- UpvoteDownvoteShare Job
- Suggest Revision
Knowledge of artificial intelligence, data science methods, and big data technologies. Business Intelligence tool experience (Qlik, QuickSight, etc.) Experience in contract management, Quickbase, and Quicksight/Amazon Q, SQL, Databricks.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Preferred Skills:Experience with Big Data analysis, Data Visualization, and/or Business intelligence tools;Ability to manage multiple tasks and prioritize changing work demands;Ability to understand legal documents and complex agreements;Familiarity with financial research tools.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Knowledge of Machine Learning/LLM knowledge, Data visualization Python, SQL, Power BI, Statistics, Deep Learning Algorithms & Big Data Technologies (Hadoop as an example), Natural Language Processing, Software knowledge, Automation.
InternExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The Procurement Analyst will help to develop and oversee the strategic approach to supply market analytics and act as a key partner with category managers on creating business intelligence and actionable market POVs. The position will act as the Tarkett North American (TNA) procurement lead sourcing analyst and will report into the Senior Director of Procurement, Raw materials.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
About Us: Sciera is a leading provider of Market Intelligence products and solutions, specializing in delivering data-driven insights and operational excellence to our clients. Our products and solutions help Fortune 500 clients transform big data into actionable insights – and insights into business successes.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Three (3) years of working experience in cloud-based Big Data Technology such as Elastic Map Reduce (EMR), AWS Glue, BigQuery, or Snowflake. The Cloud Data Engineer works on cross functional teams to develop the reusable Infrastructure as Code (IaC) to build data pipelines, create new Cloud Infrastructure, and support feature engineering and deployment of machine learning and Artificial Intelligence (AI) models.
$140,290 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Logility clients include Big Lots, Husqvarna Group, Parker Hannifin, Sonoco Products, and Red Wing Shoe Company. The Logility® Digital Supply Chain Platform leverages an innovative blend of artificial intelligence (AI) and advanced analytics to automate planning, accelerate cycle times, increase precision, improve operating performance, break down business silos and deliver greater visibility.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Bedrock, Amazon Lex, Amazon Kendra, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with simple API calls.
$204,300 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Develop and maintain expertise on the latest technologies relating to cloud, IoT, big data, and artificial intelligence to provide thought leadership to our prospects, customers, and within the company.
$207,300 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains; and possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients.
$336,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with big data technologies such as Apache Kafka, Apache Flink, and Apache Spark. We are looking for a Lead Software Machine Learning Engineer to join the Applied Intelligence Anomaly Detection Team.
$225,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Big Data, Master Data Management (MDM), Machine Learning / Artificial Intelligence (ML/AI/GenAI) Experience with GCP (Google Cloud Platform), Google Big Query, Google CloudSQL, Google Pub-Sub.
Full-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Our transformative solutions are powered by artificial intelligence, machine learning, learn from new insights, and seize new opportunities.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Being an expert on the latest health and wellness technology, products and use cases related to AI, big data, responsible AI (Artificial Intelligence) / Machine Learning (ML), and Internet of Things (IoT.
Full-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Proven expertise in using Power BI, Tableau, QlikView or other business intelligence tools. Proficiency in programming languages such as Python, R, or SQL; familiarity with big data technologies (e.g., Hadoop.
$231,220 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago
big intelligence jobs in Atlanta, GA
FEATURED BLOG POSTS
How to Call Out of Work
No matter how happy we are with our jobs, there are days when we feel overwhelmed and want to call out of work. No, don't feel guilty. It's expected because we're humans, and we can't control the uncertainties of life. But the problem lies in how to call out of work without seeming uncommitted to work, especially if you seldom get work-free days.
What is Seasonal Employment?
Depending on where you are in your career, you might have first-hand experience with seasonal employment. Seasonal employment can be a great way to expand your skill set and earn extra cash while helping businesses meet seasonal increases in demand.
How to Avoid a Bad Hire
"A new employee who doesn't meet the minimum performance, quality, and culture fit standards you set when you began sourcing and recruiting. Additionally, bad hires will immediately show signs of self-interest instead of an interest in their role and the company."
How to Ask for a Letter of Recommendation
When the job board you subscribe to finally posts your dream job, you may feel like the stars have aligned. But part of securing a position that matches your career plan is ensuring you address all the application basics. You know, the resume, the cover letter, the portfolio. It seems like you've got this in the bag — until you realize they want a letter of recommendation, too!
16 Tech Jobs You can Get Without a College Degree
You might think that if you don’t have a computer science, information technology, or related degree, then there’s absolutely no way you can break into the technology field and score a high-paying tech job. But this is a misconception. There are actually tons of tech jobs out there that don’t require a college degree. Instead, employers are more interested in the skills that you can offer. So, read on to learn more about how to land tech jobs without a degree.
What Are SMART Goals?
When it comes to achieving our goals, there’s a lot of noise to work through. A study by the University of Scranton has found that only 8% of people who set New Year’s resolutions actually achieve them. Our busy lives might be one reason for this. Another, even more important reason, is our approach to goal setting. Being too vague, too ambitious or simply unclear on the timeframe can set us up for failure.
In-House vs Outsourcing Recruiting: Which is Better?
When looking at in-house vs outsourcing recruiting, it is important to nail down the benefits for each and whether those benefits outweigh the risks that follow.