- UpvoteDownvoteShare Job
- Suggest Revision
Broad experience desired, but not essential, in multiple domain areas, such as data warehousing, business intelligence (BI),data governance, data architecture, data integration, data classification, data strategy, data quality management, data security and privacy, MDM, data standards, regulatory compliance, and enterprise architecture frameworks.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Technology Tools: AWS, Open Search and Python Data Science tools. Technologies to know: Statistical Tools may include: SAS, R, SPSS, Matlab, Mahout/ MADlib , Stata. Training & Certifications: Splunk , AWS, Big Data/Cloudera, VMWare, Scrum Master.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with web data services (serving and consuming) including WMS, WFS, WCS. Proficiency in Python, Golang, and SQL. Demonstrated experience in data modeling, design, and database management systems (preferably PostgreSQL.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Proficiency to manipulate data using R programming. R programming – ability to troubleshoot errors in R. The Clinical Data Scientist position interacts with many FDA stakeholders across several Offices and Centers specifically with clinical reviewers (Medical Officers) and statistical reviewers.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Python, IBM Cognos, and Databricks. Experience with data visualization libraries such as D3. Create and manage data visualizations using D3. Experience with front-end technologies such as Vue.js, HTML5, and CSS3.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience working in data analysis, modeling, and visualization packages in TensorFlow, Keras, PyTorch, Caffe, and Theano; and developing or integrating analytics in programming languages such as Python.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Programming:Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Data Visualization:Visualization Tools: Libraries like Matplotlib, Seaborn (Python), ggplot2 (R), or tools like Tableau, PowerBI. Data Interpretation: Ability to interpret visualizations and convey findings.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using technologies such as Python, SAS, or R. Strong candidates will explain various methods you have applied using common pre-processing functions such as stop word removal, stemming, lemmatization, and tokenization.
$200Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Support analytics team to execute data strategy and review analytic scripts (Python, Databricks, SQL, ACL). 1+ year(s) of experience in Excel, ACL, Python, SAS, Alteryx, R, SQL, or other advanced analytical programs.
$66,000 - $127,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
3+ years in a hands-on role performing advanced predictive analytics using tools like Python, R, or Scala. Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Analyze data in R and/or Python programming languages using techniques and platforms such as natural language processing, big data, machine learning, and cloud computing technology.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova).
$194,686 - $292,029 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Electronic engineering, information technology, matlab, optical, photonics, python, schematic, software engineer. Java, Python, Go, or similar languages. electronic engineering, information technology, matlab, optical, photonics, python, schematic, software engineer.
$146,000 a yearExpandApply NowActive JobUpdated Today
python r data jobs Company: Cardinal Health in Mclean, VA
FEATURED BLOG POSTS
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.
Recruitment strategies that are weird, but actually work
In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.
How To Make $100K a Year – No BS Strategies & Advice
If you’re like most of us, you’d love to be wealthier. Having more money would alleviate stress. It would make it easier to pay your bills and buy nicer things. Maybe it’d allow you to spend more time with your kids and go on more vacations. You’re not alone if you wish you could somehow earn a more significant income.
How to Write a Recommendation Letter for a Student
When a student applies for their first job or for their next academic degree, they don’t have much experience to showcase their skills and personal qualities. Hiring managers and admissions officers, therefore, often look at recommendation letters as a way to go beyond the student’s GPA and learn more about the student’s skills and personal qualities.
How To Answer “Why Do You Want to Be a Supervisor” in an Interview
Anyone who has worked in a supervisor role knows how challenging yet rewarding it is. But chances are if you're trying to become a supervisor, you'll be forced to answer:
What is Career Cushioning?
Is your organization prepared for “career cushioning”?
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.