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This role carries primary responsibilities as a Platform Lead / Platform Engineer and Azure Platform Admin, while also contributing to ML Ops. Responsibilities: Design, build and configure a highly scalable and robust data platform on Azure and Databricks.
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JOB SUMMARY: The Paid Media Analyst will be responsible for collecting, analyzing, and interpreting data to uncover optimization and test and learn ideas related to our Paid Media campaigns across all media channels.
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Lead data modernization initiatives that include platform, technology and tools implementation and adoption. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
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Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
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Certified Tumor Registrar (CTR) designation OR Oncology Data Specialist designation (ODS) REQUIRED. As a Certified Cancer Registrar you will be responsible for case finding and abstraction of cancer data for HCA hospitals.
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Certified Tumor Registrar (CTR) designation OR Oncology Data Specialist designation (ODS-C) REQUIRED. Submit data monthly to the appropriate State Central Cancer Registry. Follow ACOS and state data standards and coding instructions to abstract all reportable cases.
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This role is supported through the guidance of the rest of the Insights & Analytics team along with other data specialists across GCO, with business knowledge provided by the Casino Marketing team.
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Prepare and supply data for key processes both shipboard and shore-side, within GCO and with each of the brand partnersInterpret data and present results in a clear and concise way. Partner with Global Casino Operations Analytics team and brand IT teams to grow and improve the quality of data available to inform guest offers and analysis of the businessReview recurring needs and questions with an eye to automate and streamline processes where possible.
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The curriculum is designed to train you to become a Data Analyst, learning Python, SQL, machine learning, data visualization and data engineering. We do this through Intensive courses & bootcamps in Web Development, UX/UI Design, Data Analytics & Cybersecurity, as well as Career Services aimed at helping our students to be prepared to look for a job after the course.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
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Experience in working with data classification and protection, server & endpoint security platforms (e.g. AV, encryption, HIPS), enterprise security event log management, OS/platform security standards, vulnerability management, and data loss prevention.
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Prepareand supply data for key processes both shipboard and shore-side, within GCO and with each of the brand partners. Support the Casino Guest Services team, as well as brand call centers with needed data to assist them in providing exceptional guest service.
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Experience with a Data Integration/Transformation for on-prem and Cloud tools (Such as Informatica, dbt, fivetran, Snowflake, etc. Expert knowledge of AWS, Azure, Snowflake, Data Virtualization and AI/ML technologiesIntermediate skills in Modeling tools (ER/Studio, Spark Enterprise Architecture, Erwin) and techniques (normalization, star schemas, data vault.
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Degree qualified and Masters in Quantitative Finance, Data Science or related qualification● Some exposure to the design of both pricing and execution algorithms● Experience of handling and analysing large datasets, including price data● Experience in using one or more statistical programming / data management languages.
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data job Title: data science lead in Miami, FL
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As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.
Recruitment strategies that are weird, but actually work
In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.