Top Data Science Jobs in Hyderabad, TG
Join BLEND360 as a Senior/Lead Data Engineer, responsible for developing data pipelines, optimizing data processing, collaborating with stakeholders, and staying updated on data engineering technologies. Work with Python, Scala, Java, SQL, Hadoop, Spark, AWS, Azure, and GCP to deliver exceptional data solutions for Fortune 500 clients.
Seeking a Senior Staff Data Engineer to lead the development of data infrastructure, data processing, and quality checks. Responsibilities include setting strategic vision, providing technical leadership, collaborating with data scientists, and optimizing data infrastructure for performance and scalability.
Sun Life is seeking a Data Scientist to join their team and empower individuals, families, and communities worldwide. The Data Scientist will work on innovative technology, financial services, and asset management solutions to support clients in achieving lifetime financial security and living healthier lives.
Seeking a Senior Data Engineer to design, model, and implement data analysis solutions, support ETL pipeline modules, and work on large-scale data analytics platforms. Must have strong analytical skills, be a self-motivated learner, and have excellent communication skills. Experience with Java, JavaScript, Apache Spark, and data analysis is required.
Manage the implementation and adherence to the overall data lifecycle of enterprise data, employ statistical methods and machine learning algorithms to solve complex business problems, collaborate with internal stakeholders and cross-functional teams, and provide actionable insights through data analysis and visualization.
ModMed is hiring an Analytics Engineer to bridge the gap between business and technical teams by creating trusted, scalable, and efficient data models and products. This role involves collecting business requirements, designing data models, building data conversion to stories, and serving as a subject matter expert for the Enterprise Data Model.
Responsible for expanding and optimizing data architecture, building data pipelines, and providing actionable insights. Collaborate with cross-functional teams to support data initiatives and ensure data security and functionality. Requires 5+ years of experience in a Data Engineer role.
The Lead Data Scientist is responsible for providing technical leadership in Data Science & AI/ML initiatives along with data-related application development leveraging cloud-based solutions. This role requires an enterprise mindset to build out robust, high-performance solutions and the ability to clearly communicate technical details within and outside of the team.
The R&D Master Data Management Lead Data Steward plays a critical role in driving data standards and governance within the R&D Data Office at Sanofi. Responsibilities include defining and documenting data standards, influencing data governance policies, managing data quality, and ensuring data standard adoption across initiatives.
Join ModMed as a Senior Data Analytics Engineer to bridge the gap between business and technical teams, creating trusted data models and products. Collect business requirements, design data models, automate performance metrics, and provide cross-team support. Must have technical knowledge of data systems, experience with data modeling, proficiency in BI platforms, programming skills, and cloud platform experience. Benefits include a positive work environment at a fast-paced Healthcare IT company.
Build and operate data pipelines for Plume products and analytics at massive scale using cutting-edge technologies. Collaborate with stakeholders, maintain data quality, mentor team members, and drive technology roadmap.
Responsible for developing and maintaining data pipelines to ingest, transform, and analyze data. Collaborate with the business team to provide efficient solutions using an enterprise data platform. Design, build, and maintain code, ensure performance, identify and address issues, expand knowledge through research, and comply with quality policies.
Orion Innovation is seeking a Data Engineer with 7 to 10 years of experience in data engineering, focusing on Microsoft technologies. The role involves expertise in Azure data services, data modeling, and strong communication skills.
Seeking a Senior Data Scientist with 7-9 years of experience to develop cutting-edge ML solutions for pricing and recommendations. Must have expertise in Python, SQL, ML techniques, and industry-standard recommender systems and pricing models.
Lead Data Engineer responsible for designing, developing, and maintaining data infrastructure, providing technical leadership, collaborating with cross-functional teams, driving innovation, overseeing data pipelines deployment, contributing to data strategies, and fostering a culture of collaboration and excellence within the team.
Participates as a senior member of data development team, completes data analysis, and develops batch, real-time, and streaming data integration codes independently. Designs, prepares, and automates test cases, applies technical knowledge to maintain data engineering, and implements complex infrastructure and software solutions using company and open-source technologies.
Drivetrain is looking for a Data Engineer to build and monitor large-scale data pipelines, develop DBT setup, collaborate with the data platform team, and craft cutting-edge data solutions.
Seeking an enthusiastic Entry-Level Data Engineer with a focus on AI to assist in designing, building, and maintaining data infrastructure that supports artificial intelligence and machine learning initiatives. Responsibilities include data pipeline development, data integration, AI & ML support, data monitoring, and troubleshooting. Preferred skills include practical knowledge of programming languages, SQL, AI frameworks, big data technologies, cloud platforms, data modeling, and strong analytical skills.
As a Principal Data Management Programmer, you will be responsible for developing programs for data validation, managing data review processes, and implementing protocol deviation solutions. The role involves working on clinical trial projects and optimizing data reporting tools. The position requires expertise in SAS, R, Python, database structure, data visualization tools, and AI/ML models. Strong knowledge of regulatory guidelines in data management and drug development is essential.
As a Data Scientist at PayPal, you will collaborate with a team to ensure successful fraud detection and prevention for customers. Your role involves designing, implementing, and deploying fraud solutions using machine learning models and data analysis.
As a Data Engineer at Walmart, you will be responsible for developing and maintaining data pipelines to support data science initiatives. You will work with a mammoth scale of data to create valuable data assets for retail analytics. Collaboration with Data Scientists, Analysts, and business stakeholders to solve complex challenges is crucial for evolving the retail business model.
Seeking bright and resourceful individuals for the Data team at AlphaGrep, a quantitative trading and investment firm in Mumbai. Responsibilities include building infrastructure tools, optimizing data delivery, coordinating with global teams, and writing efficient code. Required skills include Python and SQL knowledge. Good to have experience with web crawling, Linux environment, and stock market data.
Seeking a Senior Analytics Engineer to lead the transformation layer of a data platform at a fast-growing fintech company. Responsibilities include developing scalable patterns, ensuring data discoverability, and collaborating with various teams. Must have 3+ years of experience in data engineering or analytics, expertise in SQL and Python, and strong relational database skills.
Lead the design, development, and implementation of data solutions to business problems. Evaluate performance of current data solutions, design and implement cloud and hybrid data solutions. Adapt and learn new technologies per business requirements.
The Data Engineer Associate at Genworth works closely with Project Stakeholders and Technical team to develop and maintain Pre/Post processing programs and ML models. Responsibilities include building machine learning pipelines, developing python programs, utilizing GCP tools, working with cross-functional teams, and developing Enterprise API and Microservices using Python, JavaScript, Docker, Kubernetes.
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