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Typical total cost of Upwork Data Science projects based on completed and fixed-price jobs.

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On average, 28 Data Science projects are completed every quarter on Upwork.


Time to Complete Upwork Data Science Jobs

Time needed to complete a Data Science project on Upwork.

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Data Science Upwork freelancers typically receive a client rating of 4.84.

Last updated: September 1, 2015

Popular Data Science Searches

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  1. Saquib K.

    Saquib K.

    Data Science and Machine Learning Consultant

    Canada - Tests: 10 - Portfolio: 4

    I am a Mathematics graduate from the University of Waterloo, with 5 years experience in the data science field. I have successfully completed projects in data acquisition, data scrubbing, data mining, machine learning and data piepelines. I also have significant experience in creating data collection framework for government organizations, and non-IT companies. I am currently designing a dynamic pricing model for my client to add to their repertoire of Revenue Management Practices. I am building the data pipelines as well as creating the Machine Learning Models. I am looking for longer term contracts, where I can add value beyond finishing a small preliminary task. I am new to oDesk but I can provide references from outside the oDesk community. Best of luck in your endeavours!

    $80.00 /hr
    131 hours
  2. Cameron Hamilton

    Cameron Hamilton

    Artificial Intelligence Engineer/Data Scientist

    United States - Portfolio: 3

    I am an artificial intelligence engineer and data scientist specializing in time series prediction and classification. I have constructed predictive models for Georgia Power and the University of Georgia and been published in the proceedings of international conferences in machine learning. I also have expertise in processing brain data (EEG, microelectrode, etc), as well as in stock market forecasting. In short, I can transform your data into a reliable system for gaining insights into your business and research needs. If you have a project in mind, but are not sure how to proceed, please contact me and we will resolve a solution.

    $33.00 /hr
    0 hours
  3. Evan P.

    Evan P.

    Solving Your Business Data Challenges With Python


    Business Intelligence | Data Transformation | Web Scraping | Much more - Proven ability to deliver, on time and on-budget. - Many years of managing remote-working relationships and leveraging technology (e.g. Skype, IM etc.) to make things go smoothly. - Adept at using Python to solve all types of business data challenges. - Native English; exceptional written and verbal communication skills. - Available to work on your project - and communicate - during US business hours. - Full resume / CV available on request. Trust can be a concern on UpWork - check out my LinkedIn profile (and recommendations) here:

    $16.90 /hr
    0 hours
  4. Ondrej Vostal

    Ondrej Vostal

    R, Mathematics, Perl, Linux

    Czech Republic

    I study stochastic analysis on a top university on Prague. Data science is my passion which drives me to excel in everything that concerns it. I was lucky enough to be able to spend six months as an intern in adidas Group HQ on a marketing excellence position where I could learn how things are really done in the industry. I like challenges and always finish my job in time. I always write complete and concise documentation.

    $23.00 /hr
    0 hours
  5. Pavel Logacev

    Pavel Logacev

    Data Science | Statistics | R Programming

    Germany - Tests: 4 - Portfolio: 3

    I have a PhD in Cognitive Science and a MSc in Computational Linguistics, as well as several years of experience in statistical data analysis and software development in R. I have developed software in pure R as well as in C/C++/Rcpp, with a focus on the implementation of machine learning algorithms and statistical techniques. I enjoy understanding all kinds of data, as well as helping others understand it and convert it into actionable intelligence. I am particularly interested in churn analysis and statistical consulting regarding usability studies or A/B testing in advertisement and e-commerce. I have experience in analyzing and reporting on data from sectors as diverse as psychology, education, health, finance, SEO and E-commerce. Most recently, I have analyzed online user behavior for, and created a Bayesian model of conversion and profitability to manage campaigns on Google Adwords. I specialize in churn analysis and survival random forests, but I can help you with anything from simple ANOVAs or linear mixed effects models in lme4 to Bayesian methods in RStan. Take a look at my code on my github profile:

    $45.00 /hr
    507 hours
  6. waldemar kwasniewski

    R Programmer, data science, data mining


    I am an experienced R programmer and data analyst, ready to use my knowledge, practice and interest in data science to find a quick, reliable and clever way to perform any task you have to be done. I can help you to extract actionable knowledge form your data, find dependencies, build predictive models, translate your concepts into formulas, and your ideas into algorithms. My main fields of expertise are: • data mining and cleansing - fluent in extracting useful data using fast and flexible tools; • market analysis, statistical computing - finding patterns in data to gain interesting insight, based on solid statistical knowledge and visualised in an approachable way. I strive for excellence in each aspect of the project, guaranteeing maximum focus on detail, providing a solution tailored to the customer's expectations and top-class communi I am looking for projects in mathematics, machine learning, signal processing

    $22.99 /hr
    0 hours
  7. David Mestre

    David Mestre

    Python, Web Scraping, Data Analysis, Data Science

    Spain - Tests: 10 - Portfolio: 2

    - Data cleaning, data analysis, modeling and simulation techniques using Python - MySQL/MongoDB/Sqlite/Sparql/Postgresql - System administration - Machine Learning - Web scraping/crawling with python - Parsing xml/csv/json - Python libraries: pylab, scipy, pandas, matplotlib, ggplot, seaborn, bokeh, numpy, csv, re, json, urllib, urllib2, socket, httplib, sklearn, BeautifulSoup, selenium, requests, lxml, xml, sys, so, subprocess - IDEs: iPython notebook, Komodo Github:

    $40.00 /hr
    1,041 hours
  8. Andrii O.

    Andrii O.

    Analyst. Project manager. Expert

    Canada - Tests: 1

    Result-oriented professional with 10+ years of experience in IT industry with a proven track record of accomplishments in design, implementation and maintenance of various information systems. Thorough knowledge of the project life cycle and thorough implementation of business processes and systems in utility, telecommunication and banking sectors. Outstanding communication skills and proven ability to liaise with technical and business stakeholders. A quick learner with an ability to easily adapt to advances in technology. Core Competencies: Business Processes & Requirements Analysis Project Management & Quality Control Software Development & Installation Problem Solving & Customer Service & Support Technical Training & Communication Documentation & Data Management Technical Proficiencies &Tools MS Project ▪ MS Visio ▪ MS Excel ▪ MS Office Suite ▪ SharePoint ▪ UML ▪ SQL ▪ JIRA ▪ Confluence ▪ ARIS ▪ Axure ▪ Balsamiq ▪ Redmine ▪ Oracle ▪ Interbase ▪ Java ▪ Six Sigma ▪ Subversion ▪ StarTeam ▪ TestTrack ▪ WordPress ▪ Sparx Enterprise Architect ▪ Linux ▪ Agile ▪ Waterfall Process ▪ Rational Unified Process ▪ Oracle Unified Method ▪ CMMI Process

    $17.00 /hr
    149 hours
  9. Andrey Ogurtsov

    Andrey Ogurtsov

    Biostatistician / R programmer

    Ukraine - Tests: 1

    Biostatistician with 3 years of experience. Favourite programming tools - R and SPSS. Performed works: • definitions of primary and secondary variables; • sample size calculations; • writing statistical analysis plans for phase I-IV and bioequivalence trials; • performing statistical analysis and writing statistical reports; • creating CRF; • data input and verification; • developing correspondent SOPs. STATISTICAL AND MACHINE LEARNING SKILLS: • classical methods of analysis; • general and generalized linear models; • non-linear modeling (splines, GAMs); • tree-based methods (bagging, random forests, boosting); • dimension reduction (PCA); • clustering (hierarchical, K-means); • cross-validation; • bootstrap; • multiple comparisons adjustments. PROGRAMMING SKILLS: • using R functions for wide range of statistical methods; • writing new R functions to implement desired functionality; • data wrangling with basic R functions and packages like reshape2; • data visualization (basic graphs and ggplot2); • automated report generation and reproducible research (knitr with R Markdown or LaTeX); • interactive presentations with shiny, rpanel and googleVis; • SPSS (both GUI and syntax); • SQL (basic knowledge).

    $10.00 /hr
    0 hours