- 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 1 month 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
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
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
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
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
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
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
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 - 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 Yesterday - 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
data science jobs Title: data engineer Company: Shopify
FEATURED BLOG POSTS
Why is Non-Verbal Communication Really Important?
In a world where words and phrases rule daily communication, you may wonder why non-verbal communication is important. Whether you realize it or not, you communicate more with nonverbal actions than you do with verbal communication. When you interact with your peers, people are reading your body language, facial expressions, voice, and many other factors that help fill in blanks that words can't fill.
Making Hybrid Work More Efficient
Covid was a catalyst for change in the work environment. Keeping people safe and helathy was the initial goal for employers, but the unintended result was the considerable demand in remote work. Now, onsite work has been dramatically altered to remote work, which is now transforming into a combination of the two: hybrid work.
How Can HR Technology Help Retain Employees?
Human resources' rapid adoption of technology has led to new ways of streamlining human capital management. Based on the IEE Global Study, these technologies changed how HR handled recruitment and retention in 2022. This includes tech like
Why is Time Management Important? 10 Crucial Importances of Time Management
We’ve all been there before. What starts as a relaxing evening scroll quickly becomes a full-blown binge. You blink, and it’s midnight - throwing off your entire next day before it even starts. And at its worst, this indulgence might leave you feeling behind on things you planned to finish that night. This is why time management is important.
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
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.