- UpvoteDownvoteShare Job
- Suggest Revision
FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
$127,100 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
DE designing and implementing highly performant Oracle database PL/SQL packages and complex SQL queries to perform Extract, Transform and Load (ETL) operations; developing data transformation and ETL pipelines to migrate data across varied platforms (Mainframe system files and tables, Oracle tables, or Azure Storage Account files) using Informatica and Azure Data Factory; executing unit testing, performance, and User Acceptance Testing (UAT) using SQL Developer, Toad, or Apache JMeter.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
SUMMARY: The Senior Business Systems Analyst (BSA) reports to the Manager or Director in the Data Analytics and Insights department depending on assigned departmental duties/responsibilities.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Data Analyst, you will play a crucial role in analyzing and interpreting complex healthcare data using electronic health record (EHR) systems, SQL, and Power BI. As a Data Analyst, you will play a crucial role in analyzing and interpreting complex healthcare data using electronic health record (EHR) systems, SQL, and Power BI.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Machine Learning Operations Data Engineer II you will develop platform tooling, deploy data science models to production and monitor production performance. You will support Machine Learning projects end-to-end and develop platform tooling for the Data Science team.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The Athletics Ticket Office intern will assist the Athletic Ticket Manager and Assistant Ticket Manager with increasing the overall visibility of Brown University Athletics through ticket sales efforts.
Part-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Three or more years of professional experience in MLOps, Data Engineering, software engineering, or a related field. Candidates may also qualify to be considered for Machine Learning Data Engineer III.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in productionizing Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
If so, join our Financial Intelligence Unit (FIU) Analytics team and embrace this exciting and unique opportunity to learn about and interact with data from across the enterprise, including customer, transaction, and fraud metrics.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Integration of Governance Tool with Snowflake, Informatica MDM, Azure Data Services such as Azure Data Lake, Azure SQL Server, Azure Data Factory, etc. Installation, configuration and setting up of Data Governance tools such as Collibra, Informatica Axon, or Alation.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Extract, transform, and load (ETL) data from various data sources, with a focus on Snowflake and Google Cloud Platform. You may also work with Tableau and Python data visualizations as needed.
$145,860 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The Methods Analyst I will be responsible for reviewing reinsurance, insurance program structure, policy terms & conditions, and system data for accuracy and validating the data for use in natural catastrophe modeling software.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Partner with HR and business leaders to provide thought leadership and strategic thinking for the structure of analytics initiatives for people strategy, through demonstrating both expertise and execution with robust analysis and HR and business data integration; Collaborate effectively with HR and business stakeholders to ensure analytics identify actionable improvement opportunities aligned with execution of organizational strategic talent priorities, plans and resources.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
You will be responsible for Machine Learning Operations outcomes: Velocity of Model Deployments, Validation of Model Deployed Code and Versioning of Data, Model and Infrastructure. Bachelor's or higher degree in Computer Science, Statistics, Mathematics, Data Science, and/or related quantitative degree is preferred from an accredited institution.
ExpandApply NowActive JobUpdated 5 days ago
data job Title: data analyst Company: Brown University in Providence, RI
FEATURED BLOG POSTS
Brand Reputation 101
People's initial perception of your organization is also known as your brand reputation. Your brand rep either encourages or discourages people from engaging with your company. This means the way people view your company will affect sales and even recruiting efforts.
Recruiting in a Tight Market
As a recruiter or employer, you know how much the economy affects your recruitment and retention efforts. You aren't just in competition with companies in your industry, but you are also fighting against inflation, recession, unemployment rates, and so much more.
How to Build a Candidate Persona
A candidate persona is a semi-fictional representation of your ideal candidate. Building a candidate persona is one of the best methods employers use to ensure their sourcing, recruiting, and hiring processes are focused. Knowing exactly what you're looking for streamlines everything and helps increase hiring confidence. So here's how to create a candidate persona and how to use it.
How to Get Into The Trades: Step-by-Step Guide
Getting a trade job can be a great career move if you like variety and prefer to learn on the job instead of in an academic setting. A trade job can offer security and be a lucrative career path as the demand for skilled trade workers continues to grow.
How do Good Interviewers Prepare for Interviews?
Just like candidates take the time to research you and your company, you should take the time to prepare for the interview. Preparing for the interview doesn't just reflect well on your employer brand and create a better candidate experience. Preparation also helps prevent bad hiring decisions. Bad hiring decisions are usually a result of poor execution during the hiring process. However, going into an interview fully prepared and ready to evaluate candidates will help avoid bad hires. So, here are 6 interview preparation tips for employers.
How to Get a Union Job? A Step-by-Step Guide
A union job can significantly impact your job security, pay, and employment benefits. Whether this is your first job or you have years of experience, a union job can offer much-needed protection in a labor market where employees are hired and fired at will.
Should I Hire for Potential Over Experience?
The workforce is shifting every day. In fact, research from the World Economic Forum (WEF) shows over half of employees around the world will need to upskill or reskill by 2025. The rapid rise of digital literacy, automation, and new technologies will quickly supersede businesses that don't train ahead of the curve. With the dire need to invest in training, it's evident that hiring someone with experience isn't that much different than hiring someone without it.