Data Science Jobs

Data science, which should not be mistaken for information science, is a field of study that uses scientific processes, methods, systems, and algorithms to extract insights and knowledge from various forms of data, be it structured or unstructured. It is similar to data mining and is a conception to unify machine learning, data analysis, statistics, and their related methods so as to analyze and understand the actual facts about data. Data science employs theories and techniques taken from many disciplines such as computer science, information science, statistics, and mathematics.

In a nutshell, data science can be said to be a multidisciplinary blend of algorithm development, data inference, and technology in a way to find solution to analytically complex problems. Data science is useful to anyone who wants to be a data miner.

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    27 jobs found, pricing in USD

    We are looking a Data Sciencist Architect who can do below for us. Design Data Warehousing System Develope ETL using python scripts/C# project or any other tool and setup those on server or some other service to run every on a particular time to fetch data from multiple sources and dump it in to DWH. Setup PowerBI with embadded capacity for customer reporting. Person should be expert into SQL development & DWH designing, Python and PowerBI

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    edit my report 6 days left

    1. I need someone to edit and correct the grammar and the instruction for what I write 2. add some information if it needs but the total page does not execute 10 3. some mone have knowledge in data mining or data scientists I need it by tomorrow

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    Answer 2 questions about decision tree and decision science Answer should be similar to the photo

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    Modify labelme opensource software to work with detectron2 machine learning model so that it can help users to label datasets quicker

    $537 (Avg Bid)
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    Data Science Project 6 days left

    I would need some help on running some models on the dataset I have. I have a bigger project and this is a form of assessment.

    $37 / hr (Avg Bid)
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    The project is a news application that contains a large number of news There is a group of classified news And a large group of them is not classified I want a program that categorizes news into specific categories

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    Looking for coding, mathematical modelling experts for writing several manuscripts in the field of industrial safety, accident data analysis, text mining and NLP tasks. You should have good experience in this domain and at least have published 3 journal articles earlier. The targeted journals are high quality like the Q1 category of Elsevier, IEEE journals. You have to come up with ideas, collect data if required, write a complete manuscript, do coding, editing and all tasks related to an academic paper. Please feel free to contact me before committing anything. Share your Google scholar or ORCID profile for a quick review of your profile and quick hiring. The approx budget is 700- 1200 USD based on the idea and journal quality.

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    We are an edtech and provide specialized trainjngs to our corporate clients. One of our clients is looking for training in spark for their data science team. Its a short term training program but we are looking for a longer term relationship with a good resource

    $30 / hr (Avg Bid)
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    I'm doing a research project to design several prediction modelling and compare them to achieve the best; I have numerous methods that I want to apply to conduct my analysis. The analysis required experts aware of using ArcMap/QGIS, Machine learning, and deep learning methods to achieve the project objectives. The Project needs to be done fast and in high quality. So, I need to develop spatiotemporal models that can get implemented for how the effective disease is going to spread over time and space "not classification". it can be done based on the location and the number of affected people each week, month and year. The required models are RNN, CNN, LSTM, TCN (Temporal Convolutional Network), GRU and a combination of this algorithm and cellular automata. in short: Through...

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    BI strategy document 5 days left

    I need a BI strategy document written. Must be to a good standard at an enterprise level. May need a few revisions and will need some time to discuss ideas and concepts. The document needs to cover QA, analytics, reporting, machine learning, data maturity, tooling, data democratisation and monetisation, data science team set up. Must be written in fluent English.

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    We are crating a social media app for which we want a friend suggestion system which will be based on link prediction .

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    More details in chat. 1500 words document.. Harvard style referencing...

    $8 - $20
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    35 bids
    GitHub profile 4 days left

    I want to make a GitHub profile with data science project which will include credit card fraud detection project and fashion detection and COVID 19 prediction I will provide the data set you have to give me the model and build my GitHub profile

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    More details in chat. 2500 words document. academic writing expert required.

    $8 - $20
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    Data analysis -- 2 4 days left

    I have graphs that I got using R and I want someone to analyze them and write a report for me on the graphs.

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    **READ BEFORE YOU BID. YOUR BID PRICE IS FINAL. NO LATER CHANGE IS ALLOWED **SHOW ME SAMPLE OF 50 DATA by SCRAPPING## I need someone who can scrape and download last 10 years Historical Data of US Stock Exchange like Nasdaq and NYSE (New York Stock Exchange). You can take the help of Yahoo Finance or Should contain Fields like Script Name, EPS, Market Cap, Dividend Yield, P/E Ratio, Dividend Per Share, Price/Sales Ratio, Debt/Equity Ratio, Return on Asset, Return on Equity, Gross Margin, Total Asset, Total Liabilities, Net Income, Gross Profit, Operating Income, Total Shareholders Equity, Net Cashflow. You can use Python for this job if you wish or any other languages. I will need the exact script you used for scraping. You may see: Example: FB in Finviz: Apple in Yahoo Fin...

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    **READ BEFORE YOU BID. YOUR BID PRICE IS FINAL. NO LATER CHANGE IS ALLOWED** I need an experienced data scientist/machine learning expert who can help me to develop an algorithm and train the dataset by using machine learning methods so that users can use that algorithm to find out whether a stock is recommended for Buy or Not Buy. User gives some input if required like P/E Ratio, Dividend Yield, Total Asset, Total Liabilities, Net Income, Gross Profit, Total Shares etc. We want to predict whether the stock is Buy or Not Buy. For example: User Inputs Google (GOOG). Is it BUY or NOT BUY? What is the confidence? What are the Greens and Red signls of it? Needed for Indian Stock Exchange & Nasdaq. I need the full co pyright, source code and you need to explaint it to me. A proper documenta...

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    Designing Experiment in Psychopy software. Need to run a python script in psychopy at predetermined time intervals and save data.

    $9 - $34
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    2 bids

    We are a 3.2 bn $ company and launching one of its kind initiative in revenue management We are on a transformational project in the revenue and margin management domain for 9 months. Its is in 2 phases . Phase 1 first go live happens in 6.5 months and thereafter 2 golives in 8 th month. We need PMO office with Project manager with backend support to manage below responsibilities: Project Management in Mumbai Liaison with stake holders & define & document requirements & User Stories for Implementation. Coordination , Followup and Communication Support Integration requirements and liaison with all concerned stake holders Source and deliver resources, information & data needed for implementation Prepare, validate & deliver data needed for implementation. . Facilitate p...

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    We have to make our own Datasets for questions and answers With the help of Bi-DAF, Glove. abvoe link is similar to our project but we have to only make our own dataset instead of SQUAD dataset

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    Nlogo / Netlogo M.Sc. in Information Technology/FinTech/ Big Data/Mathematics and Data Science -- 2

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    Write a python(use latest version) code to implement Binary Neural Networks (Not a binarized Convolutional Neural Network) with Weights and Activations Constrained to +1 or −1. Accuracy should be greater than 90%. Extract the weights in a separate file. For the reference please find the attachment.

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    Experience with Python, PowerBI or Tableu , SQL, Excel and with the Microsoft DP-900 Exam. Ability to present and help guide me through completing challenging but straightforward data analysis projects. Optionally have experiencing applying these skills on to financial models such as NPV. I have a foundational understanding of python and would be using an IPad with a keyboard(suggestions for best apps to use highly appreciated). 3/4 Video sessions per week with hopefully a project completed per week.

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    Use whatever technology you feel comfortable with to: 1. collect the # of minutes each person in the zoom meeting spent talking (use the attentiveness score) 2. collect the # of minutes each person was actually in the zoom app (attention tracking) 3. Create some UI that shows a table where each entry holds: * participant email * # minutes spent talking * # minutes spent paying attention Feel free to actually push your work to their marketplace. Once I'm able to test your plugin via Zoom, then I'll reward the money in return for the code base a bit more info:

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    4 entries

    IMPORTANT: PLEASE READ THE FULL CHALLENGE BRIEF THAT CONTAINS ALL THE CHALLENGE AND SUBMISSION REQUIREMENTS AND RULES CHALLENGE BRIEF: REGISTRATION FORM: FAQ: WEBINAR RECORDING: Predict project risks using NASA’s lessons from the past. Design a project management tool that extracts past project risk information and uses AI/ML to predict risks on future projects. RISKY SPACE BUSINESS: NASA AI RISK PREDICTION CHALLENGE If you’re an AI/ML specialist or someone who is great at extracting data from past project reports, this challenge is for you! The Risky Space Business Challenge is looking for White Papers and algorithms to help NASA predict risks on future projects. If you’re up to the challenge, you could win a share of the $50,000 purse. To participat...

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    Actualmente se tiene un notebook con los datos del Covid-19, la limpieza de los datos y un graficador dinámico que ajusta los valores de beta y gamma (las tasas de infección y recuperación), a partir de una técnica de promedio semanal, con el fin de que las tasas se ajusten con el tiempo. Lo que se requiere es que, en un notebook nuevo, se aplique un modelo Online de redes neuronales para calcular el error del dato del día anterior, corregir el modelo y volver. Es decir, aplicar el esquema de redes neuronales para poder computar los coeficientes de ese modelo para ajustarlo y así disminuir el error para cada día de predicción.

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    Bonjour à tous, J'aurais besoin d'aide pour un TP d'études sur l'apprentissage par renforcement (reinforcement learning) dans le domaine de la data science. Un exercice sur la prédiction et un autre sur le contrôle, cela ne devrait pas être compliqué pour les personnes du domaine. Je vous laisse me dire si vous êtes en mesure d'effectuer cela à priori, je vous montrerai l'étude par la suite.

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