- UpvoteDownvoteShare Job
- Suggest Revision
This hands-on role will report to the Workday Principal Administrator as part of HR Technology Team. This role will drive HR Data reporting and analytics strategy, data discovery and collection, data security, data modeling, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The LCRR Regional Lead will work closely with the Specialized Solutions group to apply dashboarding capabilities, advanced data analytics, and machine learning for predictive modeling of SL material identification but will not be responsible for development of these tools.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
DFDL message modeling for CSV / COBOL and TDS data. 4 Years of strong experience working with JAVA, IBM's JAVbased Extended Structured Query Language (ESQL), and development tools such as IBM Integration Toolkit, IBM MQ Explorer, and Oracle SQL Developer Oracle Business Process Management (OBPM), IBM Data power, IBM WebSphere Message Broker, and other integration technologies.
$60,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proficiency in financial modeling and data analysis tools (e.g., Looker, Google Sheets, Power BI). In this role, you will be responsible for managing all Total Cost of Ownership (TCO) and economic-related activities for the CCoE. You will play a crucial role in financial cost modeling, tracking, reporting and monitoring cloud spend, and ensuring the organization's cloud investments are optimized for cost-effectiveness and business value.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Conduct hydrologic and hydraulic modeling, analyze data, and prepare reports and recommendations for water resource management projects. Proficient with stormwater modeling software such as CivilStorm or StormCAD required.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Collaborate across multidisciplinary teams—Compliance, Data Science, Model Risk Management, Data Governance, and Human Resources. This position reports to the Head of Fair Lending and works closely with the Head of Data Science, Fair Lending Compliance, and Model Risk Management to establish and lead a comprehensive and robust Fair Lending Analytics function.
$180,000 - $220,000RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
You are also able to coach others and be a mentor in Ontology and Data Modeling. Strong data analysis skills (e.g., SQL, python, R) along with an understanding of technical patterns used to consume and process data at scale (e.g., graphQL, spark.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Our services include land surveying, machine control modeling, sUAS, LiDAR, BIM, Subsurface Utility Investigation, and GIS & spatial data management services. We exist to build awesome teams and create opportunities by collecting, managing, and presenting Geospatial data.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proficient in all concepts of interest rate risk modeling, balance sheet dynamics, fixed-income analytics, and non-maturity deposit behaviors. Job DescriptionResponsibilities include, but are not limited to: Loads data into models in /ZMdesk system, processes and generates reports for the Bank's interest rate risk sensitivity analysis as needed.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Mining, data modeling, natural language processing, and machine learning to extract and manipulate data from multiple large data sources and deliver predictive models that inform solutions for in-house teams (i.e. pharmacy pricing, medical costs, risk scores, onboarding) and customer engagement across critical journeys (i.e. calories, heart rate, breast cancer, maternity.
$149,500 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Statistics Tableau and Power BI PL/SQL and databases both SQL and NoSQL Data structures and algorithms Artificial Intelligence and Machine learning Machine learning Algorithms Decision Tree and Random Forest Algorithms Naïve Bayes and KNN Algorithm Support Vector Machine (SVM) Statistics Random variables, Zscore, Hypothesis testing, Expected Value Predictive Modeling : Different kind of Business problems and different phases of Predictive modeling and Popular Modeling Algorithms.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
A solid understanding of SQL and knowledge of data architecture, data modeling, data mapping, data analysis, and data visualization Strong communication skills and attention to detail and accuracy.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Technical Expertise: A deep understanding of Enterprise Software architecture, design patterns, and modern programming languages coupled with a strong foundation in machine learning algorithms, data modeling, and MLOps practices across the major cloud providers (AWS, Azure, GCP.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Analytical and creative; you see connections between your work holistically across the business and find creative ways of approaching problems with expertise in customer data analysis, segmentation, and predictive modeling.
$100,000 - $125,000Full-timeExpandApply NowActive JobUpdated Today
data modeling jobs in Hackensack, NJ
FEATURED BLOG POSTS
How to Navigate Hiring Out of State
The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).
Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
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 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:
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.