R Jobs

71 were found based on your criteria {{ paging.total|number:0 }} were found based on your criteria

show all
  • Hourly ({{ jobTypeController.getFacetCount("0")|number:0}})
  • Fixed Price ({{ jobTypeController.getFacetCount("1")|number:0}})
Fixed-Price - Intermediate ($$) - Est. Budget: $300 - Posted
Hi, I'm looking for a program that automatically writes simple descriptive, qualitative summaries of quantitative data. That means I want the automatic production of an actual paragraph of written summary that describes the statistical data. The data are simple trend data on society -- raw numbers and percentages for various indicators (e.g, indicators for people in poverty, average income, college degree attainment, etc), across many years, for each county in California. The data are in over 100 csv (excl) files. They are not all in the exact same format, but typically do have the same basic format -- the name of the file represents the indicator, and each file has counties in the rows, years in the columns, and rates in the cells. I want the program to be reusable, so new summaries can be produced automatically when new data are added. The descriptive summary would describe the indicator, the location the indicator is measuring (e.g, which state and county), the existing rates, past rates, and changes in the rates over time. For example, the output the program would produce would look like this, "This indicator is the percentage of people with a college degree. In Fresno County, California, the rate for 2013 is 22 percent. That is a 1% increase from the last measurement in 2012, a 5% increase from 5 years ago in 2008 when the rate was 17 percent, and 8% increase from 10 years ago in 2003 when the rate was 14 percent." This above paragraph in quotes is an example of the actual output that the program needs to produce. Obviously the percentages, years, indicator, and county would vary, and the program you build would need to be able to produce the same basic output structure for data that varies by percentage, years, indicator, and county. All output would look the same as above, with changes in the wording (depending on the specific quantitative data) for the county, indicator, years, and percentages. The budget is negotiable, but thank you for keeping costs low, as this is for an educational nonprofit. P.S. I am open to nearly any technology you want to use, as long as it successfully completes the job.
Skills: R Natural language processing Python VBA
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
Hello there, I'm looking to hire someone to develop a supervised classifier model for text data in R that can categorize a large corpus of text into user-defined categories. ... Hello there, I'm looking to hire someone to develop a supervised classifier model for text data in R that can categorize a large corpus of text into user-defined categories. Please have experience working in R and experience with machine learning and text classifier models.
Skills: R Machine learning
Hourly - Intermediate ($$) - Est. Time: 3 to 6 months, 10-30 hrs/week - Posted
Looking for an experienced data analyst with proficiency in Tableau, data analytics and business intelligence to create visualisations based on a set of pre-defined KPIs and a Tableau dashboard from spatial in-store and consumer data. Start date: asap​ Length 2 months​ Advanced data analysis (linear regression) and Tableau skills are necessary. Predictive modelling skills are a big plus.
Skills: R Business intelligence Data Analytics Tableau Software
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
Attached is my R script, which pulls the S&P 500 stocks and puts them into one data set, both in wide and stacked format.
Skills: R
Hourly - Intermediate ($$) - Est. Time: More than 6 months, 10-30 hrs/week - Posted
i have some sports data and need to build a prediction that is accurate enough to work in real world situations. i already have an algorithm built in R using logistic regression, and it works reasonably well, but makes a couple of systematic mistakes, which i want to fix.
Skills: R
Hourly - Expert ($$$) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
Hello, I am looking for support in building and updating Machine Learning models using Azure Machine Learning. The initial task is the following: Building a recommendation engine, the data is already available the model we want to use is already chosen, but need assistant with manipulating and reducing the data through feature hashing, principal component analysis etc. I am hoping to establish a relationship with someone who has strong Machine Learning and statistical experience and can assist in evaluations of multiple clustering and predictive models. Thanks!
Skills: R Machine learning Microsoft Windows Azure
Hourly - Expert ($$$) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
The company helps publishers monetize their digital assets using advertising The company makes money by taking advertising from multiple third party advertising networks and agencies, and through a proprietary process, dynamically places it within a publisher’s digital asset. From there, the company collects the revenue from the networks and agencies, takes it commission, then remits the remainder of the funds to the publisher. Advertising networks and agencies (advertising partners) use different methodologies to price the advertising space they are buying within a publisher’s digital asset. Some advertising partners use a straight CPM (cost per 1000 impressions) method, others use a PPC (price per click) method, while very few use a CPA (cost per acquisition) method. In addition to the disparate pricing methods, advertising partners also use disparate placement methods such as RTB (real time bidding) with the acceptance of a price floor, RTB with no pricing floor, a black box of only knowing what the PPC is after click occurs. Given these pricing and placement differences, the company needs to develop a yield maximization algorithm where it can maximize the revenue from each ad unit, in a particular digital asset. Actual final coding will be conducted by our in-house engineers. Attached is related research.
Skills: R Adaptive Algorithms Algorithm Development Data Modeling
Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
I have a script I wrote in C# for another program that I want to be ported over into R. I script I wrote in C# probably isnt optomized and its written using classes from another program which are pretty easy to learn/understand but perhaps not clear to everyone. ... Basically it performs some functions on pieces of the time series data, returns results in a table and then loops over and does it again on the next sequence of time series data (ie does a function once a month, stores the monthly value of the function in a row and then goes onto the next month) I will provide the C# script and a high level documentation / easy language of the script for candidates that are short listed and then I will ask for your feedback in terms of ability to re-code in R. If the job goes well, I have 2 or 3 other scripts I need done as well along with some other more complex analysis.
Skills: R Machine learning Statistics
Hourly - Intermediate ($$) - Est. Time: More than 6 months, Less than 10 hrs/week - Posted
Need a proficient R and shiny programmer for a 10 to 12 month ongoing project. There will be a simple code challenge to determine your abilities.
Skills: R