- UpvoteDownvoteShare Job
- Suggest Revision
As a Data Scientist, you will leverage tools and languages such as Python, SQL, R and Java to build algorithms to support machine learning techniques and apply models to generate predictive analytics.
$42 - $57 an hourExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Employer will accept a Master's degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Biostatistics, or a related field, and one (1) year of experience in predictive analytics.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience applying statistical or machine learning algorithms, econometrics, and/or predictive modeling. Develop, tune, and deploy statistics & machine learning models including but not limited to classification, regression, natural language processing, forecasting, change point detection, sentiment analytics, etc.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
- Suggest Revision
A bachelor’s degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included a minimum of 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
O Proficiency in data science tools and programming languages (e.g., Python, R, SQL). o Strong expertise in statistical analysis, machine learning, and predictive modeling.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with programming languages: Python, R, MATLAB, etc. Apply advanced analytics methods to address business problems. Experience with data visualization tools: Tableau, PowerBI, Looker, etc.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Strong programming skills in Python, R, or other languages for statistical analysis, machine learning, and automation. This position requires expertise in utilizing the Manhattan SCALE database, SCI platform, as well as proficiency in SQL, Python, and/or R programming languages.
$23 - $45 an hourFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Proficient Coding Skills: Expertise in Python, R, or similar programming languages, and familiarity with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Proficiency in data analytics and/or programming tools, such as Minitab, JMP, SQL, Tableau, PowerBI, R language, Python, etc. Knowledge or experience with machine learning algorithms, predictive modeling, and data mining.
$120,000 - $165,000Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Areas of focus include classification, regression, natural language processing, forecasting, change point detection, sentiment analytics, etc. Partner with various business clients, data engineers, and data analysts to ensure your stakeholders have the advanced analytics support they need.
ExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as Python, R, SAS, etc.) Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Proficiency in statistical analysis, machine learning algorithms, and data mining techniques, with experience in Python, R, or similar programming languages. 8+ years of experience in predictive modeling, machine learning, or data science, with a focus on developing and implementing predictive models to solve real-world problems.
$170,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Data tracing, Data mining, visualization, analysis - identifying patterns/trends, exploratory data analysis, root cause analysis, Machine learning & predictive analytics. Proficient in MS-Excel, data visualization and scripting/programming languages (Python, R, SQL, VBA scripting or other like programming languages is desired.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience developing Machine Learning models and Predictive Analytics algorithms. Ability to manage/maintain large data sets and process through various software, applications, and programming languages: Excel, PowerBI, PowerQuery, SQL, R, Python, SAS, etc.
Full-timeExpandApply NowActive JobUpdated Yesterday
machine learning predictive analytics r python programming jobs Company: Inc in Raleigh, West Virginia
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.