- UpvoteDownvoteShare Job
- Suggest Revision
Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
A Baccalaureate degree from an accredited college in Criminal Justice, Criminology, Sociology, Statistics, Mathematics, Computer Science, Operations Research or a closely related field; and one year of satisfactory full-time experience in the analysis and/or research of data related to crime, criminals, criminal intelligence, and/or other social sciences in a police, judicial, or other criminal justice setting; or 2.
$91,561Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Required Skills: A PhD or Master's in a technical discipline such as statistics, computer science, mathematics, physics, quantitative finance, operations research or similar. Experience with statistical analysis and calculations using market data Understanding of commonly used market risk metrics and method such as VaR, stress testing.
$75 - $95ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related field. You will operationalize our existing data sets to create thought leadership pieces and strategic tools that enhance our sales efforts and provide innovative workplace strategy services.
$115,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
For data Science/Data Analyst/AI/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
BS/MS/PhD in a quantitative discipline (econometrics, statistics, mathematics, physics, computer science etc.) Strong quantitative/statistical skills in the field of predictive analytics with broad knowledge of regression analysis, time series analysis, Monte Carlo simulations, artificial intelligence, and data mining algorithms.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Heres what you should have:Bachelors or Masters degree in Computer Science, Data Analytics, Statistics, Mathematics, or a related discipline is a plus2+ years of experience in a data analysis role, with a proven ability to manipulate and analyze large datasetsProficiency in data manipulation and analysis using SQL, Python, R or the equivalent; knowledge of SAS is a plus but not required.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Education & Experience Requirements:Bachelor’s degree in management information systems, computer science, data science, or information technology, or combination of education and relevant experience.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Bachelor's degree in Computer Science, MIS, Mathematics, Statistics, Business or related field. The Field Business Intelligence Team plays a meaningful role in measuring the health and success of our company's distribution system through reporting, data analytics and insights to tell a story with data using sophisticated techniques and visualization.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Graduate degree in computer science or information management/ technology. Technical Analyst (Data Analytics) Employment Type: Full-Time, Experienced Department: Legal/ Information Technology CGS is seeking a Technical Analyst to join our team supporting a wide-ranging technical support initiative for a large Federal agency.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field. Proven experience in data analytics, data engineering, and application development.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Associate's Degree in Information Technology, Computer Science, or a related field and 4 years of experience in IT or a similar role (internships or co-op experience will be considered.
$130,000 a yearExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Required Skills: Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, or a related field. 10 years of experience as a Data Analyst or similar role.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Bachelor’s degree in a technology-related or quantitative field (Computer Science, Information Systems, Engineering, Logistics, Supply Chain), with 5-10 years of relevant experience. to serve as the subject matter expert for multiple procurement applications, with a focus on the Product Master Data system.
ExpandApply NowActive JobUpdated Today
data science computer jobs Title: analyst in Jersey City, NJ
FEATURED BLOG POSTS
Minimizing Candidate Renegs During the Hiring and Onboarding Process
Candidates reneging on job offers or during the onboarding process can be a frustrating experience for any recruiter. In a talent-driven job market, it’s common for candidates to have more than one job offer to consider. It becomes a race against time to see which organization can offer the best career experience, compensation, and circumstances that secure the right employees.
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."
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!