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Data Science Jobs

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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.
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 ($$$) - Est. Budget: $5 - Posted
I have a webserver and SQL server all running on the same machine. The server runs 4 active websites. 1 of which is very high traffic. The server was rebuilt a few months ago and started working very fast. Now that volume has picked up and processed were added and its slowly starting to hang very frequently. I need to find the source of these problems. I need someone to learn my systems and understand what is happening and give me a solution. I am a programmer but I am not SQL Expert.
Skills: Data Science SQL
Fixed-Price - Expert ($$$) - 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
Hourly - Intermediate ($$) - Est. Time: 1 to 3 months, 10-30 hrs/week - Posted
This job is focused on advancement of the experience that thousands of users get navigating, browsing, searching and comparing the content offered through our proprietary technology platform. The end-result (output of the ontology model) will be a set of intuitive and comprehensive multi-level navigation structures (hierarchical taxonomies, facets) for browsing, searching and tagging the content offered to our clients. The end-task is envisioned to be primarily achieved with the usage of Semantic Web concepts and data (LOD and other available SKOS) as per Semantic Web standards. The task most likely will require knowledge/learning of several RDF-based schemas (Resume RDF, HRM Ontology, HR-XML, FOAF, SCIOC, Schema.org) and usage of the W3C’s Semantic Web technology stack components (SPARQL, Protege, Semantic resoners). Key tasks: - Definition of RDF Schema and ontologies based on several existing RDF Schemas (Resume RDF, HRM Ontology, HR-XML, FOAF, SCIOC, Schema.org, etc.) - linking available LOD and SKOS data sets, building several core multi-level hierarchical taxonomies (magnitude of tens of thousands of elements) comprehensively describing the content in our system - Rule-based processing and linking of multiple existing, as well as obtained sets of data using semantic reasoners - Definition, structuring and optimization of hierarchical data sets, definition and maintenance of hierarchical relationships of particular terms (facets) - Research (independent, as well as guided by management team) on publicly available SKOS and LOD sets related to the content of the platform from public (international standards, patent databases, public and government databases, various organizational, available XML datasets, etc.), as well as acquired proprietary sources - Retrieval and ETL of multiple additional data sets from multiple sources - Tagging, Classification, entity extraction - Working with management team to maintain and advance particular segments of defined taxonomies Optional Stretch-Tasks (Depending on Candidate's Qualifications): - Automatic analysis of content, extraction of semantic relationships - Auto-tagging, auto-indexing - Integration and usage of selected IBM Watson services for content analysis - Integration with Enterprise Taxonomy Management platforms (Mondeca, Smartlogic, PoolParty, or others) This job will initially require commitment of 15-20 hours per week over 3-6 months engagement. Interaction with a responsible manager will be required at least twice a week over Skype and Google Hangouts. Longer-term cooperation is possible based on the results of the initial engagement. Required Experience: - Detailed knowledge of Semantic Web concepts and techniques - Intimate familiarity with W3C’s Semantic Web technology stack (RDF, SPARQL, etc.) - Hands-on experience with LOD (DB Pedia and others) and various SKOS - Experience of modeling data based on various RDF schemas (Resume RDF, HRM Ontology, HR-XML, FOAF, SCIOC, ISO 25964, etc.) - Knowledge of common open-source ontology environments and tools (Mediawiki, Protege, etc.) or other enterprise-grade ontology tools (Synaptica, DataHarmony, PoolParty, Mondeca, Top Braid, etc.) - Experience of work with semantic reasoners - Prior experience of content management and maintenance of taxonomies for consumer or e-commerce applications Additional Preferred Experience: - Background in Library and Information Science (MLIS), Knowledge Management, Information Management, Linguistics or Cognitive Sciences - Familiarity with common classification systems - Experience working with catalog and classification systems and creation of thesauri - Auto-tagging, auto-classification, entity extraction
Skills: Data Science Web Crawling Data Analytics Data Entry
Fixed-Price - Entry Level ($) - Est. Budget: $50 - Posted
Build in GoLang a server application that proxies to a HTTPS website, confirming that the certificate is correct, than extract a webform from that website and displays it to a client within a webpage template. (A temporary template should be provided by you.) The form, uses Ajax to update the forms fields with data while the user is filling in the form, this asynchronous functionality shall remain and bypass the proxy communicating directly with the source HTTPS website. The server shall manage multiple sessions when connecting to the source site. A captcha is provided from the source site for each session. You shall program this server to allow multiple sessions all with their own captcha. Upon the user submitting the form, the server shall submit the contents to the HTTPS site, and wait for a response. If success details from the returned data shall be recorded to a json file on the server. On success or fail the feed back from the form shall be displayed to the user. Comment the code.
Skills: Data Science Golang Multithreaded Programming
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