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Top Data Science Jobs in Hyderabad
As Vice President of Global Data Strategy and Governance, you will develop and implement a data strategy and governance framework for the Risk Management division within Asset Wealth Management. Your role includes collaborating with stakeholders, leading teams, ensuring compliance, and driving data management initiatives to transform credit risk operations into a data-driven organization.
The Staff Data Scientist will develop credit risk and fraud models for the Motive Card by collaborating with Risk, Product, and Engineering teams. Responsibilities include deriving insights from data, applying statistical techniques, evaluating new data sources, and ensuring effective model deployment.
As a Staff Data Scientist in Employee Workflows at ServiceNow, you will enhance data algorithms, lead NLP and Generative AI projects, mentor junior team members, and collaborate across teams to drive workplace intelligence solutions.
The Associate Data Scientist role at MetLife involves working with data to deliver insights and support business decisions. The position likely includes data analysis, model development, and collaboration with cross-functional teams.
The Staff Data Science Engineer will work with automated industrial manufacturing to analyze and apply machine learning to large datasets. Responsibilities include data extraction, cleansing, statistical modeling, and advanced analytical methods while developing software solutions. Strong communication skills are necessary.
The Data Science Engineer at Micron Technology is responsible for extracting data from various databases, applying data cleansing techniques, and utilizing data visualization tools to communicate findings. This role requires web development experience, strong software development skills, and knowledge in Big Data Engineering and Machine Learning.
The Senior Expert Data Science role involves solving complex business problems using statistical methods and machine learning. Responsibilities include developing automation for data analysis, managing data lifecycle, communicating insights to stakeholders, and mentoring team members to build capabilities in a diverse environment.
The Lead/Manager of Data Science will oversee multiple projects, manage a team of analysts, and contribute to business development initiatives. Responsibilities include designing data science solutions, conducting model evaluations, and presenting analysis findings to clients. The role requires strong experience in predictive modelling and machine learning, along with the ability to communicate effectively and work in a dynamic environment.
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The Senior Data Science Engineer will collaborate with strategy leads to develop smart manufacturing applications, providing technical consulting and troubleshooting solutions. Expertise in data science, machine learning, and big data engineering is required to enhance Micron’s operations through advanced analytics and statistical methods.
As an Engineering Manager for Cyara, you will lead a team focusing on AI and data science projects, mentoring members, overseeing project execution, and collaborating with cross-functional teams. You will ensure the delivery of innovative machine learning solutions designed to enhance customer experience and maintain high-quality standards.
As a Sr. Data Science Consultant, you will participate in client onboarding and support using BY’s Luminate Planning suite. You will select features, build machine learning classifiers, conduct data mining, enhance data collection, and perform analysis while mentoring junior associates.
The Expert Data Scientist supports building analytical solutions for Novartis internal customers. Responsibilities include data wrangling, advanced data analysis, statistical modeling, creating visualizations, and collaborating with senior data scientists to solve analytics problems and improve decision systems.
The Data Science Engineer role involves analyzing large datasets in industrial manufacturing environments, applying machine learning techniques, and building APIs for integration. Responsibilities include data cleansing, statistical modeling, and developing solutions in a fast-paced, collaborative environment.
The Senior Manager - Data Science at Roche will lead a team to manage machine learning and AI projects, collaborating with stakeholders to understand business needs and develop solutions. Responsibilities include building scalable models, mentoring team members, and staying informed on technological advancements to enhance service delivery.
The Manager of Data Science will lead the execution of digital innovation solutions, managing multiple projects across various marketing channels. They will collaborate with brand and technical teams to optimize resource allocation and provide analytics support to internal customers, ensuring high-quality deliverables while adhering to project timelines and quality metrics.
The Manager Data Science leads multi-channel marketing analytics projects, providing data-driven insights and strategies to internal customers. The role involves project delivery, customer satisfaction, and collaboration across teams to optimize decision-making through advanced analytics and statistical methods. Responsibilities include automation, quality control, and participating in recruitment and training.
As a Senior Manager in the TPG Data Science Products Group at Micron, you will lead a team of data scientists to accelerate product development using machine learning and data science techniques. Your role includes managing teams, coordinating projects, and developing data science solutions.
As a Data Scientist at PayPal, you will leverage machine learning and data analysis to create and deploy solutions for detecting fraud. You will work with clients to design these solutions, ensuring their effectiveness in combating fraud, and require collaboration with both technical and business teams.
As a Senior Data Scientist, you will develop machine learning models for risk and fraud management, automate monitoring tools, and create data pipelines. You'll lead projects that drive business value, engage with compliance and risk management teams, and leverage alternative data to optimize marketing strategies.
As a Data Science Engineer at Micron Technology, you will collaborate with a team to develop data science solutions aimed at improving operational performance and enhancing manufacturing capabilities. You will work on data acquisition and visualization, build ETL pipelines, and create user-friendly interfaces to demonstrate insights from data.
The Data Scientist will analyze user journeys, generate insights, define key product data sets, perform statistical modeling, and deploy predictive models. They will collaborate with various teams and develop tools to monitor model performance, aiming to leverage data for organizational growth and decision-making.
The Senior Data Scientist will develop data science and machine learning solutions, apply advanced algorithms to large datasets, and support business stakeholders in understanding the value of these solutions. Responsibilities include collaborating with team members, following best practices in machine learning, and contributing to innovation in the field.
The Data Scientist will analyze user journeys to provide insights and recommendations, identify growth opportunities with data, perform statistical modeling and feature engineering, coordinate AI/ML model deployment, and produce reports for stakeholders.
The Lead Data Scientist will lead projects utilizing NLP techniques for name and address matching, develop advanced models, collaborate with teams, conduct research, mentor junior staff, and ensure adherence to data privacy standards.
The Data Scientist at Clarion Partners will lead quantitative research efforts to support investment decisions in commercial real estate. Responsibilities include designing ML/AI solutions, developing automated data processes, and communicating insights to investment teams. They will utilize statistical methods and data engineering skills to enhance research capabilities.
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