- UpvoteDownvoteShare Job
- Suggest Revision
Use analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools, and machine learning techniques and statistics (e.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
6+ years of work experience in the field of Data Science, building and productionizing machine learning / AI algorithms for classification, regression, clustering, time series forecasting, topic modeling, anomaly detection etc.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
A Bachelor’s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that includes 12 semester or 18 quarter units of coursework in data science, predictive analytics, research methods or statistical analysis.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing.
$55,000 - $136,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Strong working knowledge in applying data analysis algorithms (statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) Our Data and Analytics teams help organizations apply advanced analytics techniques to drive competitive advantage, use advanced learning algorithms to solve complex business problems and create differentiated value, and generate insights by capturing data from machines and devises in near real-time.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience in machine learning, deep learning, information retrieval, natural language processing or data mining preferred. Solid experience managing diverse data sources, including preprocessing, cleansing, and verifying the integrity of data to develop data marts for data science use cases and machine learning applications.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The ideal candidate is adept at using big data sets and applying machine learning and artificial intelligence techniques for analysis and prediction tools focused on environmental and meteorological applications.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills. As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience with machine learning-related frameworks (e.g., TensorFlow, PyTorch, model registry, OpenMetadata, ML feature store). Design and develop the next-generation machine learning platform to support thousands of model training pipelines concurrently and trillions of daily batch predictions.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices. Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices.
ExpandUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Agility to collaborate and influence peers and business partners as organization matures across Enterprise Marketing Data & Analytics (e.g., marketing and ad tech. 4 years of experience in managing, and mentoring data science, data engineering, and/or analytics teams in the financial services industry.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
- Suggest Revision
4 years of experience in managing, and mentoring data science, data engineering, and/or analytics teams in a highly regulated environment. 10 years of experience working in data and analytics, including data governance and data innovation across an organization developing strategies, managing major initiatives, and delivering.
Full-timeExpandUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Preferred Qualifications: Up-to-date knowledge of machine learning and data analytics tools and techniques. Conduct ongoing research on cutting-edge techniques and tools in machine learning, deep learning, and artificial intelligence.
$70 - $75 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Research experience (publications) in the following areas is preferred machine learning, deep learning, NLP, computer vision, data mining, causal inference, information retrieval, game theory.
$133,600 - $282,200 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
machine learning data mining jobs
FEATURED BLOG POSTS
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.
How to Ask for a Raise at Work
Here we go again; it’s time to talk money. Whether you’re one year in at a new company or approaching year five on the same team, learning how to ask for a raise should be part of your long-term career plan. These conversations are rarely fun (thanks to society, which has conditioned us to believe that money is taboo), but they are necessary if you want to, well, get paid what you’re worth. Trust us, there’s a lot of money on the table for taking. Below, we’ll discuss tips on timing, approach, and follow-up.
How to Maximize Action Verbs in Your Resume
Writing a resume that stands out takes more than using keywords and savvy formatting. It’s not just about having an impressive list of accomplishments. It’s also about how you position them using action verbs and deliberate word choice. So if you are looking for a way to craft a resume that stands out and gets calls back? Start by sprucing up your resume with captivating action verbs.