... Work with large datasets using PySpark and SQL Collaborate with engineering and product teams to design scalable solutions Generate actionable insights through data analysis and modeling Deploy, monitor, and improve model performance Qualifications - Bachelor's/Master's in Computer Science, Data Science, Engineering, or related ...
ADA is a leading data and artificial intelligence (AI) company that designs and executes integrated digital, analytics, and marketing solutions. We operate in 12 markets in Asia and partner with leading brands to drive their data and digital maturity. We are looking for a detail-oriented and proactive Senior Data Analyst ...
... Java/Spring Boot services that acquire, normalize, and deliver telemetry and retention data from complex enterprise and third-party systems. It requires protocol and data-format troubleshooting across REST, Microsoft Graph, GraphQL, gRPC, JSON, XML, encoded/compressed payloads, and binary data, together with resilience patterns, ...
... 15-minute schedules), including idempotency, backfills, and late-arriving data patterns - Experience with orchestration and transformation tooling (e.g., Strong data quality discipline: automated tests/expectations, monitoring/alerting, and clear SLAs for critical datasets - Comfortable working hybrid in Bengaluru (Whitefield) ...
... our team, choose your own path and work on projects that excite you. The Data and Analytics team drives competitive advantage by providing the best-in-class data, analytics, and insights for the Kmart Group. By using the latest cloud platforms tools, data engineering practices, and data science methods, the team is paving ...
... analysis to solve business problems and making data-driven business decisions - Experience effectively communicating complex concepts through written and verbal communication Knowledge of machine learning concepts and their application to reasoning and problem-solving - Experience in a ML or data scientist role with a large ...
Enterprise Data & AI Solution ArchitectJob SummaryAs an Enterprise Data & AI Solution Architect within Darktrace's TechOps Centre, you will lead the design and evolution of enterprise data, analytics and AI solutions across Darktrace's Microsoft technology https://jobeax.com/link/8eCu4g68SO5sOI6t with business, data, technology, ...
... looks anomalous on compute spend but has real payment history, decide whether it's an enforcement problem or a pricing problem, and defend the call with the data. Who You Are: - 2 to 5 years in data science or applied ML with a focus on product analytics, growth, or user behaviour - Strong SQL and real comfort working ...
... Lead Clinical Data Science Programmer at ICON, you will design and develop clinical data solutions, ensuring the efficient handling, analysis, and reporting of complex clinical trial data. What You Will Do: You will manage day-to-day clinical data science activities, supporting your team to deliver quality outcomes. Key ...
... RDBMS ecosystem. Your work will directly influence product roadmaps and operational efficiency, playing a pivotal role in scaling our business outcomes through data-backed https://jobeax.com/link/1GRkeqsx7iRFVaFD Responsibilities : - Architect and maintain complex SQL queries to extract, clean, and transform large datasets, ...
... improve forecasting accuracy.- Deploy models into production and continuously monitor their performance.- Collaborate with product and business teams to convert complex data insights into practical business strategies.MUST-HAVE SKILLS :- Data Science, Data Forecasting / Time-Series Forecasting- Python or R, SQL- ARIMA, Exponential ...
... performance and accuracy. Communicate findings and recommendations to stakeholders effectively. Stay updated on industry trends and emerging technologies in data science. Required qualifications : - Bachelor's or Master's degree in Data Science, Computer Science, or a related field. - 3-5 years of experience in data science ...
... pipelines Automate workflows for data ingestion, preprocessing, training, validation, and deployment Establish monitoring and alerting systems for model performance, data drift, and infrastructure health Ensure reproducibility, traceability, and compliance with regulatory standards Work closely with data scientists, data engineers, ...
... Experience performing financial data reconciliation and validation.- Understanding of data governance, auditability, security, and regulatory controls for financial data.- Experience monitoring production jobs and supporting time-sensitive data https://jobeax.com/link/q6mT8MCfo9RISiNs Responsibilities:- Design, develop, test, ...
... unlock new insights from our data. Communicate your findings and recommendations effectively to both technical and non-technical audiences. Proven experience as a Data Analyst or in a similar role, with a focus on product analytics. - 3-5 years of experience. - Expert-level proficiency in SQL. - Strong experience with data visualization ...
... translate stakeholder needs into clear, testable requirements and communicate effectively with technical teams. Strong SQL skills and experience working with large datasets. Familiarity with modern data environments and tooling (e.g., Databricks, ETL/ELT concepts, Azure, ADF, Python). Experience with governed data environments ...
... nearby. As a travel guidance company available in 43 markets and 22 languages, This client makes planning easy no matter the trip type. Utilize SQL and other data analysis tools to extract insights from large datasets and provide actionable recommendations to improve marketing campaign performance. Monitor and analyze the ...
... Develop and optimize Power BI reports, data models, measures, and DAX expressions. Perform storyboarding to structure analytical insights and present clear, compelling narratives to stakeholders. Collaborate closely with Data Engineering teams by providing clear and detailed requirements. Ensure data accuracy, consistency, ...
... producing reliable, decision-grade data outputs that underpin business performance reporting across multiple jurisdictions. The role involves working with large, complex datasets extracted from systems such as Salesforce and internal platforms, validating data integrity, analysing trends, and communicating clear insights to ...
... and business impact to both technical and non-technical stakeholders. Education & Experience - 1+ years of hands-on experience in classical machine learning, data science, predictive modeling, or statistical modeling. - D. in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, Engineering, or a related ...