... self-service data exploration capabilities for users to analyze and visualize data independently. Develop reporting and analysis applications to generate insights from data for business stakeholders. Design and implement data models to organize and structure data for analytical purposes. Implement data security and federation strategies ...
... Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to store, manage, and analyze data. Use statistical techniques and software to analyze datasets, ...
... reliable, well-documented data products that drive operational and strategic decision-making. The ideal candidate is comfortable operating independently across the data stack, takes ownership of their work, and communicates proactively with team members across time zones. Core Responsibilities ETL / Data Pipeline Development ...
... with LangChain , RAG , and agent workflows Translate business goals into production-ready AI applications Work with prompt engineering , embeddings, and vector databases Collaborate with engineering, product, and data teams on performance optimization Deploy AI solutions on AWS, Azure, or GCP and ensure cloud efficiency Requirements: ...
... and internal partners to develop, test and operationalize data science and analytical solutions as well as ensure its adoption by businesses. Work toleveragedata (Transactional / Big Data, External/ Internal Data, Structured/ Unstructured Data) and analytics methodsto develop analytics solutions 6 - 8 years of experience, ...
... scalable data systems that support next-generation products and analytics initiative. As a Senior Database Engineer, you will directly contribute to the company's data platform, database infrastructure, and analytics capabilities. By designing and maintaining scalable data pipelines and database solutions, you enable the organization ...
... demonstrate hybrid Data Scientist capabilities alongside the ability to design, develop and deliver applications that provide business insights. GCIO & GCOO Data is a global team within CTO Data that delivers data governance, data management, MI / reporting and analytics for key Businesses and Group Organizational infrastructure ...
... intelligence. We empower the world's leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it. The entry of required data, as specified in the applicable detailed entry and category guidelines provided. General data entry guidelines that define how different fields are to be recorded ...
... and analysis, as directed. Run and modify SQL queries to generate list reports from data sources. Generate data, identify problems within datasets, and resolve data discrepancies. Create dashboards and interactive custom visualizations using business intelligence tools. Assist in the development of processes and data pipelines ...
... and build scalable data processing systems. The ideal candidate should have hands-on experience working with large datasets, distributed computing, and modern data architectures. Key Responsibilities Design, develop, and maintain big data pipelines using Hadoop and Spark Build scalable data processing frameworks using Scala ...
... LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, ...
... degree in data science, Mathematics, Statistics, Computer Science, or related field AND 5+ years related experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR master's degree in data science, Mathematics, Statistics, Computer Science, or related field AND 4+ ...
Principal Data Scientist with GenAI - 8+ years - BangaloreSummary :We are looking for an experienced Principal Data Scientist / GenAI professional who can independently develop, implement, and deploy Machine Learning and Generative AI use cases across functions. The role involves working closely with internal teams and ...
... business needs and data volumes. Champion modern data architecture patterns including data products, data contracts, observability, self-service capabilities, metadata-driven architectures, and AI-assisted engineering practices. Data Products & Business Impact Lead the design and delivery of data products that generate measurable ...
... requirements. Data Consultant : As a Data Consultant for the Data and Analytics team, you will work within a Professional Services team to support our customer's data platform on GW Cloud. You will also support the development of new tooling and methodology to streamline our data processes. Given the dynamic nature of the work ...
... consumer behavior and the influencers that drive it. As a Data Classification Associate, you will perform various duties related to data entry. Enter required data in accordance with detailed data entry guidelines and project- specific requirements. This key function requires learning and adhering to: General data entry ...
... that transforms how people move through the digital world, putting Identity at the heart of business security and growth. Role Overview: Senior Product Manager, Data Platform As the Architect of Okta’s data-driven future, the Senior Product Manager for Data Platform orchestrates the evolution of our core data infrastructure, ...
... infrastructure and scalable deployments 2+ years of experience in Data Science / Machine Learning / NLP - Proven experience in model training and fine-tuning using custom datasets - Hands-on experience with Hugging Face, PyTorch, or TensorFlow - Vector Databases: Pinecone, Milvus – for embeddings and semantic search in translation or ...
... - Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc - Understand business problems and translate them into AI/ML solutions. - Perform data collection, preprocessing, feature engineering, and exploratory data analysis. - Develop supervised and unsupervised machine learning models. - Design and optimize ...
... machine learning models to solve complex telecommunications challenges, directly impacting system performance and customer satisfaction.- Engineer end-to-end data pipelines using Hadoop to process large-scale datasets, ensuring high availability and data integrity for downstream analytics.- Implement advanced deep learning ...