... proper documentation and approvals. Collaborate with business teams on data governance and compliance initiatives. Identify and implement best practices for data ingestion, data design, and data quality improvement. Develop queries for profiling data, validating analyses, testing assumptions, and driving data quality assessment. ...
... bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. Data and Applied Science The context engine that makes AI enterprise ready. Anyone can build an AI agent. What makes SAP's agents different is accuracy grounded in ...
... field AND 4+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data ...
... feedback. Ensure continuous professional development of team members. Qualifications Educational qualifications & Experience: Bachelor's degree in computer science, Information Security, or related field. 10–12 years of experience in data loss prevention, data discovery/classification, and database/data security. Experience ...
... of Medallion Architecture and Delta Lake . - Advanced SQL and experience working with large-scale datasets. Good to Have - MLflow and experience supporting ML/data science workflows. - LangChain or similar AI/Agent frameworks. - Exposure to AI Agents / AI-ready data platforms . - Experience with SQL Server . - Experience ...
... and/or cloud technologies. - Visualization/reporting tools such as Tableau, Spotfire, Grafana, etc. - Working knowledge of ML and AI model development and the data science development life cycle is an added advantage. - Experience with large datasets and understanding of stream and batch processing , Datadog, Brokers like ...
Data Scientist Bangalore | 3+ Years Experience Role Overview Looking for a Data Scientist with strong expertise in Machine Learning, Python, SQL, and Optimization to build scalable, production-ready analytical solutions. Key Skills Machine Learning – Regression, Classification, Clustering, Forecasting, Recommendation Systems ...
... external business functions to ensure global master data is maintained at the highest quality level. Key Performance Measures Meeting Project Milestones Master Data Accuracy On time delivery of Data analysis to stakeholders Knowledge, Skills And Experience Data Analysis & Problem-Solving Ability to analyze large datasets, ...
... similar background. - 3+ years of experience in Data Analysis and interpretation (Marketing/ Business/ Product). - High proficiency in SQL. - Experience with data visualization of large data sets using BI systems (Qlik Sense, Sisense, Tableau, Looker, etc.). - Experience working with data warehouse/data lake tools like ...
... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested ...
Key Responsibilities : - Design, implement, and manage CI/CD pipelines for data and Hadoop applications.- Develop and maintain automated build, deployment, testing, and release processes.- Work extensively with OpenShift and containerized application environments.- Deploy, configure, monitor, and troubleshoot applications ...
... development for the organization and its portfolio of distinct brands. The Inspire Brands Hyderabad Support Center will focus on developing new capabilities in data science, data analytics, eCommerce, automation, cloud computing, and information security to accelerate the company's business strategy. Inspire Brands Hyderabad ...
Job Description: IF interested, please fill this form: - - 5+ years of experience combined in programming, small to large-scale applications, frontend and backend engineering, test-driven development, microservices and architecture design principles - Must have experience on AI/ML implementation such as: Langchain,
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Large Language Models (LLMs) ...
... technical and non-technical audiences. Requirements: - 8–10 years of experience in data science or related fields. - At least 4 years of hands-on experience as a Data Scientist in real-world production environments. - Minimum of 2 years' experience working with Azure Cloud, including Databricks, Azure Data Factory (ADF), and ...
... statistical analyses and machine learning models (supervised, unsupervised, NLP, etc.). Collaborate cross-functionally with engineering and business teams to drive data-first decision-making. Minimum 4 years of professional experience in data science, analytics, or a related field. Proficiency in Python and/or R with strong hands-on ...
... 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+ ...
A data engineer role in the Specialty Data team should be able to analyze data from multiple source system and design/model Data Marts based on business requirements. Therefore, strong data analytics and technical skills are a must. He or She should be able to create data models, STTMs and other technical documents. The ...
... 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, ...
... engineers, and business stakeholders. Design, develop, and deploy scalable ML models for forecasting, optimization and NLP use cases. Lead the end-to-end lifecycle of data science projects: problem framing, data exploration, model building, evaluation, and deployment. Explore and implement LLM and agentic AI applications to drive ...