- UpvoteDownvoteShare Job
- Suggest Revision
Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The Data Scientist will conduct artificial intelligence and machine learning (AI/ML) research and development for a portfolio of NASA applications with focus on aeronautics projects such as Air Traffic Management, Aviation Safety, Sustainable Aviation, and/or Advanced Air Mobility.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Guide the development and implementation of data science solutions, including machine learning algorithms to unlock insights and drive innovation and forecasting in content development and support teams such as finance and corporate development.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Specific tasks will include data curation and database expansion, database management, website and data server maintenance, data archiving, working with Stanford libraries, and creating computational tools such as Python scripts for data processing to support artificial intelligence and machine learning efforts in cardiovascular imaging and modeling.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
You will be responsible for developing, validating, and implementing cutting-edge machine learning algorithms, including use of Large Language Models (LLM) applied to diverse healthcare data sources, e.g. electronic medical records and to generate medical reports.
$250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Expert in SQL, capable in Python, and experience with Business Intelligence tools such as Looker, Mode Analytics or Tableau. Lead Machine Learning Engineer. Working with our business operations, finance, sales, marketing, product, and insurance teams to design and build data sets to drive Vouch’s business.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Understand the data tables, data architecture and work closely with data engineering team and business owners to determine the best way to extract and present data (BI reporting, machine learning with front-end user interface, etc.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Cutting-Edge Machine Vision*: We're in the business of AI and data science.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Act as a subject matter expert in precision medicine, artificial intelligence/ machine learning and share insights and contribute to the company's thought leadership. Through the aggregation of extensive real-world data (RWD) and the application of advanced machine learning techniques, we seek to deepen our understanding of biology, uncovering transformative insights that will reshape the development of new therapies and patient care practices.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Lead the configuration and maintenance of the OneStream platform, including workflows, data sources, transformation rules, business rules, calculations, dashboards, data management sequences, and cube/master data.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience with SSAS and SSIS is desired. 3 years of architectural design and implementation experience in a Data Warehousing & Business Analytics environment (e.g., Data Lakes, Data Marts, BI, including development and implementation, data analysis, and report writing.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience with HFM integration. 3 years of experience with specific technology domain areas (e.g., software development, systems engineering, infrastructure, security, networking, data & analytics.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
The Business Intelligence (BI) Systems Administrator will play a critical role in ensuring the smooth operation and optimization of BI solutions within the organization. Understand cumulative translation adjustment (CTA) calculations and their impact on financial statements.
ExpandApply NowActive JobUpdated Today
hands on machine learning data engineering business intelligence jobs Company: Rain And Hail Insurance in United-states, District Of Columbia
FEATURED BLOG POSTS
4 Ways to Make Your Job Posting More Inclusive
According to a Glassdoor survey,
How to Conduct a Performance Review (With Examples)
In a world where the smallest mistake can cost your business tens of thousands in lost revenue, your talent is key to keeping your edge on the market and driving growth. However, managing a workforce of any size can be a challenge. Employees come with their own particular skill set, ambitions and flaws. So, it can be difficult to uncover their individual drivers. Not to mention the challenges brought on by the hybrid and remote working models where in-person interactions have become few and far between.
How to Recruit Passive Candidates
Learning to recruit passive candidates is a different ballgame than recruiting active ones. While an active candidate is someone who is currently looking for a new job, a passive candidate tends to be the opposite. Passive candidates are either already working or not looking to work. So, instead of these candidates coming to you, you'll have to find them and reach out to them first.
How to Effectively Recruit Employees
Today, hiring and retaining talent looks much different than it did only two or three years ago. Financial instability and the strain on our mental health brought on by the pandemic has made everyone more wary and selective of their workplace and employer. Whereas in the past people might have prioritized promotions and financial reward, today they look at other factors such as workplace flexibility, personal fulfillment and values alignment.
How Many Hours is Part-Time vs. Full-Time Work?
Growing up you watched your parents shuffle to and from the office, held hostage to their 9 to 5. If jammed-packed schedules and deadlines sound frightening, you might consider pivoting your search to part-time jobs. In fact, even employers have shifted their preference, selecting more people open to the idea of flexible working hours.
How to Make a Job Offer More Competitive
Money alone makes it hard to attract and retain top-notch candidates, especially when you are competing with larger businesses and corporations in your industry. So, instead of focusing on money, figure out how to make a job offer more competitive when you can't offer more money.
5 Ways to Stretch Your Hiring Budget
Many businesses across the country have adjusted business operations to make it through the pandemic. After a period of hardship, many business owners, like yourself, are ready to start recruiting and rebuilding a bigger, more skilled workforce - only now you have to do it with a smaller hiring budget.