Top Data Science Jobs in Hyderabad, TG
The Data Scientist III will play a crucial role in supporting operational analytics across Global Product & Supply (GPS) to ensure products continue to serve most pressing GPS analytics needs, with potential opportunities to build new advanced analytics capabilities such as predictive modeling, simulation, and optimization.
Senior Data Scientist role at S&P Global Market Intelligence focusing on agile product development with cutting-edge technology in the financial services industry. Responsibilities include data analysis, model building, software project implementation, and collaboration with cross-functional teams. Requires 4 to 8 years of experience, graduate degree in a relevant field, and expertise in Python, data analysis, and LLM landscape. Opportunity to work with global teams and contribute to innovative solutions.
Responsible for developing algorithms, data modeling, and creating new data processing techniques. Apply data mining techniques, do statistical analysis, and build high-quality prediction systems.
Seeking an experienced and energetic Principal Data Scientist to join our Data Science Team. Responsible for tackling difficult problems and distilling large volumes of data into actionable knowledge. Collaborate with cross-functional teams to improve decision-making with data and build a culture of data-driven decision-making. Design and build ML algorithms for text and image processing, conduct exploratory analysis, and produce work that aids the executive team's decision-making process.
Seeking an experienced Data Scientist to optimize advertising strategies and maximize revenue generation through data-driven insights. Responsibilities include data analysis, predictive modeling, and collaborating with cross-functional teams to enhance advertising platforms.
Seeking a Senior Data Scientist capable of using machine learning and statistical techniques to build state-of-the-art data products using Big Data sets from technology development and manufacturing teams. Responsibilities include uncovering patterns in data, developing predictive models, and interacting with cross-functional teams.
The Data Scientist at Franklin Templeton's Digital Technology group is responsible for leveraging data analytics to tackle business challenges, drive insights, and develop data-driven solutions. The role involves working on machine learning models, applying advanced analytics techniques, and contributing to the data pipeline from collection to analysis.
Seeking a Data Scientist to turn raw data into valuable insights, perform data mining, machine learning, and statistical analysis, collaborate with product and engineering teams, and stay updated with the latest technology trends in data science.
Building a High-Performing Data Platform, Data Tools Development, Production Data Pipelines, Understanding of Data Enterprise Applications, Data Quality Integration, Database Experience
Data Engineering Lead responsible for developing cloud-first data engineering solutions to support data product and AI teams. Mentoring junior team members, understanding business needs, and delivering innovative data engineering solutions. Collaborative environment building data pipelines for Data/Analytic products. Passion for data engineering, modeling, cloud technologies, and technical leadership.
Senior Data Scientist responsible for driving data strategy, leading projects in Machine Learning and Generative AI, conducting statistical analysis, developing and optimizing ML models, and collaborating with cross-functional teams. Mentoring junior data scientists and providing technical guidance.
Implement the entire machine learning lifecycle, investigate customer datasets, and provide data science expertise as a trusted advisor. Work on real-world problems across industries and collaborate with clients to improve data-driven decision-making.
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Develop and maintain scalable data pipelines, collaborate with teams to improve data models, lead data team, perform data analysis, define data assets, design data-oriented solutions, implement governance policies, monitor data quality, and ensure optimal resource use.
Dynamic Lead Data Scientist role at Sanofi, leading data science initiatives, developing and deploying AI solutions, coordinating with cross-functional teams, and driving innovation in advanced analytics projects. Responsibilities include team leadership, strategic planning, model development, data analysis, data governance, collaboration, and innovation.
Looking for an experienced Data Scientist specializing in forecasting to develop accurate forecasting models and deliver actionable insights. Responsibilities include developing forecasting models, analyzing historical data, collaborating with cross-functional teams, and staying current with forecasting methodologies.
Lead Data Scientist responsible for defining data science strategy, overseeing project execution, managing a team, data collection and processing, exploratory data analysis, model development and deployment, collaboration with cross-functional teams, and staying updated on data science advancements.
Seeking a motivated and experienced Data Engineer to develop data pipelines, manage a data lake, support business intelligence developers, and collaborate with various teams to implement powerful solutions leveraging cloud, big data, NLP and ML.
Lead Data Engineer responsible for designing, developing, and maintaining data infrastructure, leading a team of data engineers, and contributing to overall data strategy. Requires expertise in Microsoft data technologies, strong data modelling skills, and experience in Agile environments.
Responsible for leading data engineering efforts to modernize and optimize data solutions, working on data pipelines and warehousing solutions in a cloud environment. Collaborate with cross-functional teams to drive digital transformation through AI and machine learning technologies at Sanofi.
Seeking an experienced Data Scientist - ML Engineer to develop commodity-related models, automate workflows, and collaborate with teams to deliver analytical solutions. Responsibilities include creating models, managing analytical solutions, collaborating with teams, and leveraging technology for data enrichment.
Design and implement data solutions using various technical stacks and programming languages. Provide thought leadership and recommend technologies and solutions. Develop custom data pipelines and optimize SQL queries. Must have at least 4 years of experience as a Software Engineer, Data Engineer, or Data Analyst.
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As an Analytics Engineer at Kong, responsible for data engineering and product analytics tasks, optimizing the data ecosystem, collaborating with cross-functional teams, and deriving actionable insights. Key responsibilities include data engineering, product analytics, data quality and governance, collaboration, and utilizing the Kong data ecosystem.
Seeking a Senior Data Engineer to design and implement data solutions, develop data pipelines, optimize data models, and collaborate with teams for seamless integration and visualization. Mentor junior team members and stay updated with industry best practices.
The Senior Data Scientist at Clarion Partners will lead the design and build of a quantitative research system for commercial real estate portfolios, implement ML/AI solutions, train time series forecasting models, and communicate insights to investment teams. The ideal candidate will have an MS/Ph.D. in a quantitative discipline with at least 6 years of experience in quantitative research and portfolio optimization.
Design, build, and shape data pipelines and infrastructure to support a modern data lake for a clinical trial enrollment platform. Work directly with sponsors and external parties on data products. Support internal and external data products by building, scaling, and integrating data processes. Ensure compliance with regulatory frameworks and drive best practices for high-performance systems.
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