- UpvoteDownvoteShare Job
- Suggest Revision
Requires experience in cluster management of vendor based Hadoop and Data Science (AI/ML) products like Cloudera, DataRobot, C3, Panopticon, Talend, Trifacta, Selerity, ELK, KPMG Ignite etc.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
The Employee Insights/HR Senior Data Scientist will report directly into the Head of HR Data Science. As a Director, Data Scientist for HR, you will serve as a member of the HR Data Science team within Employee Insights responsible for performing, developing, and executing on research and building predictive models dealing with recruitment, career advancement, mobility, organizational structures, performance management, succession, compliance, listening surveys, equality programs, compensation, inclusion & diversity, learning, and talent development.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Additionally, the Senior Director will help build and lead a new team within Audubon Technology, operating in close partnership with the other Data & Technology teams (Data Analytics, Data Engineering, and Enterprise GIS), Audubon Conservation (including the Science Division), the Chief Strategy Integration office, and other business teams across Audubon.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline. Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Working directly with Senior Management, investment professionals and top executives from portfolio companies, the Data Scientist will be responsible for the implementation and ongoing operational readiness of an array of data science technologies and practices to enable the firm's ability to analyze complex data sources, develop predictive and analytical models, and advise on smarter data utilization.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Various modeling, simulation, and data analysis roles including but not limited to COMSOL, ANSYS, Python, C. Enrolled in a STEM undergraduate or graduate program (mechanical engineering, aerospace engineering, materials science, electrical engineering, etc.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
VP, Portfolio Management Data Science. Will lead initiatives to enhance processes and infrastructure, leading the implementation of data science initiatives, applying expertise in develop monitoring reports, dashboards, and predictive models to enhance risk assessment capabilities.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
General knowledge of data science programming languages such as R (preferred) or Python, and proficiency in database query tools such as SQL. We're seeking an enthusiastic Actuarial Analyst who enjoys diving deep in data and producing quality reserve analyses.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; e web, service, data, and infrastructure) and insurance specific (i.e. Guidewire, EIS, Duck Creek, etc.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We work closely with other Treasury-Finance teams (Liquidity Management and Capital Markets), Stripe's Information team (Data Science and Data Engineering), Stripe's Money Movement & Storage (MMS) product and engineering teams to build great capital and financial risk infrastructure.
$223,600 - $335,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Knowledge of dental science e.g. oral anatomy, oral physiology and histology, restorative dentistry, periodontics, endodontics, prosthodontics, and oral surgery (note: strong oral surgery skills and experience are required.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
We are currently looking for a Senior Data Scientist to drive our data science and analytics group forward! Champion a culture of innovation and creativity within the data science team and the company.
$150Full-timeExpandApply NowActive JobUpdated 1 month ago
data science big jobs Title: scientist senior in New York, NY
FEATURED BLOG POSTS
How Does Salary Pay Work? (Compared to Hourly Pay)
At the bottom of each job advertisement, companies label a role as salaried or hourly. Both methods will get you paid (yay), but each in very different ways. So, it's essential to figure out how does salary pay work? While employees paid by the hour are paid based on how long they work, employers pay salaried employees a fixed amount.
The Quiet Quitting Phenomenon
The term, quiet quitting, was coined in 2009, but only now is it gaining traction as young Millennials and Gen Z workers are experiencing record levels of burnout. With the pandemic and the state of the economy, young employees are feeling the pressure. So, quiet quitting comes into effect when that pressure is exasperated by work stress and no managerial support.
How Does Salary Range Work (With Examples)
What are your salary expectations? Do you know? Establishing a salary that compensates you fairly and keeps you happy at work can feel like taking a shot in the dark. And employers sure don’t make learning budgets easy!
Guide to Hiring a Teenager
Teenagers are full of life. They bring energy and adaptability that may be hard to get from older workers, but does that mean that hiring teens is beneficial? Well, it depends. As you debate whether or not you should integrate teenagers into your workforce, there are some things that you should know first.
10 Best Tips to Find a Job When Relocating
Are you planning to move? That’s great news, but now you might wonder what that means for your job. Some people are lucky – they can relocate and keep working the same position as always, just remotely. For others, however, this isn’t an option. They must search for and land a job in their soon-to-be new city. This can be intimidating, given that getting a new job even under normal circumstances can be challenging. Now you’ll have to overcome additional hurdles. This article provides valuable tips on how to find a job in another state. Because it can be done! Read on to learn how.
How to Re-apply for Your Old Job Professionally
Have you recently started a new job only to find that you miss your old one? Maybe you didn’t realize how good you had it, and now you regret leaving. Don’t worry. You’re not the first person to feel this way, and you might even be able to return to your old job if you play your cards right.
Looking for New Candidates?
Before the turn of the century, recruiters could put their "help wanted" ads in the newspaper, and applications would pour in. Since then, recruiting has turned a new page. The use of the internet and other technologies allows recruiters to broaden their candidate pool for the simple reason being