- UpvoteDownvoteShare Job
- Suggest Revision
For quantitative roles, Predocs will manage and manipulate data using requested packages, such as STATA, Python, R, or MATLAB. Statistical/programming experience and/or applied experience with Python, STATA, R, or MATLAB. Behavioral predoctoral roles require familiarity with qualitative coding and research methods, including tools like Qualtrics and MTurk.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Proficiency in data visualization tools (, Tableau, Salesforce CRMA), SQL and SAQL, and statistical analysis software (, R, Python). Collaborate with IT and data management teams to improve data collection, cleansing, storage, and retrieval processes.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Extensive experience in quantitative modeling using interactive computational platforms such as Python, R, MATLAB, or similar, using modern data structures, analysis, and visualization tools in production Windows and/or Linux environments is required.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Expertise in programming languages (e.g. Python, R, SQL, JavaScript), version control, and other data science related tools (e.g. D3, AWS, dbt) Experience with developing advanced data visualizations and dashboards (e.g. Dash, Streamlit, R Shiny and front-end frameworks such as Flask and Angular) in business settings.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
You will leverage your fundamental knowledge of biosensors, fluorescence data, and bioengineering R&D to act as an expert for the interpretation, and analysis of, nELISA experimental data coming from R&D and day-to-day Lab Operations, connecting the fundamentals of the science to the specifics of the data.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Develop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience with data monitoring and vendor operations, data collection, data-entry, data-monitoring, data-validation, discrepancy management, data-extraction, and IRB/regulatory requirements.
$76 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Solid software development skills including experience in R, Python and SQL. Knowledge of Database design and query optimization a plus.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, SAS, Python, R, Matlab or Mathematica.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience programming in languages such as Python, R, Scala, SQL, JavaScript, C/C. As needed, collaborate with internal and external collaborators to identify optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using data science.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Extensive experience in programming languages such as SQL, Python, R, and C# KCC professionals are globally recognized experts in catastrophe modeling and risk management. Use client data and industry losses to perform model validation processes that enhance KCC's latest catastrophe models.
Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Must have Tools: Selenium, Client Load Runner, TOAD for Oracle 12.6, Python, Oracle SQL Developer 18.2, PL/SQL, UNIX, AWS, FileZilla, Microsoft Visio, WinSCP, Java, MS Office, Atlassian JIRA, Putty, COGNOS.•Prior experience working in healthcare or government setting with a strong knowledge base in healthcare insurance principles, eligibility, and Medicaid Management Information System (MMIS.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity and experience utilizing data warehouse, data analytics, Smartsheet, K2 and reporting tools a plus (e.g., Cognos, SQL, R, Python, Tableau, Power BI) Demonstrated ability to effectively utilize disbursement data and trusted advisor relationships to identify opportunities, build cross-functional problem-solving coalitions, continuously improve efficiency and effectiveness of assigned activities, and ultimately delivery better outcomes via published performance management framework (e.g., business management system, service level agreements, key performance indicators.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Matlab, Python, R, SQL, and good coding practices. Experience with common statistical methods, basic data science principles, and AI/ML methodologies. Resource Management - Ability to manage one's time within individual, departmental, and corporate goals and timelines; management of internal and external resources (vendors.
$209,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
python r data warehouse aviation management jobs Title: data in Boston, MA
FEATURED BLOG POSTS
Why Leadership Is So Important in Your Career
There are plenty of baseball players worldwide, but only a select few will master the sport enough to play in the World Series. Similarly, you’ll meet hundreds of “managers” throughout your professional career. Still, only a few will cement themselves as true leaders in your mind. This is why leadership is important—the most influential leaders leave a mark. They inspire.
Making the Move to Salary Transparency
The salary transparency trend continues. Last year, Colorado passed its Equal Pay Transparency Rules, which required employers to include compensation in job postings, notify employees about promotional opportunities, and record job descriptions and wage records. Soon after, states like Washington, Nevada, Maryland, and Rhode Island followed suit.
Brand Reputation 101
People's initial perception of your organization is also known as your brand reputation. Your brand rep either encourages or discourages people from engaging with your company. This means the way people view your company will affect sales and even recruiting efforts.
Recruiting in a Tight Market
As a recruiter or employer, you know how much the economy affects your recruitment and retention efforts. You aren't just in competition with companies in your industry, but you are also fighting against inflation, recession, unemployment rates, and so much more.
How to Build a Candidate Persona
A candidate persona is a semi-fictional representation of your ideal candidate. Building a candidate persona is one of the best methods employers use to ensure their sourcing, recruiting, and hiring processes are focused. Knowing exactly what you're looking for streamlines everything and helps increase hiring confidence. So here's how to create a candidate persona and how to use it.
How to Get Into The Trades: Step-by-Step Guide
Getting a trade job can be a great career move if you like variety and prefer to learn on the job instead of in an academic setting. A trade job can offer security and be a lucrative career path as the demand for skilled trade workers continues to grow.
How do Good Interviewers Prepare for Interviews?
Just like candidates take the time to research you and your company, you should take the time to prepare for the interview. Preparing for the interview doesn't just reflect well on your employer brand and create a better candidate experience. Preparation also helps prevent bad hiring decisions. Bad hiring decisions are usually a result of poor execution during the hiring process. However, going into an interview fully prepared and ready to evaluate candidates will help avoid bad hires. So, here are 6 interview preparation tips for employers.