Data Science Jobs

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Fixed-Price - Intermediate ($$) - Est. Budget: $5 - Posted
I need to do a data analysis of percentage of Latino names on my database. The end result needs to be a sort of names that are of Latin/Mexican descent for marketing purposes.
Skills: Data Science Microsoft Excel
Fixed-Price - Expert ($$$) - Est. Budget: $1,000 - Posted
Looking for a Data Scientist to complete the below job: A health researcher is interested in knowing whether a novel diet can help women lose weight. She conducts a randomized clinical trial over a period of 6 months to test whether the diet works. Five hundred women are randomized to receive the new diet (treatment) and five hundred are randomized to continue with their own diet (control). Weight in pounds is recorded at baseline (visit number 1) and at the beginning of every subsequent month for the next 5 months. The investigator wants to know whether the new diet will affect one’s weight over time differently for those on the new diet versus those not receiving the new diet. There are two data sets describing the results. They are included as comma-delimited files. The first, dataset1.csv, contains three variables: theid (the patient’s unique identifier), treatment (an indicator for whether the patient received the new diet (1) or not (0)), and age (the patient’s age in years at study entry). The second data set, dataset2.csv, contains three variables: id (the patient’s unique identifier), outcome (the patient’s weight in pounds recorded at a particular visit), and visitnumber (the visit number). 1) Create an analytic data set by appropriately merging the two files, and provide code for how you arrived at your analytic data set. 2) Fit a model that assesses whether treatment has an impact on weight and in particular, that allows the treatment effect to vary over time. For simplicity, it is reasonable to assume that weight behaves linearly over time within each treatment group. As there are multiple measurements per patient, a model that accounts for correlation of responses within an individual may be important. 3) Write out and describe the model that you fit (that is, explain what type of model you chose and write out the terms symbolically). 4) Interpret the results of the model fit to the investigator. Please assume the investigator has no statistical knowledge and effectively communicate the results to the investigator. Please send samples of previous work as data scientist.Looking to hire someone for multiple projects.
Skills: Data Science R
Hourly - Intermediate ($$) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
I am looking for an experienced data science and analytics expert to complete a project where 65 college athletic websites are scraped for roster data for the past 10 years. I would like the dataset in a SQL or Access File. I need names, and home towns and universities for all individuals from these schools who have competed in college sports from 2006-2016. BCS Conference Schools ACC Boston College Clemson Duke Florida State Georgia Tech Maryland Miami (FL) North Carolina North Carolina State Virginia Virginia Tech Wake Forest Big 12 Baylor Colorado Iowa State Kansas Kansas State Missouri Nebraska Oklahoma Oklahoma State Texas Texas A&M Texas Tech Big East Cincinnati Connecticut Louisville Pittsburgh Rutgers South Florida Syracuse West Virginia Big Ten Illinois Indiana Iowa Michigan Michigan State Minnesota Northwestern Ohio State Penn State Purdue Wisconsin Pac 10 Arizona Arizona State California Oregon Oregon State Stanford UCLA USC Washington Washington State SEC Alabama Arkansas Auburn Florida Georgia Kentucky LSU Mississippi Mississippi State South Carolina Tennessee Vanderbilt
Skills: Data Science Data scraping
Hourly - Intermediate ($$) - Est. Time: 3 to 6 months, 10-30 hrs/week - Posted
Creation of the minimal viable platform (MVP): • Onboarding and aggregating of data feeds/services onto a baseline platform. • Developing a basic sentiment model to normalize information to. • Platform Development – developing proprietary capabilities and our own sentiment engine • (dubbed the “sentiment of sentiments”) • Service Oriented Design and Implementation- begin integration of client systems into our platform • Create, plan, and develop services tailored to meet client-specific demands Setting up an initial technological infrastructure • Deploying basic cloud services • Building test and development (R&D) environments and customer sandboxes Making a change in the financial world • Everyone working on Project Sentient is not only a member of a team, but is fully dedicated to the cause. We believe in a more agile form of application development, one where ideas are shared naturally. Your thoughts and actions have a direct impact to the success of the project. • We have an opportunity to be the definitive source for sentiment-based strategies globally, and improve the financial livelihood for billions of individuals, their advisors and other stewards of assets. • By solidifying the integrity of our platform and building long-lasting relationships with investment institutions so that we are on the forefront of the development of new strategies and investment products based on our sentiment-driven data. These will include but aren’t limited to synthetic funds, socially aware robo-advisors, and/or sentiment-driven A.I. powered modeling tools for predictive market outlooks. We have specifications available for applicants upon request. For more information on the team and the project, feel free to check out our Business Plan and Explainer Videos
Skills: Data Science API Development API Documentation Data Analytics
Fixed-Price - Intermediate ($$) - Est. Budget: $50 - Posted
I am looking for an experience data analysis professional to compile a report around short term + furnished rental real estate data in the New York City area. Things included in the report should be, price, availability, etc as compared to purchase, hotels. airbnb, etc. Sources and guidance provided. Potential for on-going engagement. Look forward to getting started!
Skills: Data Science Data Analytics Data mining Data Modeling
Hourly - Expert ($$$) - Est. Time: Less than 1 week, 10-30 hrs/week - Posted
Google Analytics Conversions have not been set up correctly. I'm looking for someone to: 1. Extract any meaningful analysis and provide recommendations out of what HAS been set up from the conversions process 2. Assess all Analytics over past 18 months to provide suite of marketing channel CPC / key metrics around user behaviour, acquisition mechanisms, CPA etc 3. Set up Conversions/Ecommerce Goals correctly, with appropriate tags, so that an accurate view of the checkout process (where people abandon cart) is in place This conversions work will need to be tied in to the Facebook Marketing campaigns underway at present.
Skills: Data Science Data Analytics Google Analytics Google Tag Manager
Hourly - Expert ($$$) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted
The goal of the project is to detect person and vehicles in a video stream. Implement a object detection routing that can detect person and vehicles in video stream data with atleast 10 fps. The data is feed from a surveillance camera installed in our warehouse and this project would help in identifying unauthorized access during the night time. The training data will be provided by us with the relevant objects annotated at each frame. The output of the code developed should be bounding boxes of the relevant objects annotated at each frame of the video.
Skills: Data Science Artificial Intelligence Deep Learning Deep Neural Networks
Fixed-Price - Intermediate ($$) - Est. Budget: $100 - Posted
Our Company is a Data Science company which provides Analytics to its clients/stakeholder. We conduct Trainings, Seminars, Workshop related to Statistics. We provide skills and comptencies among clients and one way to do this is to conduct the events. We also offer outsourcing, we are often to received jobs and outsourcing task. We also do one-on-one tutorial/consulting relative to statistics and writing research, thesis or dissertation. We're looking of a Marketing professional to get leads for us. Or a Business Development Officer who can market and discuss our services to prospect clients. Thanks,
Skills: Data Science internet surveys Interviewing Lead generation
Fixed-Price - Intermediate ($$) - Est. Budget: $500 - Posted
Hi! I'm looking for someone familiar with Python, Django, Celery, Big Data, Postgres. We are currently working on a SaaS product and need to improve and enhance a given code. You'll be dealing with a SaaS product (not in production nor set up on a live server yet) that is for the purpose of lead generation. Company and contact information shall be automatically obtained by the system and give the user the possibility to find prospective customers. The following things need to be done and integrated in the existing code: - check and debug celery worker / tasks for working properly again (maybe seperate different tasks to different workers; check why saving problems occur) - improve code and make it more efficient and faster - replace GoogleScraper & Proxy with Bing API (if possible just adding Bing API would be favorite - so that I just need to select in Django admin view which way to go for obtaining data (seperated between person or company data) - a) scraper or b) API - every API request need to be downloaded in our own DB and each result needs to be stored there - if multiple addresses have been found for a company, the one with highest identity factor should be choosen and shown as main address - complete sites and all related subpages from websites should be downloaded and stored in DB (corporate website e.g. 1)Home 2) About Us 3) News 4) Team 5) Customers 6) Products 6a) Product A 6b) Product B ... etc ... - subsquently all the important text (about us/home/product texts) shall be extracted and saved in the main database, directly associated with the company.
Skills: Data Science Data mining Data scraping Django