- UpvoteDownvoteShare Job
- Suggest Revision
MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent. Ability to ingest, blend, and transform data for modeling inputs including exposure to data storage, ETL, and manipulation tools.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$130,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Implementing data science and statistical tactics such as regression, time series modeling, and other predictive modeling to forecast key business metrics and build alerting to spot areas of risk early.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Masters degree in Computer Science, Physics, Mathematics, Statistics, Data Science or related technical discipline. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Requirements: Requires a Master's degree or foreign equivalent in Statistics, Business Analytics, Business Administration, Economics, Econometrics, Information Science, Computer Engineering or related field and 3 years of experience as a Data Analyst, Statistical Analyst, Data Scientist, Decision Scientist, Pricing Analyst, Predictive Analyst, Modeler, Engineer or related position involving data analytics.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
The Data Science/Applied Science team supports MCM's growth by supporting the launch of new features through modeling, algorithmic and analytical excellence. Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering.
$176,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. As an Associate in our Risk Analytics and Modeling team, you'll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrating exposure to modeling methodologies in at least one of the following areas: credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics areas; and.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Displaying knowledge or familiarity with industry financial instrument pricing tools and data sources e.g. Bloomberg, Refinitiv etc. Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Displaying understanding of advanced AI/machine learning, statistical/econometric modeling techniques, and financial engineering methods to develop and/or validate models (Masters-level coursework in at least one of these subject areas is preferred.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Handle, manipulate and analyse data and information responsibly. C#, SQL, Tableau, Alteryx, and Excel Macros / VBA /JS; A career in our Advisory Acceleration Centre is the natural extension of PwC's leading class global delivery capabilities.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
To help us achieve this we have the PwC Professional; our global leadership development framework. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
An advanced degree (master’s or doctoral) in a quantitative fields including but not limited to Computer Science, Applied Mathematics, Astro/Physics, Computational Chemistry, all relevant engineering and science disciplines.
$212,000 - $318,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Masters in Mechanical, Nuclear, Materials Engineering, Structural Mechanics, Materials Science, Applied Mathematics or related field. Support the company's design-for-construction and materials qualification efforts by performing Finite Element Analysis (FEA), analytical assessment and data analysis.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Document and explain results of data analysis, trend identification, and predictive modeling. Requirements: Requires a Masters degree (or foreign equivalent), in Statistics, Business Analytics, or related field and 2 years of experience as Data Analyst, Statistical Analyst, Data Scientist, Pricing Analyst, Predictive Analyst, Modeler, Lead Consultant or related position performing Big Data Analytics.
ExpandApply NowActive JobUpdated 2 days ago
data science applied mathematics predictive modeling family care jobs
FEATURED BLOG POSTS
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.
Recruitment strategies that are weird, but actually work
In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.
How To Make $100K a Year – No BS Strategies & Advice
If you’re like most of us, you’d love to be wealthier. Having more money would alleviate stress. It would make it easier to pay your bills and buy nicer things. Maybe it’d allow you to spend more time with your kids and go on more vacations. You’re not alone if you wish you could somehow earn a more significant income.
How to Write a Recommendation Letter for a Student
When a student applies for their first job or for their next academic degree, they don’t have much experience to showcase their skills and personal qualities. Hiring managers and admissions officers, therefore, often look at recommendation letters as a way to go beyond the student’s GPA and learn more about the student’s skills and personal qualities.
How To Answer “Why Do You Want to Be a Supervisor” in an Interview
Anyone who has worked in a supervisor role knows how challenging yet rewarding it is. But chances are if you're trying to become a supervisor, you'll be forced to answer:
What is Career Cushioning?
Is your organization prepared for “career cushioning”?
How to Gracefully Quit a Job You Just Started
You’ve just started learning the ropes at your new job, and you've gotten to know your colleagues. But you’re already thinking about quitting. Maybe you were deciding between to job offers and realized that you’ve made the wrong choice. Or, a change in your personal circumstances means that you have to quit.