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R Jobs

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Fixed-Price - Est. Budget: $ 100 Posted
Hi, The job is to create a R script that does the following. 1. Takes a number as argument. This is the number of days to look back. 2. Read in csv files in a directory. The files are named like this trades.20150519.csv The date is in the filename and the date to look back is determined by the argument. 3. Calculate profit and loss for the strategies mentioned in the CSV file and send it as email. Also list the trades for the strategies. Details: the file looks like the one attached. the strategy name is in the order_ref for the entry.
Skills: R

Hourly - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
I'm looking for an experienced data scientist who has had some experience working on process optimisation (engineering related) problems. My data set is from a power plant desulphurisation process which has approx. 100,000 observations and 30 variables (including power). Using this data set, I would like to model the behaviour of power consumption with respect to the other variables. Then based on the derived model, find the optimal solution at which power is minimised subject to a few inequality constraints. This is an interesting problem and I'm confident that whoever takes on this challenge will find it rewarding! Practical experience in Neural Network Modelling, Nonlinear Programming and R will be considered favourably. If selected for an interview, further details about the project/expectation will be provided. I look forward to receiving your application.

Hourly - Est. Time: Less than 1 month, Less than 10 hrs/week - Posted
Scope of work: I am seeking a financially literate (derivatives trading, Black-Scholes, option greeks, binomial models) programmer. Phase 1 will be to create a simple random walk Monte Carlo (or geometric brownian motion) simulating the price of a stock with the volatility as a variable that dictates how much percentage the price can move from time1 to time2, following a log-normal distribution. Simple enough since I created a rudimentary model in google documents that does just that. The more complex part is to design a trade strategy that is based on a modified martingale which will go long/short. I have several google docs available that go into the mechanics of the strategy. Phase 2 will implement the same strategy (should it prove profitable) using theoretical options pricing models to achieve the same results as phase 1 utilizing call/put verticals and condors. Phase 3 will be a backtest of the strategy on real data.

Hourly - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
We would like help in wiritng an R Contextual Analysis in Hebrew (utf-8) We are doing daily sms surveys, with open questions and recives daily a nice bunch of answers, whom we would like to make machine based analyised via Machine Lerning in R Att. a CSV file, with the colums: Survey_Number Rank_Satisfaction_CD (1-7) IF_Rank_Satisfaction_NOT_VALID_ANSWER (i.e charcter) Rank_Recommendation_CD (1-7) IF_Rank_Recommendation_NOT_VALID_ANSWER (i.e charcter) LAST_ANSWER_OPEN_Text_Notes (free open text answer)

Fixed-Price - Est. Budget: $ 700 Posted
Writing a R script to extract data and visualize it using Shiny Dashboard Please refer to attached files
Skills: R

Fixed-Price - Est. Budget: $ 1,000 Posted
We are looking for "Real" Data Scientist a) with experience working on complex customer experience problems (product recommendations, click through rate analysis, targeting, personalisation, customer segmentation, churn analysis, Customer loyalty etc.) b) on customer data (customer behaviour, demographics, geography, purchase, social media etc.) c) fulfilling marketing expectations (campaigning, branding, research etc.) d) applying machine learning models on Python/ Scala/ R e) visualising on data visualisation platforms. You should apply if and only if you meet ALL from (a) to (e) above. This is a long term position. Recommend friends.

Hourly - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
I can provide the data; you pick a GDP forecasting model and provide code (preferably in R). I also need some analytics that show the logic behind the forecast (e.g. a breakdown by contributing factors). Details: 1. Any reasonable modelling approach (e.g. Vector Auto-Regression or factor analysis) is fine as long as you have reasoning to back up the choice. I prefer intuitive to complicated models. The model does not need to be original. 2. The number of input variables should be below 30 to avoid complication. I can provide any necessary macro or market input data. 3. Analytics: The output must include reasoning that makes it clear what the drivers of the forecast are – e.g. a breakdown of the forecast into contributions from consumption/investment/other data. a. Some impulse response function or scenario analysis type output would also be good. Just the numbers is fine as I can then chart them in excel. b. Similarly, if we could make statements like: “Our GDP forecast for...

Fixed-Price - Est. Budget: $ 1,000 Posted
We are looking for Apache Spark Developer. Experience: 6 months+ Projects : Atleast one on Spark Processing, Atleast one Spark Mllib Atleast one Spark SQL Language : Scala/ Python (No Java) Domain : Preferred Marketing, Retail Skills: Spark API usage across Scala (highly preferred)/ Python and SQL, as well as how to integrate streaming analytics, machine learning, and graph algorithms atop the Spark core (SQL, Streaming, MLlib, GraphX). Data Frame, ML Pipelines, and SparkR is a high plus, not mandatory. Please apply if and only if you have ACTUALLY worked on real world production environment projects for customers. Coding on MLlib is a MUST. Simply Use Case and/ or training knowledge doesn't suffice us. Guys from premier colleges (IIT or equivalent) and/ or Startup background preferred. NDA would be required.