- UpvoteDownvoteShare Job
- Suggest Revision
Business ecosystems, SaaS, infrastructure as a service (IaaS), ERP (i.e. SAP, Oracle), platform as a service (PaaS), APIs, Open data, Microservices, DevSecOps, Event-driven IT, Predictive analytics and AI/ML (Artificial Intelligence, Machine Learning), etc.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Computer Science, Customer Due Diligence (CDD), Data Analysis, Data Integration, Data Manipulation, Data Mining, Data Quality, Data Visualization, Data Visualization Tools, Enhanced Due Diligence, Machine Learning, Microsoft Power BI, Process Optimization, Statistical Analysis System (SAS), Structured Query Language (SQL.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience in working with tools like SAS E-miner and use machine learning models to identify patterns and anomalies in transaction data indicative of fraudulent activity. Design and monitor key fraud metrics and KPIs to evaluate the effectiveness of fraud prevention strategies Identifying new sources of data (internal or vendor-provided) that can enrich our existing fraud detection processes, be added to our decision systems, and allow for new detection strategies to be developed.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The Data Science team within the Buy Technology organization supports automation and data integration initiatives at Nielsen. These responsibilities include developing and implementing production solutions that leverage Machine Learning, Natural Language Processing, Entity Resolution and big data solutions.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As a member of the TMW Center’s wearable team, the Data Science Analysts will develop, test, and validate existing machine learning algorithms, train new algorithms, lead ETL efforts, and partner with other team members and vendors to connect the algorithm, hardware and firmware pieces together.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Defining industry-specific solution sets, system integration points, data migration requirements, and cybersecurity and other regulations and standards. Creating and maintaining industry specific sales enablement tools such as Industry Roadmaps, Statements of Direction, Industry Overviews and learning materials for IFS Academy.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Future projects as highly loaded SaaS web-based services for automating business processes in the field of medicine, insurance, finance, energy, including modules for processing large data arrays, billing subsystems, integration with external data sources, mobile applications, and IP telephony systems.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proficiency with tools and technologies like: Python Libraries: Scikit-learn, TensorFlow/PyTorch, Pandas Azure Services: Azure Cognitive Services, Azure OpenAI services, Azure Machine Learning, Azure Databricks, Azure Data Factory.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrating continuous, focused evangelism of IFS and the IFS Cloud product via public speaking, presenting at industry events, and social media engagement. Working in IFS Industries team, in conjunction with the Aerospace and Defense Industry Vice President, you will be regarded as the global Aerospace & Defense Industry “thought leader” across the rapidly growing IFS A&D Market Segments with a particular emphasis on defense manufacturing.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Subject matter expertise in cloud services and/or working with ecosystem partners in the cloud infrastructure, data, AI and machine learning, security, SaaS applications, and middleware services are positives but not requirements for this role.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Data Integration: Integrate data from disparate sources, both structured and unstructured to provide a unified view of key infrastructure platform and application data. Work closely with subject matter experts and colleagues to build and scale out machine learning and AI solutions that will detect, predict, and recommend solutions to correct issues before system impact and enhance the efficiency, reliability, and performance of CVS Health’s IT operations.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. The core of the C3 AI offering is an open, data-driven AI architecture that dramatically simplifies data science and application development.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Using innovative technology, data and marketing products, best-in-class learning and support services, and high-quality lead generation programs, Realogy fuels the productivity of independent sales agents, helping them build stronger businesses and best serve today’s consumers.
RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Strong understanding of IT architecture, cloud computing, and system integration. Proven experience in AI, MLOps, and machine learning, with a track record of successful AI projects. Experience designing solutions that leverage GenAI technologies, such as LLMs or Foundation Models for other data modalities.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
This critical system not only requires ongoing production maintenance but also demands enhancements through integration with Machine Learning (ML) and Master Data applications. Exposure to various design patterns within the data engineering paradigm is crucial for success in this role.
Full-timeExpandApply NowActive JobUpdated 27 days ago
data learning integration jobs in Des Plaines, IL
FEATURED BLOG POSTS
Virtual Reality Job Interviews
With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
A Potential TikTok Ban?!
As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
The Effects of Workplace Racism and Sexism
One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
When Rage Applying Strikes: How to Identify Unserious Candidates
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.
How to Increase Job Ad Exposure
In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
How to Navigate Hiring Out of State
The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).