Data Science Jobs

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Hourly - Intermediate ($$) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
Apartment List Rentonomics analyzes and publishes data on rental trends in the US (see (https://www.apartmentlist.com/rentonomics for our work), and we are looking for a part-time data scientist to help with some visualizations. For this specific project, we are trying to create chloropleth maps of different metropolitan areas in the US (e.g., SF, LA, Chicago, etc.), showing which cities in the metro are affordable for people of different occupations (e.g., nurse, cook, teacher, firefighter). The map will need to have drop down selectors to allow viewers to select the occupation and location. See attached for an example map (example does not include dropdown filters). We will provide the data, and need your help turning it into a map. We are flexible as to whether you do this in R, Python, or what tools you use. This posting is for a one-time project, but if successful, there will be other visualizations and analysis that we need help with.
Skills: Data Science
Fixed-Price - Entry Level ($) - Est. Budget: $15 - Posted
I have about 600 emails with a table of information on them. I need specific information to be extracted from this email and placed on a microsoft excel spreadsheet. I also need to see the data graphed and charted. I have attached a redacted sample of one of the emails with the table of information as an example. Questions I want to have answered from this data set include: What percentage of my calls are coming from Brunswick, GA? What percentage of my intake calls heard about us from a billboard? What percentage of my intake calls from Brunswick heard about us from the radio? etc AS a final request, I would like to be able to be able to forward all future emails with this information and I would like it to be automatically entered into a google spreadsheet.
Skills: Data Science Data Entry
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, Less than 10 hrs/week - Posted
Hi, The purpose of this job is to develop a software that will analyze Forex historical data in order to locate certain types of patterns. The patterns that will be discovered will be used to construct an automated trading software (algo trading). The algo trading is not in the scope of this job. I will give you exact guide lines as to the patterns that we seek. This is an ongoing project since the exact scope depends greatly on the patterns that will be discovered. The qualified candidate is as follows: 1. Have a proven experience in similar jobs 2. Talented programmer 3. Very intelligent 4. Creative 5. Advanced degree in computer science - an advantage This is the first milestone in a long-term and a very interesting and challenging project. The price will play a significant role in the contractor selection. In the light of the above, I'd recommend you bid your lowest possible rate to win this job. Thanks in advance, Menachem
Skills: Data Science Data mining
Fixed-Price - Intermediate ($$) - Est. Budget: $300 - Posted
I need pricing and other relevant data on the lodging industry in the vicinity of the Bluecut fire in Southern California, which burned from August 16th through August 22nd. I am looking for a freelancer who can use data scraping techniques and internet archives to scrape - at a minimum - the prices and zip codes for each listing by date and by number of guests. For each day and each listing within 100 miles of the fire I would like the price for a one night stay. If you could also extract the qualitative aspects of listings - such as airbnb listing has a gym (1 or 0) that would be stellar and we can negotiate a bonus for that. I would like the data to range from June 16th through October 22nd. Even though the data do not fully exist yet I would like to begin the project sooner than later to find out from an expert what the technological capabilities are for scraping from these or similar sites. Some basic information about the fire can be found here: http://inciweb.nwcg.gov/incident/4962/
Skills: Data Science Web Crawling Data scraping "Extract, Transform and Load (ETL)"
Fixed-Price - Intermediate ($$) - Est. Budget: $30 - Posted
I'm looking for a qualified individual who can do Multiple Regression in a Time-Series Data. Attached is a hypothetical data, you can populate more data by copying the available data. Supposed you have 1000 records. I want a Manual/ hand calculation. Who can also write the step by step procedure. Thanks,
Skills: Data Science Big Data Statistics
Fixed-Price - Intermediate ($$) - Est. Budget: $15 - Posted
Hi, I am a developer myself and would like to hire someone long term in Python development of Spark and related Machine Learning programming. Seeking someone who actually knows how to program with IBM Bluemix for Spark. Please apply to this first of many jobs to come if you are determined to be of a competent help. This first task is to demonstrate if I will hire you for more later paid tasks. So if you are good with Python and Python libraries use for Programming Spark, Please do Apply and send me your Skype contact as well to discuss.
Skills: Data Science Apache Spark Machine learning Python
Fixed-Price - Intermediate ($$) - Est. Budget: $45 - Posted
I need an Excel list created of all the solo and two attorney firms who are members of the Boston Bar (I currently use -http://www.sljinc.org/atty_resources.php) By solo and two attorney firms, I mean they is only 1 or 2 attorneys working at the office. I would like them in these categories: Name, Firm Name, address, email, phone and website (if provided). If you can determine if they are a solo or two attorney firm that would be great because that's who I'm targeting. Each will need to be a separate column header on the spreadsheet. This ensures that I can easily filter the data.
Skills: Data Science Data mining Data Recovery Data scraping
Fixed-Price - Expert ($$$) - Est. Budget: $15 - Posted
Hi, I am a developer myself and would like to hire someone long term in Python development of Spark and related Machine Learning programming. Seeking someone who actually knows how to program with IBM Bluemix for Spark. Please apply to this first of many jobs to come if you are determined to be of a competent help. This first task is to demonstrate if I will hire you for more later paid tasks. So if you are good with Python and Python libraries use for Programming Spark, Please do Apply and send me your Skype contact as well to discuss.
Skills: Data Science Apache Spark Machine learning Python
Fixed-Price - Intermediate ($$) - Est. Budget: $350 - Posted
Looking for a qualified data analyst to go through raw property data in Australia: - Median prices, price movements and momentum per suburb last 18 years (houses and units) - Demographics data per suburb - Interest rate movements : http://www.loansense.com.au/historical-rates.html Full list of variables: State Suburbs Postcode Distance from CBD Separate data for all houses, 3 br houses, all units, 2 br units Asking property price Median Asking property price Change on prev week Asking property price Rolling month % change Asking property price Rolling quarter % change Asking property price 12 month % change Asking property price 3 year % change Rental asking price Median Rental asking price Change on prev week Rental asking price Rolling month % change Rental asking price Rolling quarter % change Rental asking price 12 month % change Rental asking price 3 year % change Vacancy rate (Red number) Walkscore.com Median age Couples without children (%) (2011) Couples with children (%) (2011) One parent familes (%) (2011) Other families (%) (2011) Weekly family income (2001) Weekly family income (2006) Weekly Family Income (2011) Median mortgage repayments (2011) Median Rent (2011) Separate house % (2011) Semi-detatched % (2011) Flat, unit, apartment % (2011) % Owned outright (2011) % Owned with mortgage (2011) % Renters (2011) 1 bedroom (2011) 2 bedroom (2011) 3 bedroom (2011) 4 bedrooms (2011) Median number of cars (2011) Identify trends using different mathematical regressions and correlations and determine the highest capital growth areas and potentials. What will be provided: - Spreadsheet with raw data (outputs above Questions: - What suburb can I invest into today (houses and separately units) that will achieve the strongest growth within the next 10 years? - What suburbs are the safest blue-chip investment areas (house and units) - What type of property should I buy in those suburbs (1br, 2 br etc)? - What variables most impact property price movements? - Affordability vs mortgage repayments - ROI / yield per suburb (rental yield) - All other useful data / analysis Outputs: - Formulate spreadsheet into a more readable and easy to understand document - Conduct a series of trend analyses and determine what the best drivers of 'capital growth are'. - Provide easy to access graphs and data to support conclusions - Assumptions - Workings - The output needs to be able to automatically change if raw data is updated. Project is a highly autonomous one and we are looking for a fast turnaround. Qualifications: - All basic skills and mathematical knowledge needed for a project like this - Deep intuition and understanding of property - Love of numbers and deep data diving. - Ability to create reports for an end user making investment decisions with clear explanations of theory (short-hand - no long essays) and proofs. - Understanding of investor sentiment and 'herd mentality' and price momentum The outputs need to be understandable for any layman. Please provide samples of data / projects you have done in the past and a methodology you would use. After this project we have a much more in depth analysis within suburbs that may be available depending on successful completion of this one. Best, Alan
Skills: Data Science Data Analytics Data Modeling Microsoft Excel