Skills Required ~ Data Science Duties & Responsibilities Advanced statistics, predictive analytics. Advanced object-oriented programming Hadoop, MySQL, TensorFlow, Spark Machine learning, data modeling Good aptitude and communication Education & Training ~ IT Education
The EDO Sustainable1 DATA OPERATIONS team at S&P Global is a project-focused, international group dedicated to excellence in sustainability data management. We are responsible for one of the world's most complete datasets on corporate sustainability, supporting global investors, corporates, and stakeholders with in-depth ...
... Consent Vendor Risk Execute end to end DSR DSAR workflows and privacy operations Perform data discovery classification and scanning using BigID Build and maintain data inventory catalog and lineage Identify sensitive data and risks PII overexposure dark data Support RoPA DPIA and regulatory compliance initiatives Configure workflows ...
... strong Data Analyst background with the ability to work with Excel, SQL, web-scraped data, and databases , while also being comfortable supporting basic cloud database, software, and data-related troubleshooting activities . Since the application relies heavily on accurate data, the candidate should be able to identify data-related ...
... embrace Statistical and ML technology Shield key processes and know-how on Statistical and ML Guarantee highest ML utilization Education: Mathematics/Physics/Engineering with a master's in business/data analytics or proven track record on Data Science Proven track record of minimum 5 years as a data scientist Coding capabilities ...
... degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD preferred. Relevant work experience in data engineering based on the following number of years: Fluency in English Planning & Organizing Skills Data Modeling and Database Design ETL (Extract, Transform, ...
... Data Analysis and Engineering - Develop and optimise data models to support analytical requirements. - Conduct ETL processes to extract, transform, and load data efficiently into Google BigQuery. - Utilise Pandas for data manipulation, ensuring cleanliness and reliability of datasets. - Create efficient queries to retrieve ...
... intelligence. We empower the world's leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it. The entry of required data, as specified in the applicable detailed entry and category guidelines provided. General data entry guidelines that define how different fields are to be recorded ...
... requirements. Data Consultant : As a Data Consultant for the Data and Analytics team, you will work within a Professional Services team to support our customer's data platform on GW Cloud. You will also support the development of new tooling and methodology to streamline our data processes. Given the dynamic nature of the work ...
We are looking for a Big Data Architect with experience designing scalable data solutions using Agile/SAFe practices, data mesh architecture, real-time streaming, cloud platforms, and modern data engineering technologies. The candidate should have a strong DataOps mindset and the ability to design solutions for testability, ...
We are looking for a skilled Data Engineer with strong experience in Python and AWS cloud technologies. The ideal candidate should have hands-on knowledge of building automation frameworks, managing test scripts, and working with various AWS services. This role requires good technical understanding, strong problem-solving ...
... data reports, dashboards, and visualizations to support strategic insights. Reporting Environment Management: Design and maintain reporting systems including data sources, metadata, and security. Data Warehouse Support: Identify, revise, and implement reporting requirements to enhance data warehouse efficiency. Data Integrity ...
... data quality use cases, and data quality reports for approval by data owners and stewards.- Working closely with the Agile Technology teams (product owners, data engineers and product managers) to ensure successful delivery.- Leading, contributing and collaborating on ways to improve ways of working, identifying gaps across ...
... clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity ...
... learning and statistical modeling to improve decision-making and automate business processes. Data, Tools & Technical Leadership - Prepare and analyze large datasets using cloud platforms such as AWS and Snowflake. - Use SQL, Python, Jupyter Notebooks, Looker, and related tools to analyze data and generate insights. - ...
... Line-of-Business, you will work at the intersection of HCM domain expertise, enterprise data, applied AI, and agentic technologies—helping shape how employees, managers, HR leaders, and businesses interact with SAP through intelligent experiences. You will collaborate with product, engineering, data, and research teams to ground autonomous ...
... Main Responsibilities - Responsible for CRF design (Unique) in the EDC database, screens design, Data Validation Plan writing, edit checks programming in EDC database as per the study specifications, and writing listings specifications. - Work closely with the Data Manager & Lead Data Manager responsible for the study under ...
... assigned. Education & Experience - BS or MS in statistics, engineering, or equivalent. - 3+ years prior industry experience in data programming activities. - Data programming experience in two or more of the following: Python, SAS, STATA, and R - Demonstrated successful experience in all relevant clinical data management ...
GCP Data Engineer- Location : Bangalore Experience : +6yrs About the Role We are looking for an experienced GCP Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform. The ideal candidate should have strong hands-on experience in GCP Data Engineering, ...