- UpvoteDownvoteShare Job
- Suggest Revision
We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
RemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Embed machine learning, artificial intelligence and GenAI capabilities into the cloud applications and solutions to enable predictive analytics, data mining, and pattern recognition for driving productivity and efficiency in solutions delivered.
$114,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrated ability to work with large data sets using Python and SQL for data mining and machine learning. Knowledge of data science and machine learning methods and models (clustering, classification algorithms, neural networks, etc.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
For data Science/Machine learning Positions. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools.
RemoteExpandApply NowActive JobUpdated 2 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.
ExpandApply NowActive JobUpdated 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 7 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-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Design, implement, and optimize algorithms for predictive modeling, machine learning, and data mining tasks. Strong programming skills in statistical library friendly languages such as Python, R, or STATA. Experience with data manipulation libraries (e.g., Pandas, NumPy), machine learning frameworks (e.g., PyTorch, Scikit-learn), and database querying languages (e.g., SQL.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Skilled in data mining, predictive modeling, and machine learning algorithms. Transforms complex data sets into actionable insights using SQL, VBA, Power BI. Analyze ROC performance data including claims, denials, collections, and accounts receivable, finance utilization, etc.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Apply supervised and unsupervised learning techniques, deep learning frameworks like TensorFlow or PyTorch, and ensemble learning methods to build and evaluate machine learning models.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Apply data mining, NLP, and machine learning to real-world problems and datasets. Extensive hands-on expertise in machine learning (Supervised/Unsupervised, Causal, Bayesian, Reinforcement, or Deep Learning.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
You will drive both short term and long-term research initiatives in areas such as artificial intelligence, machine learning & data mining, natural language processing, bigdata systems, information and data visualization, social & cognitive science.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Completed coursework in subjects such as machine learning, mathematical statistics, linear algebra, or data mining. We are seeking an exceptional Artificial Intelligence Architect to join the revolution, using deep learning, natural language processing (NLP), computer vision, chatbots, and robotics, to help us improve various business outcomes and drive innovation.
$18.5InternExpandApply NowActive JobUpdated Today - 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
machine learning data mining jobs
FEATURED BLOG POSTS
How to Ask for a Higher Starting Salary
Maybe you think you’ve finally found your dream job. Everything about it is perfect, except… the salary. Unfortunately, it just isn’t where you want it to be. So, should you give up and move on? Given all the effort you’ve already invested, it’s probably wise to try and negotiate a better salary before you do.
How to Pass a Personality Test with Flying Colors
Whether you’re applying for your first job or looking to move up the career ladder, personality tests aren’t usually the first thing we think about. But surprisingly, they can have a massive impact on how our future employers perceive us. In fact, a 2017 study by the Society for Human Resource Management (SHRM) has found that 32% of U.S. employers use personality tests when hiring for senior management positions, and 28% use them for middle management positions. Personality tests are also used for hourly workers and contractors, though less frequently.
10 Practical and Effective Strategies to Persuade Anyone of Anything
Learning how to persuade people is like a key that can unlock any door. Acing the interview for the job of your dreams. Getting the best deal on a new car. Closing a sale with a skeptical customer. All of these wins require a level of persuasiveness.
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?