... modeling to develop and evaluate AI solutions using real-world enterprise datasets. What you'll bring - 6 + years of experience in knowledge engineering, semantic data systems, applied AI, or data science in industry, research labs, or advanced academic environments. - Master's or PhD in Computer Science, Applied Mathematics, ...
... As a Senior Data Scientist, you will develop production-grade Bayesian models, design optimization frameworks, evaluate marketing effectiveness, and translate complex statistical methodologies into actionable business recommendations. You will work closely with data scientists, engineers, and business stakeholders to build ...
... technologies, alongside your own technical expertise and approaches. Key Responsibilities - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage available tools and custom workflows to accelerate data collection, validation, ...
... pipelines and MLOps practices Experience with event-driven architectures and microservices Familiarity with data mesh and data fabric concepts Experience with graph databases (Neo4j, Amazon Neptune) Industry Experience Experience in digital agency or consulting environment Background in financial services, e-commerce, retail, ...
... technologies, alongside your own technical expertise and approaches. Key Responsibilities - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage available tools and custom workflows to accelerate data collection, validation, ...
... technologies, alongside your own technical expertise and approaches. Key Responsibilities - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage available tools and custom workflows to accelerate data collection, validation, ...
... analysis a part of the output) to the client as a part of decision-making. Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data ...
MakeMyTrip data science group is looking for experienced Data Scientists and ML Engineers who would focus on building the next level of AI/ML personalization, ranking, recommendation systems, pricing systems, reinforcement learning/bandit experimentation platform with click stream, customer, entities, and text data. Responsibilities ...
... technologies, alongside your own technical expertise and approaches. Key Responsibilities - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage available tools and custom workflows to accelerate data collection, validation, ...
... responsibilities include: - Developing and validating statistical programming code to support data analysis and reporting for clinical trials. - Collaborating with data scientists and statisticians to understand data requirements and analytical needs. - Ensuring compliance with industry standards and regulatory guidelines in ...
... Splunk for advanced log analysis and operational insights, optimizing the organization’s monitoring and security posture. - Use Sinequa to harness unstructured data through cognitive search and analytics, driving insights from large-scale, complex datasets. - Automation : - Develop platform solutions to proactively automate ...
... the management of end-to-end data infrastructure—from design and construction to installation and ongoing maintenance of large-scale processing systems. Drive data quality initiatives, ensure seamless data accessibility for analysts and data scientists, and maintain strict compliance with data governance and regulatory requirements. ...
... technologies, alongside your own technical expertise and approaches. Key Responsibilities - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage available tools and custom workflows to accelerate data collection, validation, ...
... streaming datasets which powers personalized experiences for every customer from recommendations to in-location engagement. Design, construct, and maintain robust data systems and architectures Develop and optimize data capture, storage, processing, serving, and querying platforms Create data products for personalization, recommendation, ...
... insights to drive business decisions. Responsibilities: Gather data from various sources, ensuring its accuracy, completeness, and relevance for analysis. Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work ...
... technologies, alongside your own technical expertise and approaches. Key Responsibilities - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage available tools and custom workflows to accelerate data collection, validation, ...
... technologies, alongside your own technical expertise and approaches. Key Responsibilities - Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets. - Leverage available tools and custom workflows to accelerate data collection, validation, ...
... Validating AI-extracted data against source values Performing quality checks and reporting defects You will need the following experience and skills to join us as a Data Analyst: You will have a bachelor's degree in Commerce, Mathematics, or Statistics You must have strong English communication skills 24 days holiday - Paid Study ...
... Implement and maintain data models, dimensional modeling for data warehousing, data marts, and star/snowflake schemas to support reporting and analytics. Integrate data from various sources including APIs, flat files, relational databases, and cloud services. Ensure data quality, data governance, and compliance standard are met. ...
... US product and analytics team. Build statistical and ML models to create, expand, and score audience segments from survey, panel, purchase, and media-exposure data Lead data fusion work, combining deterministic and probabilistic sources into one representative consumer view while correcting for bias Partner with ML Engineering ...