... scapy, scrapy, BERT etc. - Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making. - Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA ...
As a key member of the QTC, you will play a pivotal role in migrating data from diverse sources and applications, developing solutions, validating systems, and addressing various challenges in enterprise applications.
... Detection, Reporting, and Machine Learning . This individual contributor role focuses on real-time streaming, large-scale data processing, cloud platforms, and analytics engineering . The ideal candidate has strong expertise in Apache Spark, Kafka, Snowflake, and AWS/Azure . Build and maintain scalable batch and real-time data ...
... using Airflow, MWAA, AWS Step Functions , or similar orchestration tools. Collaborate with Data Analysts and Data Scientists to deliver clean, structured, and analytics-ready datasets. Optimise data pipelines for performance, scalability, reliability, and AWS cost efficiency . Integrate data from multiple internal and external ...
... large-scale data transformation initiatives - Build modern cloud-native data solutions using Azure & Databricks - Opportunity to contribute to enterprise-wide analytics and data engineering programs Interested candidates can share their updated resume to View email address on https://jobeax.com/link/8om4ubga9gvjbUNE Contact: ...
Associate Director - AI & AnalyticsLocation: Noida (Hybrid, General Shift)Experience: Minimum 8+ YearsWe are seeking an Associate Director with a strong analytics background who is currently leading GenAI/AI projects. This role blends technical authority with people leadership - you will set engineering direction, raise ...
... patterns the team follows.- Build and evolve Databricks dashboards and semantic metrics for self-service across the business.- Partner with data engineering, analytics engineering, and analytics stakeholders to turn messy business problems into durable data products.- Drive AI-native workflows: Cursor/Claude (or equivalent) ...
... Docker, Cloud-Native Infrastructure, CI/CD pipelines. Industry Context: Data engineering experience in Banking Risk, Retail Products, Cards, Mortgage, Deposits, or Wealth Management. Assumed Requirements / Certifications: Databricks Certified Data Engineer, AWS Certified Data Analytics, or Azure Data Engineer Associate.
... departments. Training and Support: Provide training and support to end-users on MDM tools and practices. Data Science Methodologies: Machine Learning and Predictive Modelling: Apply machine learning algorithms and predictive modelling techniques to extract insights and forecast trends. Experience with regression, classification, ...
... elasticity, competitive dynamics, and business outcomes. - Develop scalable dashboards and reporting solutions to track pricing performance and enable self-serve analytics for commercial teams. Data Science & Decision Support - Utilize advanced data analysis, SQL, and Python to build predictive pricing models, opportunity sizing ...
... communication and stakeholder management https://jobeax.com/link/XeQgkERVo2V2JtoS Qualifications :- Workday Reporting Certification.- Experience with Workday Prism Analytics.- Exposure to Workday Adaptive Planning and Workforce Analytics.- Experience in Workday implementation, enhancement, or support projects.- Knowledge of data ...
... communication and stakeholder management https://jobeax.com/link/XeQgkERVo2V2JtoS Qualifications :- Workday Reporting Certification.- Experience with Workday Prism Analytics.- Exposure to Workday Adaptive Planning and Workforce Analytics.- Experience in Workday implementation, enhancement, or support projects.- Knowledge of data ...
... enforce quality assurance frameworks, documentation standards and analytical methodologies across the teamThe Superpowers You'll Be Bringing To The Team : - Analytics expertise : 7+ years' experience in a highly technical analytics environment with proven analytics and insights expertise at Lead Analyst level or equivalent- ...
... analytics team for Internal System Org. Enable and empower F&S, GTM, Accounting, Product teams to achieve business goals, through dataset development, data analytics support, dashboards, AI, and operation efficiency enhancements. What you’ll do Responsibilities - Perform data analysis, identify trends, conduct research, ...
... location, the hub is designed to be an innovation powerhouse. Make bold decisions for brands that matter. We are seeking a strategic and experienced Senior Analytics Manager to join our Global Analytics function within a leading fashion business. You will act as a trusted advisor to the business, using your deep understanding ...
... developing, constructing, testing, and maintaining architectures such as databases and large-scale processing systems, ensuring that architectures support data analytics, and preparing data for prescriptive and predictive modeling. Data engineers also develop data set processes for data modeling, mining, and production, integrate ...