Hourly Rate: Not Sure
| Duration: Not Sure
| Posted: 20h, 34m ago | Ends: 2d, 3h |
I need someone to prove two basic theorems in a well-defined system of equations. While this is not a requirement, bonus points if you can do so in a Python or R package for automated theorem proving and provide the source code, as this is something I would like to learn. The problem is well formed, but I do not have the mathematical background to produce the proof. It is a two-sided matching system with applicants and organizations. I want to prove something with respect to the relationship between the number of applications per applicant, and offer rates by organizations. I would also like to prove that this system is in an unstable equilibrium given two basic assumptions. Please let me know your background and availability to work on this over the next few days. This will be an hourly project. I will provide more details with respect to the specifics of the problem on request. I look forward to working with you.
Fixed Price: Not Sure
| Posted: Jun 21, 2015 | Ends: 5d, 0h |
Using R, create a program that automatically creates various transformations (logs lags etc.) of existing variables based on a specified set of rules (such as variable should not have too many zeros for a log transformation). The transformations will be a follows (sub-bullets indicate what type of variables the transformation should apply to): 1. Log transformations a. All numeric KPI variables b. Variables should not have >5% of number of observations as <=0 2. Lagged Variables (up to 4 lags) a. All numeric KPI variables 3. Create Seasonality variables, using the 'date' variable a. Week b. Month (1,2,3,4,5,6,?,12) c. Quarter (1,2,3,4) d. Year (..,2013,2014,2015) 4. Create dummy variables a. All seasonality variables (month, qrt, year) b. All categorical variables 5. Derivations from existing variables of count, count distinct, mean, sum, min, max (by specified break points) a. All categorical variables Every transformed variable needs to be kept and renamed as a separate vari...
Hourly Rate: $35 / hr or more
| Duration: Not Sure
| Posted: Jun 18, 2015 | Ends: 2d, 6h |
I'm looking for an experience statistician with experience in R to work on a project with me. The role has the potential to expand into a longer-term role, approx. 5-6 hours a week. Thank you for your consideration.
Fixed Price: Less than $500
| Posted: Jun 16, 2015 | Ends: 15d, 13h |
Looking for someone that is good with calculus to write a script in Python or R. The goal of the script is to take an input table of previous daily stock prices and identify when the best dates for buys and sells were. The script will use one input table containing three columns; SYMBOL, DATE, and PRICE. The input table is one row per date and per symbol. The script should create an output into a new column in the table called IDEAL_ACTION with values of either "BUY", "SELL", or blank generated from the description below? The input table is some function y=f(x) that fluctuates over a range x. The goal is to find out when the best times to buy or sell were. The best time to buy was when the value of f(x) is at a local minimum, and the best time to sell was when f(x) is at a local maximum. The local maximum and local minimum can be arbitrarily defined to be when value of f(x) is at either a smaller or larger magnitude than the f(x) within the a certain range....
Fixed Price: More than $10,000
| Posted: May 11, 2015 | Ends: 49d, 19h |
Job Description: Position: Sr. Business Analyst / Customer Insights Predictive Modeller / Data Scientist Location: San Jose, CA Job Type: Permanent (Full-Time) Reports To : Delivery Manager Experience : 3 + Years Education : PhD/Masters in Statistics/Economics / Masters in Computer Science / Advanced Analytics education background (MS and above) Summary: ? The Customer Insights & Analytics team works closely with Business Units, Marketing, Measurement and Product teams to answer strategically important business and product questions. The team identifies and solves important and complex problems utilizing advanced data analysis and modelling skills. Insights from the team are frequently used by Company executives to provide direction and power growth of the Marketplaces Business Unit across the globe. ? On a day to day basis this role will work in the Data Science/Predictive Modelling team and will be responsible for using analytical techniques to deliver insights and implement f...
Preferred Location: United States