- UpvoteDownvoteShare Job
- Suggest Revision
Required qualifications, capabilities, and skills: Master's Degree with 5+ years or Doctorate (PhD) with 3+ years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
The Data Science Pillar in D+A will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Work with data scientists, IBP process leads and BU subject matter experts to help identify incoming data clusters to achieve maximum forecasting performance metrics (high accuracy, low bias and good trend shapes.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Master’s Degree with 5 plus years or Doctorate (PhD) with 3 plus years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Innovation is at the heart of everything we do at the Audit Analytics and Innovation Team. We're not a traditional Data Science team: we build creative Machine Learning solutions across multiple domains from LLM based chatbots, GenAI powered applications, to AML/Fraud solutions, Card statements anomaly detection, Customer call transcripts intelligence, etc.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Plano 7 (31067), United States of America, Plano, TexasManager, Data Science - AI Systems At Capital One, we think big and do big things.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Innovation is at the heart of everything we do at the Audit Analytics and Innovation Team. We're not a traditional Data Science team: we build creative ML solutions across multiple domains from LLM based chatbots, GenAI powered applications, to AML/Fraud solutions, Card statements anomaly detection, Customer call transcripts intelligence, etc.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Manager, Data Science - Financial Services. Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Sr Analyst, Credit Risk Management - Strategy & Data Science. Embark on an exciting career, at the forefront of transforming raw data into meaningful insights! Extract, process and transform data from multiple disparate sources; analyzing credit bureau data and alternative credit data.
$102,500 - $120,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
PhD in STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics. As a Data Scientist in the Garage, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across large number of customer records to harness the power of AI in unlocking the big opportunities to improve customer experience.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Plano 7 (31067), United States of America, Plano, TexasManager, Data Science - AI Systems. Manager, Data Science - AI Systems page is loaded. Manager, Data Science - AI Systems.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Data Scientist at Capital One's Auto Finance business, you'll be part of a high performing modeling and analytics team that's leading the next wave of disruption at a whole new scale. We are a Top-10 bank by deposits-a high-tech company, a data driven company, and a nationally recognized brand.
Part-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Leverage a broad stack of technologies —Python, Huggingface, VectorDB, Pytorch, ElasticSearch and more — to reveal the insights hidden within huge volumes of numeric and textual data. At least 2 years’ experience in open source programming languages for large scale data analysis.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Leverage a broad stack of technologies - Python, GitHub, Sagemaker, SQL, AWS and more - to reveal the insights hidden within huge volumes of numeric and textual data. Currently has, or is in the process of obtaining a Bachelor's Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date.
ExpandApply NowActive JobUpdated Today
FEATURED BLOG POSTS
10 Reasons to Be on Time at Work
Being punctual at work may not be something you’ve given much thought to, but it’s the foundation for building a successful career. All of your technical or job-specific skills will be in vain if your peers and superiors can’t trust you to show up on time and do the work. In fact, Simon Sinek once famously said that
Recruiting in a Recession: Hard Truths That Talent Acquisition Experts Must Accept
The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
10 Importancies of Setting Realistic Goals
We’ve all heard how important it is to set professional and personal goals. Developing and establishing goals keeps us motivated and moving forward in life. But not all goals are created equal. If you’re chasing goals that are too lofty, you’ll end up disappointed when you cannot reach them. Setting goals that are achievable and measurable is the key to success.
Email Etiquette Principles - Why is it Important
Why is email etiquette important? Let's imagine you're hiring for a new role, and you’ve just received the email below.
10 Reasons HR is Important to an Organization
"Nothing we do is more important than hiring and developing people."
7 Importances of Organizational Culture and How to Build It
The world of work has drastically changed in the past few years. Where a good salary and a nice office might have been enough to attract talent in the past, employees today expect flexibility, growth opportunities, and a healthy work environment. In fact, 77% of applicants say they’d consider a company’s culture before applying for a job.
Collaborative Recruiting: The Key to a Better Talent Acquisition Strategy
Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!