- UpvoteDownvoteShare Job
- Suggest Revision
Previous work experience in database marketing, data mining and predictive modeling (Work experience or projects). Previous experience with database marketing, data mining and predictive modeling, various analytical software platforms, would be beneficial to validate experience with data driven methods, but are not essential.
RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrable proficiency and experience with visualization and data preparation tools (Python, R, SQL, Alteryx, Tableau, and PowerBI) As Strategic Data Scientist and Business Intelligence Generalist IV in the Strategy Development Office within the Corporate Strategy department, you will have the opportunity to utilize various data channels and sources to influence and guide the direction of DTNA’s strategic program (GO2030) and beyond.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The Business Data Analyst is responsible to provide data quality assessment, data analysis, pattern and trend identification and data visualization. Act as the technical SME for groups across the business in regards to sources data, customer process, data manipulation, and analysis techniques(modeling, predictive analytics and data science.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
To serve these goals, CBDS seeks interdisciplinary scholars whose work spans diverse areas, including but not limited to: machine learning, computer vision, natural language processing, AI-enabled health, computational biology, systems biology, bioinformatics, biostatistics, dynamic modeling, responsible and interpretable AI, multi-scale multi-modal data integration, and data analytics and visualization.
ExpandUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Use a variety of exploratory, data visualization, and statistical techniques to uncover actionable insights, including A/B testing, cohort analysis, regression modeling, trend analysis, user segmentation, and machine learning.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Basic Knowledge of data architecture, data modeling, data mapping, data analysis, and data visualization. Basic skills in building and deploying predictive models, web scraping, and scalable data pipelines.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The data science goals include identifying biomarkers associated with response and resistance to therapy; modeling etiologic causes of cancer; modeling the development and progression of cancer; organizing and processing large data resources to create harmonized datasets; and mining datasets for novel subtypes of diseases.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
- Suggest Revision
5+ years experience with data visualization tools (Tableau or PowerBI) in creating data/reporting for senior level management. Day today activities include analyzing structured and unstructured customer feedback and transactional data, working with advanced analytics team members to develop data-driven insights, and modeling predictive analytics to inform key process improvements.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Problem Solving: Lead efforts to tackle challenging data science and machine learning problems, from predictive modeling to natural language processing, that have a significant impact on the organization's success.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with data visualization using Tableau, Quick sight, or similar tools. Experience with data modeling, warehousing, and building ETL pipelines. Own advanced data extraction and basic data engineering needs for your customers.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with data visualization tools such as Tableau, Power BI, or QlikView is a plus. Optimize ThoughtSpot performance through efficient data modeling, data loading, and query optimization techniques.
RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Deep understanding of data warehousing, data modeling, ETL processes, and data visualization techniques. Evaluate, select, and implement BI tools and technologies to enhance data visualization, reporting, and analytics capabilities.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Proficient in SQL, experience with Python and data visualization tools. 3-5 years of work experience in risk analytics and/or modeling role within Fintech/Banking. Solve interesting credit and user segmentation challenges with alternative data and advanced analytics.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Must be able to intuitively understand if data looks correct and use a variety of tools and techniques to accomplish data validation and visualization. Must possess advanced skills in Excel, including Pivot tables, VLOOKUP, INEX/MATCH and data tables.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Work you’ll doProvide expertise on Medicare (preferably Claims) Healthcare AnalyticsDevelop healthcare data analysis visualizations and support data linkages to those visualizationsPerform data modeling, database development and managementDevelop user stories and mockups for data visualizationPerform coding and testing of data visualizations using open source or visualization packages such as Tableau.
ExpandApply NowActive JobUpdated 9 days ago
data visualization modeling jobs in Portland, OR
FEATURED BLOG POSTS
Virtual Reality Job Interviews
With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
A Potential TikTok Ban?!
As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
The Effects of Workplace Racism and Sexism
One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
How to Increase Job Ad Exposure
In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
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.