- UpvoteDownvoteShare Job
- Suggest Revision
Experience in Data science, machine learning, or optimization models. These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
REQUIREMENTS: Master’s degree (or foreign equivalent) in Computer Science, Data Science, Business Analytics, Statistics, Mathematics, or any related technical or quantitative field; and one (1) year of experience programming using Python and Scala; using Jira; performing large-scale data processing using Apache Spark; managing big data on Cloudera; performing Machine Learning; using AWS cloud platform; deploying tools and applications on Unix; and writing SQL in Hive and NoSQL databases.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Our program provides opportunities in roles such as business technologist and business analyst in areas such as Data Engineering & Analytics, Data/Decision Science, Intelligent Automation, Cybersecurity, Customer (Digital) Experiences, Commercial Excellence, Software Engineering, Cloud/DevOps/Security, and Scientific & Digital Health Technologies.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
4+ years of experience as a Machine Learning Engineer or Data Scientist. You will design and create machine learning models to provide faster and more effective ways to address cloud security, cloud operations, and cloud intelligence use cases.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
3 + years of work experience building Data and ML Infra, machine learning & NLP problems involving some or all the following parts of the pipeline: data extraction, developing and training machine learning models, working the new model to scale production deployments.
$114,500 - $168,700 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
OneStream unleashes organizational value by unifying data management, financial close and consolidation, planning, reporting, analytics, and machine learning. Bachelor's Degree in Computer Science, Computer Information Systems, Software Development, Electrical Engineering.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
8 years' experience in application development including machine learning engineer, data scientist, data analyst or analytics engineer. Provide technical support to other engineers and data scientists in AI and Machine learning methodologies.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Contact Center Solutions: Fueled by cloud based artificial intelligence and machine learning, we implement next generation contact center solutions, purpose built for each client.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Certifications in AI, machine learning, risk & compliance or data science. You'll bring diverse expertise in monitoring AI systems, machine learning model risk management, and applying regulatory requirements to frameworks and technical tools.
$73,000 - $220,400 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Develop data science solutions based on tools and cloud computing infrastructure. Machine Learning Engineer / Generative AI Engineer. Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.
RemoteExpandUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Background in Statistics, Computer Science, Machine Learning, Mathematics, Computational Psychology, Operational Research, Physics, or relevant field. Starting from the top of the funnel, Data Scientists build account rank models to score tens of millions of companies and also recommend companies that aren't yet in their CRM. Our Data Scientists apply cutting-edge natural language processing algorithms and deep learning models to predict whether a company is interested in our clients' products even before they visit their site.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Authoring and maintenance of efficient, scalable code intended to derive metrics from both live streaming (e.g. from embedded microcontrollers or cloud) and historical data. Understanding of machine learning methods and theory.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Machine Learning Data Engineer (Remote - US) Work alongside machine learning engineers for building duplicatable and high scale ML data pipelines. Continuously work alongside machine learning engineers to gather requirements, propose solutions, and implement observable, repeatable, and scalable ML data pipelines.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
3+ years of experience in data science and machine learning with a focus on retail tactic attribution modeling and recommendation systems. Experience deploying machine learning models in production on at least one cloud platform (GCP, AWS, etc.
ExpandApply NowActive JobUpdated Today
data science machine learning cloud jobs in Elkins Park, PA
FEATURED BLOG POSTS
Making the Move to Salary Transparency
The salary transparency trend continues. Last year, Colorado passed its Equal Pay Transparency Rules, which required employers to include compensation in job postings, notify employees about promotional opportunities, and record job descriptions and wage records. Soon after, states like Washington, Nevada, Maryland, and Rhode Island followed suit.
Brand Reputation 101
People's initial perception of your organization is also known as your brand reputation. Your brand rep either encourages or discourages people from engaging with your company. This means the way people view your company will affect sales and even recruiting efforts.
Recruiting in a Tight Market
As a recruiter or employer, you know how much the economy affects your recruitment and retention efforts. You aren't just in competition with companies in your industry, but you are also fighting against inflation, recession, unemployment rates, and so much more.
How to Build a Candidate Persona
A candidate persona is a semi-fictional representation of your ideal candidate. Building a candidate persona is one of the best methods employers use to ensure their sourcing, recruiting, and hiring processes are focused. Knowing exactly what you're looking for streamlines everything and helps increase hiring confidence. So here's how to create a candidate persona and how to use it.
How to Get Into The Trades: Step-by-Step Guide
Getting a trade job can be a great career move if you like variety and prefer to learn on the job instead of in an academic setting. A trade job can offer security and be a lucrative career path as the demand for skilled trade workers continues to grow.
How do Good Interviewers Prepare for Interviews?
Just like candidates take the time to research you and your company, you should take the time to prepare for the interview. Preparing for the interview doesn't just reflect well on your employer brand and create a better candidate experience. Preparation also helps prevent bad hiring decisions. Bad hiring decisions are usually a result of poor execution during the hiring process. However, going into an interview fully prepared and ready to evaluate candidates will help avoid bad hires. So, here are 6 interview preparation tips for employers.
Should I Hire for Potential Over Experience?
The workforce is shifting every day. In fact, research from the World Economic Forum (WEF) shows over half of employees around the world will need to upskill or reskill by 2025. The rapid rise of digital literacy, automation, and new technologies will quickly supersede businesses that don't train ahead of the curve. With the dire need to invest in training, it's evident that hiring someone with experience isn't that much different than hiring someone without it.