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Data Science Jobs

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Fixed-Price - Intermediate ($$) - Est. Budget: $300 - Posted
We are looking to hire a team or individual who will be capable of integrating with specific event sites API's to pull the backend data of those events and parse them into a visual format for our users to interact with. We will need specific metrics pulled from these events such as: Venue Capacity Number of Attendees (if possible) Times Dates Locations Categories and more! A few of the sites we would be looking to integrate with are Eventbrite, eventful, and stubhub. We are looking to automate this process and need the automation developed. Only
Skills: Data Science API Development json REST
Fixed-Price - Expert ($$$) - Est. Budget: $50 - Posted
I have just started a new startup team. As a requirement I had my take myer's briggs personality tests as well as strength analysis 2.0 top 5 strengths. I need a detailed report / analysis on how to effective manage a team with these personalities and strengths. I am looking for very detailed guidance on how to assign responsible to maximize company effectiveness. Will to pay large bonus for good work.
  • Number of freelancers needed: 2
Skills: Data Science Business Analysis Business Card Design Business Coaching
Hourly - Intermediate ($$) - Est. Time: Less than 1 month, 10-30 hrs/week - Posted
Want to get company names (particularly Solar PV installers) from online membership directories from Texas and Hawaii. Then identify two contacts from each company based on their position and then get contact information for both of those contacts. PLEASE SEE ATTACHED INSTRUCTION GUIDE THAT OUTLINES WORK TO IN DETAIL Depending on hourly rates and estimates for number of records that will be collected, will negotiate either a fixed price for set number of leads contacts or maximum amount of hours worked. Expectation is about 200-250 companies between the two markets. My hope is that someone might be able to create a script or a bot to collect this information, however this position will also be posted in the admin section.
Skills: Data Science Data Entry Data mining Data scraping
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
I am working for a startup/app company that is trying to assign a dollar value to virtually every apartment in New York City, based on several unique characteristics of our users. What we need is a model that predicts the unique value to YOU (the user) of each apartment, based on factors like where you work (commute time) and the locations of other places that you frequently visit (the address of a girlfriend/boyfriend for example, or perhaps an entertainment venue that you frequently visit). The model’s inputs might include: 1. How much you (the user) value your time. This can be represented in $ per hour. 2. Apartment address 3. Apartment’s advertised monthly rental rate 4. Workplace address 5. Location #3 address 6. Location #4 address 7. ….. 8. Location #n address Also keep in mind, we already have built a program that takes physical addresses and calculates the travel time between them in real-time. So if you had just two locations (home and work), we could calculate the average morning commute time and the average evening commute time from this program. Thus, a simple base case formula might look something like this: V = P – 20*(T1*W + T2*W) – C Where V is the value of this particular apartment to YOU, represented in dollars per month, P is this apartment’s advertised monthly rent (in dollars per month), 20*(T1*W + T2*W) – C represents the value lost from having to commute, as opposed to just living at work, 20 is the number of days per month most people work, T1 is the morning commute time, T2 is the evening commute time, W is your approximate hourly wage (or how much you value your time), and C is the cost of commuting (e.g. a train pass). As you can see however, as soon as Location #3 is added, the model becomes a bit more complex. For this project, I need a skilled and experienced mathematician to design an algorithm around this more complex scenario. Also the outputs have to be realistic. For example, no apartment can have a value that is negative…you just would never rent those! For the scope of the project, let’s keep it focused mainly on commute time for now, since the number of inputs could otherwise be virtually limitless. Also, please definitely provide graphs and charts, if you are capable, to display the output in various scenarios. I am a very visual person, so this would help me understand your solution. The ultimate solution can be in plain English or using a computer program, but must be easily understandable by me and my software team. Please contact me (Darrick) if you are interested in helping out or have any questions. Let’s make history together with a new product that will help serve nearly every renter in New York City! P.S. Also let me know if you see an easy solution right away. For all I know, this could be a common Ops Research problem that I just have not studied yet. EDIT 2-11-2016: Hello everyone! Just to clarify, I am mainly interested in someone to help with the algorithm and/or mathematical formula for this computation. Not the actual programming (we already have programmers to implement it in-house). I also do not currently have a data set to provide. We are still trying to acquire the data. We simply need a way to model the problem I have described above, in the case where there are more than 2 locations. For now we are strictly looking at commute times as the inputs. Obviously an apartment valuation model could include thousands of other variables like floor/story, square footage, year of construction, etc. etc. But we do not want to include those until later on, once we have the commute time part figured out. Thanks! I have been reading your applications and hope to pick someone by this weekend at latest. -Darrick
Skills: Data Science Algorithm Development Communications Information Management
Hourly - Expert ($$$) - Est. Time: More than 6 months, Less than 10 hrs/week - Posted
Our company uses SAP Business Objects to consolidate data from multiple sources. We are looking for an experienced, talented report writer to create existing and new reports within the application. We are looking to create clear, easy-to-understand, reports that utilize graphs and charts. These reports will be primarily used by senior management and sales reps.
Skills: Data Science Data Analytics Financial Reporting report writing
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
Hi, We are looking for somebody who can help with on page seo / optimization. Help determine keywords, etc and ensure all is compliant. Help with google analytics, clarify funnel, strategy and be able to analyze data collected and determine course of action. The site is brand new and we are starting from scratch. Thanks
Skills: Data Science Google Analytics On-Page Optimization Search Engine Optimization (SEO)
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, 30+ hrs/week - Posted
We need someone that can strong experience in writing Python scripts to download data from a few public APIs. After connecting to these APIs, download that data to our own SQL Server database. Strong experience in Python, SQL and some database design experience is needed for this job. Any background in Data Science or Big Data is highly preferred.
Skills: Data Science Big Data Machine learning Python
Fixed-Price - Entry Level ($) - Est. Budget: $25 - Posted
Based on the monthly historical data attached, 1). Find probability to have 24°C and probability to have 28°C. 2). Find parameters of a sinus signal function T(x) = T0 + a*sin(bx+c) with b = 2p/(365*N) and draw the graph. 2.1) Use this graph to find estimated data in years 2011 to 2019. 3). Use a time series model based on the historic data attached, to draw a trend curve and find estimated data in years 2011-2019. 4). Find probability to have 24°C in june, july, october and november per year: 2011 to 2019. Find probability to have 28°C in june, july, october and november per year: 2011 to 2019.
Skills: Data Science Algorithms Big Data Mathematics
Fixed-Price - Expert ($$$) - Est. Budget: $150 - Posted
Hi, I'm looking for someone who has worked on creating Udemy courses before, if you're able to show me some samples of your work it'll be a plus. Basically, I need someone who can produce SalesForce tutorials - Basic administration Salesforce ADM 201 exam. Below are specific requirements: Video must be at least 720HD. Two hours (could be little less 1.5) videos must be in 5-10 minutes lectures. High quality audio, no background noise or anything. A well structured training plan - start with intro, first lecture, 2nd...and so on. Minimum 2 real life examples and case studies. 2-3 course quizes. - Do video presentations through slides and a voiceovers, must have a clear voice that is firm yet friendly. - Write course descriptions and titles to be posted and uploaded on Udemy - Must be fluent in English, and write and do the video presentations in correct grammar. - Must conform to to UDEMY Standards. http://udemy-images.s3.amazonaws.com/fb/email/2015/Instructor/Misc/Udemy_Quality_Checklist_2.pdf Before creating the course you would need to submit course outline to me to approve. If I like your work, we'll continue to do courses with you on a monthly basis. Let us know of any questions or clarifications you may have. Rate is negotiable.
Skills: Data Science CRM Salesforce App Development Salesforce.com
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