Top Data Science Jobs in India
As a Lead Data Scientist, you will develop and implement data-driven solutions using digital twin technology to enhance asset performance. Responsibilities include analyzing requirements, designing solutions, integrating data, developing models, overseeing deployment, and collaborating with customers for continuous improvement.
As a Lead Data Scientist, you will spearhead the development and implementation of data-driven solutions using digital twin technology to optimize asset performance. Responsibilities include requirements analysis, solution design, data integration, model development, and collaborating with customer project teams.
As a Senior Staff Engineer in Data Science, you will lead technical initiatives, tackle complex client challenges, and ensure delivery of advanced data science solutions leveraging machine learning, data analysis, and statistics. You will also mentor teammates and contribute to model packaging and deployment efforts across various cloud platforms.
The Senior Manager of Data Science will lead teams to create innovative data-driven solutions utilizing machine learning and statistical analysis. Responsibilities include advising clients, directing analysis to enhance marketing effectiveness, designing analytical models, and mentoring teams on data science practices. The role emphasizes improvement in customer segmentation and marketing tactics through data insights.
The Senior Manager Data Science will lead teams in developing data-driven solutions using machine learning and statistical analysis. Responsibilities include mentoring teams, driving innovation in applied analytics, and optimizing marketing tactics through data usage. The role emphasizes serving as an advisor and advancing data science capabilities across various business offerings.
The Senior Manager of Data Science at Publicis Sapient will lead teams in creating data-driven solutions using machine learning and statistical analysis. Responsibilities include developing analytical models, driving innovation in digital marketing, mentoring teams, and enhancing the company's data-centric capabilities across various industries and applications.
The Senior Manager of Data Science leads teams in creating data-driven solutions using machine learning and statistical analysis, educates others on conceptual models, directs analyses for marketing effectiveness, and partners with leaders across divisions to enhance data-driven services.
As a Senior Manager of Data Science, you will lead teams creating data-driven solutions and educate on machine learning problem-solving. This role involves directing analysis to enhance marketing effectiveness and collaborating with various divisions to support strong data science solutions across multiple applications.
Featured Jobs
The Senior Associate in Data Science will lead the Reporting and Analytics team, translating business requirements into solutions using Salesforce Tableau CRM. Responsibilities include developing data flows, insights, dashboards, and governance while fostering team collaboration. The role demands strong project management and analytical skills, along with proficiency in various data tools.
The Senior Consultant in Digital Transformation will deliver consultative business and technical services for complex customer engagements, focusing on deploying and managing digital transformation software stacks, architecture improvements, and automation processes while ensuring security and quality assurance across systems.
As the Head of Technology at Hunch, you will oversee technology strategy and architecture, manage a cross-functional team of 35 engineers, drive product development and feature delivery, optimize system performance, and ensure security and compliance.
The Data Science Contractor role focuses on building and deploying machine learning systems that drive business decisions and enhance customer experiences. The contractor will collaborate with engineers and analysts, perform data analysis, evaluate ML models, and improve ML systems through upgrades and experimentation.
This role involves driving talent recruitment, engaging in strategy meetings, mentoring employees, and collaborating with business stakeholders to influence product strategy. The Engineering Manager will focus on team development and performance improvement while fostering growth opportunities within the organization.
Join as a Senior Advisor, Machine Learning Engineer specializing in LLMOps at Dell Technologies in India. Architect, build, and deploy sophisticated General/Generative AI solutions with a focus on operational efficiency and scalability. Work on innovative projects leveraging massive datasets and state-of-the-art language models to drive decision-making and operational efficiencies globally.
The Project Manager, Data Automation will lead strategic initiatives within the Data Transformation & Data Science team, focusing on machine learning and automation projects. Responsibilities include project planning, stakeholder engagement, vendor meetings, and evaluating data solutions to ensure seamless delivery and service quality.
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 Senior Data Science Manager at Visa will lead AI and ML driven data science projects, collaborating with clients to solve strategic problems, design analytical solutions, and guide project execution, ultimately enhancing business performance in the payment industry.
The Data Science Lead Analyst is responsible for conducting strategic data analysis, driving business optimization, consulting with clients, and implementing system changes. This role requires strong communication skills and the ability to lead complex projects while ensuring data quality and effectiveness.
Lead the configuration, maintenance, and support of AI models, manage their deployment, and analyze complex data requirements to design solutions. Collaborate with cross-functional teams to ensure data quality and security in pipelines, present solutions to executives, and incorporate best practices in data lifecycle management.
The Data Scientist will apply data science principles and methods to solve varied problems by analyzing diverse data sources. The role includes exploring, refining, and deploying data science solutions, along with demonstrating project management skills and collaborating under limited supervision.
The Manager of Data Science will explore and implement digital innovation solutions addressing customer needs while leading projects across various marketing channels. This role involves planning and managing project timelines, ensuring quality deliverables, and collaborating with brand and technical teams for successful execution. The manager will contribute to strategic decision-making using proven analytics and provide guidance on commercial processes.
As a Senior Data Scientist - ML Engineer, you will design large-scale AI/ML systems, develop scalable data pipelines, improve data performance and quality, and run optimization experiments. You will also collaborate with stakeholders, leverage generative AI advancements, and publish work in AI/ML conferences while adhering to Walmart’s policies and standards.
The Senior Data Scientist uses advanced data science methods to solve complex problems, develop innovative solutions, and enhance existing models. The role requires collaboration and leadership in executing data science projects that influence business outcomes.
The Data Science Consultant I is responsible for executing projects related to the Blue Yonder Luminate platform, mentoring peers, conducting model analyses, and ensuring quality data usage. This role requires customer interaction for delivering insights and leading workshops, alongside guiding improvements in Luminate setups. It involves a focus on execution and process improvement with a small percentage of customer operations.
Lead a team of data scientists in developing advanced data science and generative AI solutions. Oversee data strategy, algorithm development, and model creation while analyzing healthcare data to generate insights and drive innovative strategies, working closely with stakeholders.
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