your work will include building machine learning models, leveraging statistical techniques, and providing actionable insights to improve the delivery platform.
The Senior Data Scientist will develop innovative data science solutions to address complex business problems, deliver end-to-end solutions using advanced ML algorithms on large datasets, and communicate effectively with diverse audiences. The role involves mentorship of junior staff and adherence to ethical practices.
As a Data Scientist, you will analyze television usage data, create custom analytical solutions, and communicate findings to stakeholders while managing projects within a team. The role involves statistical modeling, managing large data files, and developing innovative solutions in a media research context.
As a Staff Data Scientist, you will leverage machine learning solutions at Walmart scale, solve complex problems with data, collaborate across teams for impactful business solutions, and present actionable insights to drive business improvements.
As a Data Scientist II, you will develop and optimize AI-driven data science solutions, implement machine learning models, and collaborate with cross-functional teams to enhance search and content discovery features on the Seismic platform.
The Associate Lead - Data & AI will drive innovation, solve complex problems, and support business growth by implementing AI solutions, managing data engineering tasks, and providing technical leadership. Responsibilities include building data pipelines, system integration, presales support, and educating teams on new tools and solutions.
The Sr. Data Scientist will manage the global rollout of the iDeal project, enhance the user support platform, apply AI in deal-making, analyze data from iDeal, and provide performance assessments while documenting best practices for data integration.
The Data Scientist will design, optimize, and deploy models using large-scale data systems while conducting independent research. Responsibilities include data preprocessing, applying algorithmic thinking, contributing to AI/ML initiatives, and refining models based on metrics. A strong background in machine learning and NLP is emphasized.
The Data Scientist will design and implement data-driven solutions using machine learning, analyze large datasets for business insights, and integrate data science solutions into products. The role involves working with cloud platforms and generative AI technologies.
The Principal Data Scientist will lead the development and optimization of deep learning models and AI solutions for food companies, utilizing advanced neural network architectures and integrating diverse data sources. Responsibilities include MLOps practices, GPU programming, and expertise in NLP, aiming to enhance product innovation through data-driven insights.
Seeking a Senior Data Scientist with strong technical foundation in data science and machine learning. Responsible for implementing machine learning models, data enrichment, feature selection, model evaluation, and deployment. Collaborate with product, sales, and engineering teams to shape the final solution. Attend client meetings to discuss solutions and provide insights.
As a Senior Data Scientist at Target, you will develop and manage predictive algorithms, perform data exploration and analysis, implement algorithmic solutions, and follow best practices in model development while collaborating with Product teams and adhering to agile processes.
As a Data Scientist in the Data Solutions group, you will develop automated processes and optimize NLP models, derive insights from large datasets, and collaborate with teams to integrate solutions. You will enhance existing products and provide actionable intelligence for clients and stakeholders in the capital markets space.
As a Data Scientist III, you will research and develop computer vision and machine learning algorithms, design software systems for retail, and solve complex problems related to product detection and recognition. This role requires collaboration with teams to enhance solutions and maintain knowledge of current technologies.
The Data Scientist role at Encora involves working with machine learning and MLOps technologies. Responsibilities likely include developing algorithms, analyzing data, and contributing to digital engineering projects.
The PMO Analyst will maintain systems for data collection, storage, and analysis. Responsibilities include building data architectures, developing processing algorithms, and collaborating with data scientists to deploy machine learning models. The role emphasizes risk management, policy development, and effective communication of complex information to stakeholders.
The Senior Data Scientist will research and implement Machine Learning (ML) and Natural Language Processing (NLP) methods to enhance user experience on IP & Science data platforms. Responsibilities include developing validation tests for various approaches and identifying new applications of ML and NLP. The role involves collaborating with product and technology teams across different global locations.
The Data Scientist will research and implement NLP algorithms and tools, develop applications, and refine NLP models, collaborating with various business teams to enhance customer engagement. Ideal candidates will have a strong technical background in NLP and machine learning, along with a passion for innovation and problem-solving.
The Sr. Data Scientist at Ai Palette will work on NLP techniques, generative AI models, design neural networks for image recognition and NLP, build optimization models and recommendation engines, and implement graph-based models. The role focuses on leveraging AI to meet consumer needs in the food industry.
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