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Top Data Science Jobs in Bengaluru
The Senior Data Scientist will develop and maintain machine learning models for time series forecasting in the energy sector. Responsibilities include designing workflows for feature engineering, analyzing market trends, deploying containerized solutions, and implementing CI/CD pipelines. The role involves collaboration with cross-functional teams to enhance forecasting capabilities and support team growth.
The Data Scientist & Experimentation Analyst will support the development and evaluation of ML-driven pricing and personalization solutions through statistical analysis, experiment design, and collaboration with ML scientists. Responsibilities include designing experiments, conducting data analysis, supporting ML models, creating visualizations, and performing ad-hoc analysis to drive strategic decisions.
The Senior Associate Data Scientist will analyze complex data sets, develop predictive models, and deploy them in production. They will collaborate with business stakeholders, preprocess data, communicate insights, and support the organization's data science adoption while staying updated with industry trends.
As a Manager Data Science 2, you will lead a team focused on optimizing payment solutions for small and medium businesses at PayPal. Responsibilities include data analysis, managing a team, and presenting strategic insights to influence product improvement using complex statistical models and experimentation.
The Lead Data Scientist will develop predictive models and manage end-to-end client AI and analytics programs. This role involves engaging with clients, handling project management, and providing technical leadership to the data science team. The position requires a deep understanding of machine learning algorithms and significant experience in programming and cloud technologies.
As a Data Scientist, you will enhance productivity through data utilization, develop models for insights, improve product usability, and mentor junior data scientists, focusing on customer preferences and operational efficiencies.
The Principal Data Scientist will guide the execution of AI and analytics programs, translate complex visions into a structured roadmap, manage client engagements, and oversee a team while ensuring delivery of high-quality solutions from large datasets. This role involves hands-on contributions alongside project management responsibilities.
As a Lead Data Scientist, you will design and maintain predictive models for logistics using data science and machine learning. Collaborate with a cross-functional team, ensure business value and technical sustainability, and promote data science best practices.
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As a Data Scientist, you will analyze complex healthcare problems using AI/ML techniques, develop scalable data products, and work with stakeholders to provide insights from data. Responsibilities include deploying machine learning algorithms, optimizing solutions, and leading teams of data scientists.
The Associate Lead Data Scientist will engage with clients to solve complex data science and machine learning problems, manage end-to-end AI and analytics programs, and guide a team of data scientists in delivering solutions. Responsibilities include developing predictive models, project management, and building client relationships.
The Principal Data Scientist will lead the development and implementation of advanced data science models, drive innovation in analytics, and mentor junior team members. Responsibilities include collaborative work with cross-functional teams, conducting data analysis, ensuring model performance, and managing data science projects from inception to completion.
Principal data scientist position at Walmart's Advertising Technology team. Responsible for building end-to-end advertising platform using cutting edge machine learning and data mining algorithms to analyze Walmart's data.
As a Senior Data Scientist at Nielsen, you'll focus on Audience Measurement, working with Meter technology for data collection. Responsibilities include designing analysis plans, developing data pipelines, analyzing complex datasets, creating visualizations, and providing data-driven recommendations while collaborating with various stakeholders.
The Data Scientist will translate business concerns into data science solutions, collaborating with various teams to prototype and deploy models, analyze large datasets, and design experiments to assess model impacts. They will also document technical details clearly and improve systems in accordance with business needs.
As a Senior Data Scientist for Walmart's Search team, you'll develop and implement machine learning solutions to enhance search functionality, analyze large datasets, and collaborate across teams for impactful business solutions. Your work will include defining performance metrics, presenting insights, and integrating solutions into current processes while adhering to industry best practices.
As a Data Scientist III at Intuit Credit Karma, you'll identify opportunities to enhance data utilization for financial services, optimize machine learning models, collaborate with marketing and engineering on model adoption, and explore advanced data science techniques in personal finance. The role focuses on leveraging large-scale models within a growing data science team to support financial products.
As a Data Scientist, you will bridge business problems with innovative solutions through methodologies, statistics, and software engineering. Responsibilities include data collection, model building, and ensuring data accuracy and usability, all while navigating complex business processes to drive meaningful change.
As a Senior Staff Data Scientist, you will design, develop, and deploy machine learning models while collaborating with cross-functional teams. Your role includes conducting data exploration and analysis, developing data pipelines, and communicating insights to stakeholders to enhance decision-making processes.
As a Senior Data Scientist at Sigmoid Analytics, you will tackle complex data science and machine learning challenges across various industries. Responsibilities include engaging clients, performing hypothesis testing, developing statistical models, and improving model accuracy through data extraction and preparation.
Join Convai as a Prompt Engineering Data Scientist to work on creating intelligent NPCs and applications for virtual worlds. Be part of a team committed to revolutionizing Conversational AI and enabling human-like interactions with AI characters in virtual environments for gaming and educational purposes.
As a Senior Data Scientist, you will mine insights, lead analytical projects, mentor junior scientists, and collaborate with teams to develop data-driven strategies. Responsibilities include designing statistical models, overseeing data quality, performing A/B testing, and communicating findings to stakeholders.
The Sr Data Scientist at Sabre will leverage statistical analysis, data modeling, and predictive techniques to solve strategic and operational problems in the airline industry. Responsibilities include collaborating with experts to derive insights from data, developing custom models, and ensuring data quality, while working closely with software engineers during product development cycles.
The Data Scientist III will lead the development of data science solutions for Walmart, collaborating with product managers and stakeholders to solve complex business problems. Responsibilities include applying machine learning algorithms and statistical models to large datasets, deploying scalable data science products, and actively participating in technical councils.
The Senior Data Scientist will lead the development and implementation of statistical modeling and machine learning approaches to enhance personalized customer experiences at Walmart. This role involves building relationships with stakeholders, applying advanced analytics methodologies, and collaborating with teams to design scalable business solutions.
The Senior Lead Data Scientist will manage projects, develop predictive models, and guide a team to deliver analytics solutions, utilizing extensive programming and machine learning expertise. The role involves client engagement to solve complex business challenges, ensuring timely deliverables, and maintaining strong stakeholder relationships.
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