- UpvoteDownvoteShare Job
- Suggest Revision
The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Evaluate commercial and open-source techniques in machine learning, data mining, NLP, and analytics. Qualifications: - Master’s degree or higher in Computer Science, Statistics, Mathematics, or a related field with a focus on data mining, NLP, or machine learning.
$260,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrates knowledge of data mining methods, databases, data visualization and machine learning. As a Data Analyst, you will be under occasional supervision, responsible for data mining, data preparation, and reporting.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Analyzes data using data mining, machine learning, and statistical algorithms available in COTS tools (e.g. SAS, SPSS, and Oracle); builds analytical solutions using programming languages (e.g. R, Python, SAS), and programming libraries (e.g. Python SciKit, R Caret, PostgreSQL MADlib, Apache Spark MLlib.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Data mining and statistical modeling (e.g., regression modeling, clustering techniques, XGBoost, machine learning, decision trees, etc.) Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, and/or SAS; and.
$208,300 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The Data Scientist builds Natural Language Processing (NLP) models using Machine Learning (ML) and Deep Learning (DL) technologies to build data classifiers and extract meaningful insights from large data sets.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Master’s degree or PhD in machine learning, statistics, computer science, data mining, math, or any quantitative discipline. Along the way, you’ll be a part of a diverse team of machine learning engineers, data engineers, analysts, and technical project managers, each contributing their own unique skillsets in creating world-class solutions.
$166,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Real-world experience in solving business problems using machine learning, data mining, and data analysis. The primary focus is on applying data mining techniques, performing statistical analysis, and building high-quality prediction systems integrated with our solutions.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Analytical Abilities: Strong knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Knowledge of data mining, machine learning tools, such as Databricks. Our Team: Data Management and Analytics is the team under the AKI Division that is responsible to define and implement the data strategy for IDB Invest.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
- Suggest Revision
2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field.
$208,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - 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, and Machine Learning engineers for full-time positions with clients.
$140,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
Full-timeExpandApply NowActive JobUpdated 1 month ago
machine learning data mining jobs in Washington, Bar-harbor, Maine
FEATURED BLOG POSTS
What is a W-9 and How to Fill One Out
When you began working for yourself, you probably didn’t account for the tax reporting work that will fall on your shoulders each year. If you’re a freelancer, independent contractor, or business owner, filing your taxes is not as simple as uploading your W-2 form into some online tax preparation software. Most self-employed people need to complete a W-9 as a step for accurately reporting their earnings to the IRS. Below, you can learn how to fill out a W-9 and when to submit it.
Tightening the HR budget in 2023
With the state of the economy still uncertain, 2023 is expected to be approached with much anticipation. Human Resource leaders have many concerns, including how they will manage to accomplish their goals with budget belts already getting snug. Let’s look at some of the factors that the new year is projected to bring for HR and how to prioritize budgets to reach human capital objectives.
A Comprehensive Guide to Becoming a Better Conversationalist
Have you ever stood awkwardly next to someone at a party because you didn’t know what to say to them? How about at a networking event or on a first date? You're not alone if you’ve ever experienced this uncomfortable silence. Many people struggle to master the art of being a great conversationalist.
Why is Non-Verbal Communication Really Important?
In a world where words and phrases rule daily communication, you may wonder why non-verbal communication is important. Whether you realize it or not, you communicate more with nonverbal actions than you do with verbal communication. When you interact with your peers, people are reading your body language, facial expressions, voice, and many other factors that help fill in blanks that words can't fill.
Making Hybrid Work More Efficient
Covid was a catalyst for change in the work environment. Keeping people safe and helathy was the initial goal for employers, but the unintended result was the considerable demand in remote work. Now, onsite work has been dramatically altered to remote work, which is now transforming into a combination of the two: hybrid work.
How Can HR Technology Help Retain Employees?
Human resources' rapid adoption of technology has led to new ways of streamlining human capital management. Based on the IEE Global Study, these technologies changed how HR handled recruitment and retention in 2022. This includes tech like
Why is Time Management Important? 10 Crucial Importances of Time Management
We’ve all been there before. What starts as a relaxing evening scroll quickly becomes a full-blown binge. You blink, and it’s midnight - throwing off your entire next day before it even starts. And at its worst, this indulgence might leave you feeling behind on things you planned to finish that night. This is why time management is important.