... continuous improvement of operational processes. Skills and Experience: 3-4 years of progressive experience in data engineering, with expert-level mastery of Azure Data Factory, SQL, and cloud data platforms (Azure and/or GCP). - Proven expertise in designing, optimizing, and managing large-scale, production-grade data pipelines, ...
... 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. ...
... Snowflake / Databricks HIPAA / Data Governance LLM Observability & Monitoring 4+ years of experience working in or with pharmaceutical commercial operations, life sciences data, or healthcare analytics. - Familiarity with pharma commercial data types: prescription data (TRx/NRx), specialty pharmacy data, HCP/HCO master data, ...
... 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 ...
... 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 ...
... 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+ ...
... 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 ...
... 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, ...
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, ...
... 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 ...
... 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 ...
... optimization, with hands-on experience in Python, SQL, Bayesian modelling, and cloud-based machine learning environments such as AWS SageMaker. Lead and mentor a team of data scientists and provide technical direction across multiple data science projects. Own the end-to-end delivery of data science solutions, from problem definition ...
... 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 ...
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) ...
... development of end-to-end data workflows. This includes incorporating survey logic, real-time checks, and secure data transmission to ensure clean, analysis-ready datasets. Ensuring collection of high-quality primary data-recruiting, training, and managing field teams to collect data that meets rigorous research standards. Safeguarding ...
... Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field. A minimum of four years of professional experience in data engineering or similar roles is required. Certifications such as Microsoft Certified: Fabric Data Engineer Associate, Azure Data Engineer Associate, or Databricks ...
... Engineering, Data Science or a related field. 10+ years of hands-on experience in data engineering, with at least 5 years in a people management role leading data platform or data infrastructure teams. Deep expertise in data warehousing, data modeling (dimensional and Data Vault), ETL/ELT design and big data technologies. ...