The Data Scientist works under the guidance of the Technology team and will be responsible for analyzing raw information (particularly unstructured text data) to find patterns, build models to address business problems, and present information using various data visualization techniques and platforms. Applying business problems, turning the company's volumes of big data into valuable and actionable insights. Collaborating applicable, undertaking data mining and developing and documenting robust and scalable data extraction tools
about leading a dynamic team within the realm of data and technology, and if you thrive in a collaborative for As the Urban Data Lead, you will have a pivotal role in shaping the company's data ecosystem, optimizing cross-functional teams, you will lead a team of data experts, ensuring they align with the company's and work ethic. A Master's degree with a focus on data science or equivalent practical experience is required required, while possessing multiple additional data-focused qualifications would be highly desirable.
We require a Data Engineer and this is an office based postion. Modifying the database structure, as performance of the database. Maintaining archived data. Contacting database vendor for technical support policies, and procedures for data management. Define and implement alerts on data. Develop reports and ETL and procedures. Data warehousing. Will be responsible for developing ETL packages and data warehousing, International Data engineering Qualifications or certifications. Minimum of 5 years' experience as a Data Engineer
business analyst role, preferably in a formal data, data warehousing, or business intelligence enviro business analyst in data warehousing projects.
iOCO is seeking a highly skilled Senior Data Developer to join our innovative team. The ideal candidate
encryption protocols for data protection at rest and in transit. Utilize Data Loss Prevention (DLP) tools Implement data classification policies and technologies for labeling and protecting sensitive data. Manage appropriate data access. Understand and apply tokenization methods to replace sensitive data with non-sensitive non-sensitive equivalents. Implement techniques for data masking and redaction in non-production environments security events related to data. Implement secure methods for transferring files and data within and outside
the SAP, Java, Azure and Cloud landscape seeks a Data Streaming Platform Engineer. Running business critical
a visionary Data Scientist to spearhead their data-driven initiatives as the Head of Data Science. Join future of data-driven decision-making. APPLY NOW Key Responsibilities: Shape and execute the data strategy objectives and drive innovation. Lead a team of data scientists and analysts, providing guidance, mentorship Oversee the collection, storage, and analysis of data to derive actionable insights. Collaborate with leveraging data to solve business challenges. Develop and implement best practices for data governance
Responsibilities:
Data Analysis and Modelling:
reliable, on-time, efficient & high-quality data analytics solutions and professional services that Experience: • 3 – 7 years in Business Intelligence/Data Analytics/Data • Science/Modelling/Statistics • Programming skills • Knowledge of statistical modelling and data mining techniques i.e. Regression, • Random Forest