- UpvoteDownvoteShare Job
- Suggest Revision
Data science, machine learning, optimization models, Master's degree 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, Using open source frameworks (for example, scikit learn, tensorflow, torch.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Recent former analysts have enrolled in top Economics PhD programs, including the University of California—San Diego (UCSD), Boston University, and Notre Dame. A completed bachelor’s degree in economics, Computer Science, Mathematics, or a related degree is required at the time of appointment.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
- Suggest Revision
The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
- Suggest Revision
The base salary range for the Associate Director, Clinical Data Science - CEG is from :159,000-208,600. Perform integrative analyses of multi-omics data from clinical trials and research cohorts, including genomics, transcriptomics, proteomics, and imaging, to identify biomarkers related to treatment mechanism and response, and potential therapeutic targets.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Establish, develop, and implement optimal bioinformatics pipelines for the analysis of next-generation sequencing and other -omics data. Collaborate with translational scientists and clinicians to design and execute data analysis strategies that address key clinical oncology research questions.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Extensive experience and expertise, demonstrated via a strong publication record and prior work experience, in the analysis of cancer genomics data, including whole-genome sequencing, exome sequencing, RNseq, and epigenomic data.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
- Suggest Revision
There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrated expertise in statistical theory and a wide range of statistical methods and machine learning techniques for high-dimensional multi-omics data. Develop and publish relevant bioinformatics methodologies, pipelines, and algorithms, and stay abreast of the latest advancements in bioinformatics, machine learning, and oncology research.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Ph. D. in Computational Biology, Biostatistics, or a related field. Derive novel prognostic and predictive signatures using statistical and machine learning methods to guide patient stratification and biomarker selection in clinical trials.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry's business. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry's pricing strategy.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Bachelor’s degree in Computer Science, Engineering, Management Information Systems (MIS), Business or related/relevant degree AND minimum of 5 years of experience as a Data Engineer, Database Developer, BI Developer, Software Engineer, Programmer, Technical or Systems Analysts, and/or Database Administrator preferred.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Minimum educational qualification is a PhD or equivalent in fields including but not limited to environmental science, communication science, sociology, history of science, data science, and computer science.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
- Suggest Revision
PhD, MS + 2 years, BS + 4 years of work experience in Computer Science, Machine Learning, Mathematics, Statistics, Operational Research or related quantitative fields. Walmart Global Tech is looking to hire a Senior Data Scientist for our Sunnyvale location.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
What you’ll need: A bachelor's degree in Computer Science, Data Science, Engineering, or a related field;Over 8 years of experience in data engineering and analytics technical strategy.
$77 - $118Full-timeExpandApply NowActive JobUpdated 3 months ago
data science jobs Title: data architect Company: Zendesk
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!