- UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience working on analytical platforms like SAS, R, Python, Azure ML. Stay updated on advancements in data science, machine learning, and analytics. Extensive professional experience with Big Data systems, data pipelines, and data processing.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Should have worked on big data initiatives & scalable data architecture like Hadoop, Hive, Cloudera, Spark. Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
RNN) in a work setting, not just academic projects Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Java, R , MATLAB, Scala, and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop. Strong Knowledge of the theory and applications of machine learning, AI, deep learning, data science, NLP, text analytics, unstructured data analytics, supervised/unsupervised learning.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Present or past Experience in analytic tools such as R, Python, AWS, and Databricks to build advanced analytic models, and exposure to accessing data from cloud platforms and big data systems such as Hadoop HDFS & Hive would be an advantage.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with R, Python, Big Data, and Data Warehousing. Strong advanced proficiency in SQL, statistical analysis, machine learning modelling, and data visualization tools.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
About our organization:Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers.
$150,400Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Complex Data Parsing (Big Data Parser) and Natural Language Processing (NLP) Transforms on Azure a plus. A data solution engineer generally works on implementing complex big data projects with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into insights using multiple platforms.
$158,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
- Suggest Revision
You are an expertly skilled leader in the Data and Analytics industry with a variety of experience in data architectures, patterns, and methodologies focused on Analytics Strategy, Data Governance & Master Data Management, Data Architecture(s), Big Data & Internet of Things, Data Visualization and Analytics and AI. You should be passionate about research, prototyping and staying current on emerging technologies through continued education and significant community participation.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Analyze and mine very large quantities of data to find patterns and insights using multiple Analytical Stacks like R, Python, Spark, SAS, SQL etc. Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Hands on-experience working with technologies like – GCP with data engineering – data flow / air flow, pub sub/ kafta, data proc/Hadoop, Big Query. with experience working in a Big Data ecosystem.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Substantial experience operating big data infrastructure in a cloud-based ecosystem (Databricks preferred). The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience as a hands-on contributor or in leading a team to develop multiple advanced analytics solutions or design/implement large data engineering programs in areas such as price optimization, underwriting risk management, market mix effectiveness analysis, agency management, customer lifetime value, customer segmentation, claims analytics, contact center analytics, etc.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Design and develop data solutions, such as data warehousing on Big Data platforms using ETL and visualization tools. Strong SQL command and the ability to write complex queries on big data sets.
Full-timeExpandApply NowActive JobUpdated 13 days ago
on big data r jobs in New York, NY
FEATURED BLOG POSTS
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!
16 Tech Jobs You can Get Without a College Degree
You might think that if you don’t have a computer science, information technology, or related degree, then there’s absolutely no way you can break into the technology field and score a high-paying tech job. But this is a misconception. There are actually tons of tech jobs out there that don’t require a college degree. Instead, employers are more interested in the skills that you can offer. So, read on to learn more about how to land tech jobs without a degree.
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.
How to Maximize Action Verbs in Your Resume
Writing a resume that stands out takes more than using keywords and savvy formatting. It’s not just about having an impressive list of accomplishments. It’s also about how you position them using action verbs and deliberate word choice. So if you are looking for a way to craft a resume that stands out and gets calls back? Start by sprucing up your resume with captivating action verbs.
What is Your Desired Job Title?
You’ve decided to look for a new job. So now comes the question — what is your desired job title? There are lots of considerations to think through when deciding on the right title for your next role.