- UpvoteDownvoteShare Job
- Suggest Revision
The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. 8+ years of relevant data science experience in an applied role – preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
They will work with Data Science and Data Architecture teams to build Databricks-based data pipelines and bring data onto our enterprise-level data platform for Data Science, Analytics and Digital Marketing needs.
$75,800 - $113,675 a yearFull-timeExpandApply NowActive JobUpdated Today - 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.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Data science, data analysis, statistics, or related field, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, 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), Supervisory experience.
$110,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Applying data science methods (i.e., statistical modeling, machine learning techniques regression, forecasting / predictive modeling, decision trees) to healthcare and Life Sciences business problems.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Advanced coursework and/or research in Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields. 5+ years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies.
$124,000 - $182,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
2+ years of work experience as data scientist, software engineer, computational linguist or in similar role. Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack.
$103,000 - $156,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Deep understanding of the relationship between data and machine learning models. The Linguistic Engineer delivers datasets, consistent models and representations across languages and areas, as well as data infrastructure that powers the voice assistant product.
$124,000 - $182,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
8 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master’s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field and 6 years of experience in predictive analytics or data analysis.
$158,960 - $303,830 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Post-graduate degree (PhD or MD, completed or near completion) in biomedical data science, informatics, computer science, engineering, statistics, computational biology, or a related field, with a background or interest in imaging.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Job Description: We're seeking a proactive and highly skilled Data Analyst with a background in Computer Science, Data Engineering, or a related field, coupled with expertise in Google Cloud Platform (GCP) and Amazon Web Services (AWS.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with Core Quantitative Curriculum and 6 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research.
$158,960 - $303,830 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Subject Matter Depth and Breadth with some of the following statistical, econometric, data science, and predictive modeling approaches: Unsupervised Learning; K-Means; Linear Regression; Time-Series/Forecasting; Stress Testing; Logistic Regression; Gaussian Process; Simulation Models; Boosting/Bagging Trees; Neural Networks; Deep Learning Concepts; Bayesian Estimators.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Quant UXRs vary in background and use skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
Full-timeExpandApply NowActive JobUpdated Yesterday
data science jobs Company: Alston Bird in AR, Germany
FEATURED BLOG POSTS
How to Address a Cover Letter With Examples
It’s easy to get caught up in focusing on your resume – how it looks, what it says, and whether it’s going to land you a job interview. Because there is a big focus on building the perfect resume, job searchers often overlook the importance of a high-quality cover letter. Your cover letter plays a huge role in your first impression. It humanizes you and provides context for your resume.
How to Call Out of Work
No matter how happy we are with our jobs, there are days when we feel overwhelmed and want to call out of work. No, don't feel guilty. It's expected because we're humans, and we can't control the uncertainties of life. But the problem lies in how to call out of work without seeming uncommitted to work, especially if you seldom get work-free days.
What is Seasonal Employment?
Depending on where you are in your career, you might have first-hand experience with seasonal employment. Seasonal employment can be a great way to expand your skill set and earn extra cash while helping businesses meet seasonal increases in demand.
How to Avoid a Bad Hire
"A new employee who doesn't meet the minimum performance, quality, and culture fit standards you set when you began sourcing and recruiting. Additionally, bad hires will immediately show signs of self-interest instead of an interest in their role and the company."
How to Ask for a Letter of Recommendation
When the job board you subscribe to finally posts your dream job, you may feel like the stars have aligned. But part of securing a position that matches your career plan is ensuring you address all the application basics. You know, the resume, the cover letter, the portfolio. It seems like you've got this in the bag — until you realize they want a letter of recommendation, too!
What Are SMART Goals?
When it comes to achieving our goals, there’s a lot of noise to work through. A study by the University of Scranton has found that only 8% of people who set New Year’s resolutions actually achieve them. Our busy lives might be one reason for this. Another, even more important reason, is our approach to goal setting. Being too vague, too ambitious or simply unclear on the timeframe can set us up for failure.
In-House vs Outsourcing Recruiting: Which is Better?
When looking at in-house vs outsourcing recruiting, it is important to nail down the benefits for each and whether those benefits outweigh the risks that follow.