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Rating is 4.8 out of 5.
4.8/5
based on 6,962 client reviews
  • $78 hourly

    • 4.8/5
    • (55 jobs)
    I am an experienced data scientist who has worked in Bioinformatics and Business analytics. I build automated trading strategies in my spare time. I've been programming in R daily for over 10 years and that's where I do most of my data analysis. I have a lot of experience with machine learning and data visualizations, mainly in R and Shiny. Working in a diverse set of fields has given me experience with many different types of data and obtaining it from many different sources. Thereby making me an excellent data miner, and knowing how to transform that data efficiently.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Data Analysis
    R Shiny
    API
    Forex Trading
    Statistics
    Analytics
    Bioinformatics
    Quantitative Analysis
    Data Scraping
    Plotly
    Machine Learning
    Data Visualization
    R
  • $30 hourly

    • 4.9/5
    • (34 jobs)
    I'm a data scientist with 5+ years of hands-on experience in machine learning and a strong math background (MSc. in Applied Mathematics). I can help you to build the whole ML pipeline from scratch or improve your solutions. Dealing with various tasks, such as NLP, Time Series Analysis, Computer Vision, GANs, developing bots for Stocks or/and Crypto markets, deploying APIs for ML models, etc. Skills: - Languages: Python - Frameworks: PyTorch, TensorFlow, Keras, Flask - Libraries: LangChain, NumPy, Pandas, Scikit-Learn, Matplotlib, Plotly, SciPy, NLTK, LightGBM, XGBoost - DB: MySQL, PostgreSQL, MongoDB - Version control: GIT - Other: Docker, Google Cloud, LLM, ChatGPT, LLaMA
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Data Scraping
    Web Crawling
    ChatGPT
    Neural Network
    SQL
    Statistics
    Machine Learning
    NLTK
    Python Scikit-Learn
    Deep Learning
    Data Science Consultation
    Python
    TensorFlow
    Natural Language Processing
    Keras
  • $60 hourly

    • 4.9/5
    • (117 jobs)
    I am a data scientist with 10 years of experience. I hold a BSc in Economics and a MSc in Data Mining both from the University of Buenos Aires. Upwork Badges: Expert-Vetted and Top-Rated Plus - Top 1% in the platform Below are some of the common task I'm consulted with: - SFT esperience with LLMs such as Mistral 7b, Mixtral MoE, Llama2 models, T5, - Prompt engineering with openai models (GPT-3.5, GPT-4) and open source models (Mixtral ). - Deep learning for NLP - Exploratory data analysis, Statistics, Data Visualization - Machine learning for Marketing use cases - Time series forecasting - Quantitative Finance - Machine learning for finance/trading - Applied Statistics Programming Languages - 10 years of experience - Python: keras, tensorflow, pytorch, huggingface, numpy, scikit-learn, pandas, opencv, spacy, openai, langchain, transformers, sentence-transformers - SQL - R New clients often hire me for one project that helps them get to know how I work, this is normally the start of a long term work relation. Expect integrity, fluid communication in English, technical proficiency and long term support.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    ggplot2
    Data Analytics
    A/B Testing
    Exploratory Data Analysis
    Data Analysis
    Statistics
    Predictive Analytics
    Python
    R
    pandas
    Bayesian Statistics
    Data Science Consultation
    Deep Learning
    Machine Learning
  • $45 hourly

    • 5.0/5
    • (16 jobs)
    An experienced data scientist with a broad knowledge in Computer Science. Higher Education: Bachelor of Embedded system Engineering (2019-2022) +2 years of professional work in Machine Learning and Deep Learning, Data processing/cleaning, deploying ml models to cloud (AWS, Digital Oceans), Creating Recommendation Systems and using state-of-the-art models for Deep learning tasks. Creating an artificial customer agent chatbot using Bert and RASA. Programming Languages & Frameworks Tensorflow, Python, R, Django, Flask, Dart, Flutter, SQL, MQL, C, C++ Data Science, Machine Learning & Mathematics Probability, Caculus 1/2, Advanced Machine Learning, Deep Learning Statistical Analysis, Sentiment Analysis, Data visualization, Data Analysis. Data Bases Management & Big Data SQL Server, MySQL, PostgreSQL, MongoDB, Elastic Search, Google Big Query, Firebase, Tableau, Hadoop Experience also includes various areas of backend web development, Rest APIs and logical/critical thinking for competitive programming problems.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    BigQuery
    Data Analysis
    RESTful API
    MongoDB
    Django
    SQL
    Flask
    Deep Learning
    Machine Learning
    Keras
    Natural Language Processing
    Python
    TensorFlow
    Computer Vision
  • $78 hourly

    • 5.0/5
    • (55 jobs)
    Hello, I am Abdessalem, an AI engineer with particular focus on scraping and NLP. I have been working in the NLP field since 2019, and I have experience with different types of projects and technologies: - Fine-tuning open source LLMs - Training deep learning models - Prompt engineering - Building apps using proprietary LLMs as well open source ones - Deploying different types of deep learning models - Implementing research papers - OCR - Data ETL (parsing PDFs and raw data) - Retrieval augmented generation (RAG) - Classification models - Named entity recognition - Neural machine translation - Arabic, English and French NLP (since I speak all of these language) - Large scale training and inference - .. If you have an idea that is not yet clear in your head and you want to discuss, I would be happy to jump on a call with you, and discuss it as a free consultation. If you have a clear project in mind, and you need clear execution, I am also your guy.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Chatbot Development
    Google Cloud Platform
    Scripting
    Computational Linguistics
    Data Analysis
    Data Mining
    Data Scraping
    BERT
    Deep Learning
    pandas
    Python
    Natural Language Generation
    Natural Language Processing
    Machine Learning
  • $138 hourly

    • 5.0/5
    • (98 jobs)
    Cornell/MIT educated data scientist with financial modeling and digital analytics experience at Fortune 500 companies. • Academic experience as TA/RA at MIT and Cornell University. • Advanced R, Python, SPSS, SAS, Tableau, SQL, MPlus. Some of the projects I have done are: • Time series analysis, financial forecasting and other econometric methods • ANOVA, MANOVA, GLM, SEM in social sciences • Biostatistics and medical research including analysis of clinical trials • Regression modeling • Machine learning and various statistical models in big data • Valuation, investment analysis and financial modeling in the investment banking industry • Risk modeling • Computer vision • Digital analytics such as campaign analysis for display (Facebook Ads, Google Ad Manager, etc.), customer insights (Facebook Insights), lead tracking (CallRail), SEM/PPC (Google Ads), and web traffic (Google Analytics) analysis
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Regression Testing
    Statistics
    Product Analytics
    Google Ads
    Data Analysis
    Biostatistics
    Marketing Analytics
    Econometrics
    Neural Network
    Time Series Analysis
    Tableau
    Python
    R
    SAS
  • $20 hourly

    • 5.0/5
    • (9 jobs)
    A seasoned data scientist with six years of extensive experience in leveraging data-driven insights to solve complex business problems. Proficient in Python, SQL, R, and PySpark, and well-versed in Azure MLOps, Azure DevOps, and Azure ML platforms. Demonstrated expertise in the development and implementation of time series forecasting models, image processing using OpenCV, natural language processing (NLP) techniques, operations research, and linear optimization techniques. Throughout my career, I have successfully applied advanced analytics to drive decision-making across various industries, including stock trading. I possess experience in developing and executing trading strategies that maximize profitability and minimize risk, thanks to my strong background in operations research and linear optimization. By leveraging my diverse skillset, I have consistently delivered impactful and innovative solutions that align with business goals and facilitate data-informed decision-making. As an effective communicator, I excel in collaborating with cross-functional teams, translating complex technical concepts into actionable insights, and presenting results to stakeholders. My dedication to continuous learning and improvement, along with my passion for harnessing the power of data, make me a valuable asset to any organisation seeking a skilled and experienced data scientist.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Quantitative Finance
    Data Analysis
    Microsoft Excel
    Statistical Analysis
    SQL
    Tableau
    Machine Learning
    Mathematics
    pandas
    Scala
    Python
    MATLAB
    R
  • $20 hourly

    • 5.0/5
    • (9 jobs)
    I'm a data scientist and a Python developer with several years of working experience. I specialize in general machine learning, reliable prediction, data fusion, and statistical analysis. Currently, I research multi-output conformal regression with applications in the mobility industry. My portfolio: mateuszwiza.github.io
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Project Management
    Data Analysis
    API
    Dashboard
    JavaScript
    Flask
    Machine Learning
    Deep Learning
    MATLAB
    Python
    R
    Microsoft Excel
  • $70 hourly

    • 5.0/5
    • (4 jobs)
    I am an expert consultant in considering the need of companies and how machine learning can help them develop the needs into reality. I have 2 MSc with a specialization in artificial intelligence and I worked as a researcher for the University of Salerno. My role is to understand the needs of a company and understand if and how artificial intelligence can help it in creating value. My services are mainly structured, but not limited to the following funnel: -Preliminary phase to understand how a machine learning algorithm can help my client -Intermediate phase in which through different supports it is highlighted how and why an algorithm can be useful -Phase in which the algorithm is tested through a proof of concept -The final phase is in which with the help of the team of developers the algorithm is structured and sized to go into production. Currently, the projects I have worked on most are in the following areas, for which I have particular experience: Natural Language Processing (NLP) and text analysis, web scraping, data mining, Computer vision, and computer vision on biomedical data. * I encourage clients to have me sign an NDA whenever they think it can be good for them.*
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Predictive Analytics
    Artificial Intelligence
    Data Analysis
    Artificial Neural Network
    Deep Learning
    Natural Language Processing
    Keras
    TensorFlow
    Computer Vision
    Data Science Consultation
    Machine Learning
    Python
    Recommendation System
  • $150 hourly

    • 5.0/5
    • (12 jobs)
    For 10+ years I've been immersed in entrepreneurial software development and data science, creating business intelligence tools and predictive analytics models. I have extensive machine learning experience across industries and use-cases, including but not limited to, asset valuation modeling, asset risk modeling, computer vision, natural language processing (autoregressive LLM's), time series forecasting, recommendation systems, and others. In addition, I have a strong working knowledge of blockchain & DLT, and specifically DeFi. Over the years I have founded or been among the core team on numerous startups, contributed to open-source software, and led a multitude of projects both small and large. As a data science professional, I strive to bring creativity and thought leadership to teams while designing and deploying modern, state-of-the-art systems using industry best practices. I'm always curious to learn about new opportunities, feel free to contact me.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Blockchain
    Mathematical Modeling
    Predictive Analytics
    Deep Neural Network
    Machine Learning
    Machine Learning Model
    Data Science Consultation
    Recommendation System
    TensorFlow
    Python
    Deep Learning
  • $80 hourly

    • 5.0/5
    • (7 jobs)
    I am a seasoned data science professional with over 10 years of experience. At my full-time job as a senior data scientist for a large cruise company, my passion is leveraging both fundamental and advanced analytics to provide bespoke business and revenue solutions across the organization. Previously, I worked as a senior data analyst for a multi-billion dollar quasi-governmental company working to help fund affordable high-speed internet across the United States. My experience in data science and analytics is full-stack. What that means is you can rely on me from A-Z: processing your raw, messy data (ETL), finding significant insights in your data (EDA) and then uncovering subtle patterns via advanced statistics and algorithms (machine learning), and finally putting everything together with powerful visualizations in a compelling report. In addition, I am more than happy to help with any programming/scripting, database, and reporting automation projects. I am very comfortable programming in Python, R, and SQL. I also am an expert in visualizing and manipulating data with Tableau (including Tableau Prep). I earned my master's degree and Ph.D. in materials science and engineering from the University of Virginia where I specialized in computer modeling and simulation of nanoscale materials. Before that, I graduated from the University of Richmond with a double major in Physics and Chemistry.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Statistics
    Data Visualization
    Data Analysis
    Quantitative Research
    SQL
    Tableau
    Machine Learning
    Python
    R
  • $75 hourly

    • 5.0/5
    • (36 jobs)
    Please also see my blog: jiddualexander.com I'm a data scientist / analyst and an expert R programmer. I am strong with ggplot (ggplot2 data visualisation) and I am also a Shiny App developer. I can create custom dashboards for your data with intelligent analytics and interactive graphics. I program in R 6 days a week and I am very confident with all aspects of a data analysis project. I use mostly the very powerful packages created by Hadley Wickham (data import, cleaning and tidying (tidyr), manipulation (dplyr), visualisation (ggplot2) and reporting (Shiny)). The list of online certificates (below) is a good indication of the focus of my skills. To understand the power of these tools for creating dashboards I suggest you take a look at RStudio's Shiny gallery (shiny.rstudio.com/gallery/). I have participated in the Master R Developer Workshop by RStudio, thaught by no other than Hadley Wickham himself. My expert knowledge in R extends to high quality functional programming, package building, meta-programming and more. I have a Master Degree in Theoretical Physics from Sussex University (UK) and very strong understanding of analytics and machine learning, including neural networks (which I studied at Uni), support Vector machines, RandomForest, Principal Component Analysis (PCA) and much more. Including the tools to train machine learning models I also have a fundamental understanding and set of tools to apply the correct models for specific situations.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Data Modeling
    Data Cleaning
    Data Visualization
    ggplot2
    Data Analysis
    Artificial Neural Network
    Machine Learning
    R
  • $100 hourly

    • 5.0/5
    • (178 jobs)
    I am experienced in numerous types of data analysis and fluent in R, Python, Tableau, Gephi, Excel VBA and Matlab programming. I am very responsive, an excellent communicator and collaborator. My specialties include: Data Visualization, Exploratory Analysis, Business Analytics, E-Commerce Analysis, Social Network Analysis, Survey Analysis, Text & Sentiment Analysis (NLP) and Machine Learning (Neural Networks Specifically). My professional background beyond data science is in R&D where I hold degrees in Chemistry and Chemical Engineering and a Masters in Applied Statistics. Data analysis is my passion and what I am truly good at and I am looking forward to helping with any problem that comes my way. I have specific experience with Mathematical Statistics, Probability, Regression Models, Generalized Regression Models, Mixed Models, Experimental Design, Organizational Statistics, Computational and Graphical Methods, Time Series, Nonparametric Methods, Statistical Learning and Data Mining, Survey Statistics, Computational and Simulation Methods, Quantitative Reasoning, Bayesian Statistics, Multivariate Analysis, and Statistical Consulting.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Data Mining
    Statistics
    Market Analysis
    Quantitative Analysis
    Visualization
    SurveyMonkey
    Data Analysis
    Online Market Research
    Data Modeling
    Data Visualization
    R
    Tableau
    Presentations
  • $70 hourly

    • 5.0/5
    • (65 jobs)
    Solving real-world problems using NLP, Transformers, and GPT-3. 7+ years of experience in (Machine Learning, NLP, Big Data, API, and Back-End Development). Built end-to-end machine learning systems using Natural Language Processing and MLOps. ✅ Successfully Completed Projects: 1. Text Classification, Document Classification 2. Sentiment Analysis, Aspect Based Sentiment Analysis 3. Custom Named Entity Recognition 4. Question Answering System 5. Topic Modeling 6. Extract product specifications from product descriptions using GPT-3 7. GPT-3 for intent detection. 8. GPT-3 for writing personalized emails. 9. GPT-3 Prompt design, GPT-3 prompt engineering, Fine-tuning GPT-3 Skills: Languages: Python, JavaScript, SQL. ML Libraries: Pandas, Scikit learn, Spacy, Gensim, Pytorch, Transformers, Rasa, Haystack. Other: AWS, Flask, FastAPI, GPT-3,Openai
    vsuc_fltilesrefresh_TrophyIcon Data Science
    API Integration
    RESTful API
    Amazon Web Services
    Data Analysis
    Deep Neural Network
    Flask
    Classification
    PyTorch
    Machine Learning
    Natural Language Processing
    Deep Learning
    Machine Learning Model
    Python
    pandas
  • $50 hourly

    • 5.0/5
    • (12 jobs)
    Skills - AI & Data Science - Machine learning, Deep Learning - Computer Vision, Natural Language Processing Education - Tsinghua University: Msc. in Advanced Computing
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Data Scraping
    Machine Learning
    Python Scikit-Learn
    Keras
    NLTK
    Natural Language Processing
    TensorFlow
    OpenCV
    PyTorch
    Deep Learning
    Python
    Computer Vision
  • $35 hourly

    • 5.0/5
    • (10 jobs)
    I am a computer vision engineer with a focus on artificial intelligence and with strong knowledge of machine learning frameworks and tools such as Pytorch and TensorFlow. My key expertise includes: 1. Computer Vision 2. Machine Learning 3. Artificial Intelligence 4. Data Science I have extensive knowledge of YOLO, Mask RCNN, CNN, and have built several projects using these algorithms, I specialize in counting small objects for scientific purposes, such as tracking the movement of microbes and sperm trajectories. Additionally, I am currently working on the GAN architecture for image super-resolution, and I have already published a paper on the same. Feel free to contact me. I look forward to helping you finish your projects.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Mobile App Development
    PyTorch
    Machine Learning
    Firebase
    Python
    Java
    Kotlin
    Keras
    Machine Learning Model
    TensorFlow
    Computer Vision
    Android
  • $150 hourly

    • 5.0/5
    • (41 jobs)
    I am a full-stack data scientist and data engineer with a track record of over 2500 hours on Upwork, and I've accumulated countless more offline. My experience spans a wide range of technology stacks within the data science and data engineering domains. From developing machine learning models to optimizing data pipelines, I bring a wealth of expertise to the table. Front end: ui/ux, django, flask, streamlit Back end: micro service, rest api, database performance optimization CI/CD: jenkins, gitlab, Kubernetes, Docker Security: secure file transferring and oAuth etc Web scraping: Scrapy, Rotation Proxy, Selenium, Beautifulsoup Cloud: AWS, GCP, Azure Dashboarding: Tableau, PowerBI, Plotly, Dash Data Science: Python, R, SQL, NLP/NLG, AIGC, GPT-3, ChatGPT, HuggingFace, ML Predictive Modeling, Reinforcement Learning, Knowledge Graph Neo4j, Recommendation Engine, Deep Learning, Computer Vision, OCR, GAN, DeepFake, Stable Diffusion, Signal Processing, Voice Clone, Chatbot, Sports betting, Price Optimization, Time Series Analysis/Forecasting, Crypto, Solidity, Tokenomics, Research: Published around 100 papers on conferences and in peer-reviewed journals. --- Besides my Ph.D., I obtained several certificates from world-renowned institutions in data science, helping me form sound hypotheses and clear conclusions combined with a concise visualization. In addition, I have hands-on experience on many real-world data science projects for clients from all over the world in different industries. I have worked as a consultant for many start-ups on various projects and I have solid background on both research and development. --- Some of the feedback clients provided to me: ⭐⭐⭐⭐⭐ "Very efficient and timely with his work, Stijn put together a very comprehensive analysis of the data and charted it in a very orderly fashion. Obviously very good with more sophisticated stats and working with raw data, and great to work with." ⭐⭐⭐⭐⭐ "Stijn was very professional and extremely skilled. He went much beyond the instructions that were laid out and provided outstanding work. A real pleasure to work with. I honestly can't recommend him enough!" ⭐⭐⭐⭐⭐ Stijn worked on this project for 2 to 3 weeks, he is not only a highly skilled professional, but he is also someone that will make you smarter along the way. ⭐⭐⭐⭐⭐ Most freelancers I tried to work with for this project told me it was impossible to accomplish, it goes to show that Stijn was simply on a higher level. ⭐⭐⭐⭐⭐ "Stijn was super knowledgeable, he is a true professional. For this project he took the time to meet and brainstorm, see what the needs were and how we could go around some of the issue we may encounter. The final product is even better that what I could ask for, I also became a lot more educated and am looking forward to keep on working with Stijn! I have never met someone as skilled and knowledgable about the subject as Stijn."
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Business Analysis
    Data Mining
    Data Visualization
    Quantitative Analysis
    Data Analysis
    Statistics
    Data Scraping
    Statistical Analysis
    Data Extraction
    Tableau
    Machine Learning Model
    Machine Learning
    Python
    R
  • $200 hourly

    • 4.9/5
    • (30 jobs)
    🥇 Hand picked by Upwork as "Expert-Vetted". This highlights talent that has passed a thorough pre-screening process by experts in their field. These elite freelancers and agencies have been evaluated by our Talent Managers for their expertise and excellent soft skills. They represent the Top 1% of talent on Upwork. 🏆 Experienced Data Scientist & Machine Learning Engineer from #1 enterprise software company in the world 🤖 Extensive work with industrial, R&D and start-up scale projects focusing on Data Science, Machine Learning Engineering and Full Stack Development such as: 🏢 SAP ➝ #1 enterprise software company in the world. Clients include Greggs, NHS, MindTree, GSK, LSEG and many more... 😇 Halo ➝ R&D focused on real human impact with emerging technology. 🆙 Upwork ➝ I've built great relationships with all my clients and pride myself on a 5 ⭐ rating and 100% success rate! My clients range from global corporations to personal projects & startups. My core skillset lies in the delivery of end-to-end Data Science. Everything from a deep discovery phase, the exploratory data analysis, to the engineering of Machine Learning algorithms and finally the communication & integration of Artificial Intelligence into business processes and systems, I can help you with. I also have expertise in all aspects of the technology stack including server configuration, database creation, backend development, frontend web development and API design 🧑🏽‍💻 I’m naturally curious and creative, I enjoy building innovative solutions using Artificial Intelligence to solve difficult problems by thinking outside of the box. I can add a degree of flair and creativity to your project alongside my technical expertise to deliver something unique and bespoke for your needs. ❓WHAT MAKES ME DIFFERENT? 💡 Creativity ➝ A skill that I believe is commonly overlooked with technology. Although I have a technical background, my passion are the creative arts and I am passionate about creating solutions that solve problems. I strive to recommend unique solutions, design bespoke architectures and overall build something that is perfect for you. 🗣 Communication ➝ No Data Science project is complete until the business buys into its value. I’ve seen so many projects in my career fail at this stage. I am a clear, confident and empathetic communicator with vast experience in public speaking and enablement. I earned a “Gifted Public Speaker” award at SAP and was Head of Enablement for Machine Learning across EMEA, designing and delivering technical training to over 200 consultants. 🤝 Trust ➝ I have been on the hiring side of Freelancers before and I know that it can be difficult to find the right match. I am a friendly, always open, approachable person that is keen to build trust and rapport with you straight from the start. I am here to build long lasting & fruitful relationships and to build technology solutions that have a real impact for your business. You can rely on me to be open, honest, upfront and advisory with my approach 👍🏽 I'm always happy to have a chat, please reach out to me if you'd like to talk!
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Mathematical Modeling
    Curriculum Development
    Artificial Intelligence
    Virtual Reality
    Digital Signal Processing
    App Development
    Machine Learning
    Model Optimization
    Supervised Learning
    Data Science Consultation
    Python
    Natural Language Generation
    Natural Language Processing
    Computer Vision
  • $70 hourly

    • 5.0/5
    • (53 jobs)
    I'm a seasoned Data Scientist with over 25 years of experience, specialising in a comprehensive range of data technologies including BigQuery, Google Tag Manager (GTM), Google Analytics 4 (GA4), and advanced ETL processes. Based in Australia, I have successfully managed projects that have earned me over $100,000 on Upwork, maintaining a 100% job satisfaction rating. Professional Skills: BigQuery Data Warehousing: Expert in designing and managing powerful data warehouses that consolidate vast amounts of data for scalable analysis. Google Analytics 4 & Google Tag Manager: Advanced proficiency in deploying, configuring, and leveraging GA4 and GTM for detailed tracking and insightful analytics. Analytics Canvas & ETL Processes: Skilled in using Analytics Canvas to streamline the extraction, transformation, and loading of data, enhancing data accuracy and usefulness. Machine Learning & Python: Developing predictive models and automation scripts using Python, enabling smarter business decisions based on predictive analytics. Custom Dashboards and Reporting Solutions: Crafting interactive, real-time dashboards using platforms like Looker Studio, tailored to client-specific needs for monitoring marketing performance and ROI. The FAST System: I developed the FAST System (Framework for Advanced Systematic Tracking) to tackle common challenges faced by marketing agencies and business owners, such as fragmented data sources and uncertain ROI: Framework Setup (F): Establishes robust configurations across data platforms to ensure seamless data integration and accuracy. Alignment of Data (A): Harmonizes and formats data across systems to ensure uniformity, making data easier to analyze and interpret. Synthesis of Information (S): Integrates and synthesizes data from multiple sources to provide comprehensive insights, leveraging advanced analytical techniques. Tactical Implementation (T): Applies insights through strategic actions, employing machine learning to forecast trends and enhance decision-making processes. I'm committed to providing high-quality, bespoke data solutions that drive efficiency and growth. Whether you need to overhaul your data processes, implement new tracking systems, or gain deeper insights from your marketing efforts, I am here to help. My approach is to work closely with each client to understand their specific needs and deliver solutions that not only meet but exceed expectations. If you're looking for a data scientist who combines deep technical expertise with strategic acumen, invite me to your job. I'm eager to bring clarity to your data and precision to your decision-making processes.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Server Side Includes
    Data Engineering
    ETL Pipeline
    Data Lake
    Data Analytics
    Google Sheets
    BigQuery
    Data Visualization
    Dashboard
    Looker Studio
    Data Analysis
    Google Tag Manager
    Google Analytics
  • $150 hourly

    • 5.0/5
    • (27 jobs)
    Services: - Development of algorithmic trading systems for a wide range of assets including equities, futures, options, crypto and forex - Automation, backtesting and quantitative research - Evaluation, optimization and consulting to improve investment strategies such as avoiding backtest overfitting and other common pitfalls - Creation of customized indicators, factors, signal services and market scanners including automated notifications - Development and enhancement of framework modules such as execution algorithms (including TCA) and portfolio optimization models - Increasing the efficiency of trading algorithms so that large amounts of streaming data can be processed faster and less hardware resources are required Technologies & Tools: - Python including a wide range of libraries like pandas, numpy, numba, scikit-learn, matplotlib, seaborn and many more - QuantConnect / LEAN - Git and GitHub for version control and collaboration - Supported brokers for live and paper trading: Interactive Brokers (IB), Tradier, Binance etc. Bio: Quantitative trader and mathematician with strong affinity to financial markets and coding. Extensive experience in design, development and analysis of algorithmic trading strategies. I have been trading various financial instruments (equities, futures, options and currencies) for more than 10 years, whereas my approach has become more and more systematic over the years. I graduated with a Master's degree in Mathematics at University of Technology Dortmund (Germany) in 2016. My master thesis is about Schroedinger asymptotic of wave equations in periodic media. The subject belongs to the field of nonlinear partial differential equations and has applications in signal transmission using fiber optics technology. I then worked as an IT Consultant for 3+ years and was mainly employed as a data warehouse engineer and ETL developer in the regulatory reporting department of large financial institutions. I currently work full-time as a professional Quant Developer and have already invested many thousands of hours in R&D of financial markets and systematic trading strategies, building a deep knowledge of quantitative finance and algorithmic trading. Other remarks: My algorithms are always professionally designed and well documented, making them easy to follow. I mostly use the framework approach, so that the code is modular, pluggable and clearly structured, which also makes it much easier to perform adjustments or extensions. I am willing to sign a NDA, if desired, so that the intellectual property (IP) rights remain with you.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Trading Automation
    Scripting
    Capital Markets
    Machine Learning
    Financial Modeling
    Python
    Quantitative Analysis
    Investment Strategy
    Quantitative Finance
    Software Development
    Automation
    Quantitative Research
    Statistics
    Mathematics
    Algorithm Development
  • $120 hourly

    • 5.0/5
    • (26 jobs)
    Hello! I am a multifaceted professional in the realm of quantitative development, algorithmic trading, and data engineering, based in Chicago. I hold a Master's degree in Financial Engineering from the University of Illinois and have honed my skills across various technical domains including Python, R, SQL, Java, and Linux OS. I excel in setting up and managing complex data workflows, particularly in Linux environments, and I'm adept at creating efficient ETL pipelines that facilitate seamless data integration and transformation. Here’s what I bring to the table: • Quantitative Development & Algorithmic Trading: Designing and implementing advanced trading algorithms that improve decision-making and market performance. • Data Engineering: Architecting and managing ETL pipelines, ensuring data accuracy and availability for real-time analytics. • Linux OS Expertise: Optimizing operating systems for high-performance computing and secure data operations. • Machine Learning & Financial Modeling: Utilizing statistical models to predict market trends and enhance trading strategies. As a top-performing freelancer on UpWork, recognized within the top 3% and awarded the "Top-Rated Plus" badge, I am committed to delivering exceptional value and precision in every project. Whether you need expert advice on setting up your trading systems, managing your data infrastructure, or developing predictive models, I am ready to help you achieve your objectives with cutting-edge solutions. Check out my work on Github: Github.com/chicago-joe
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Trading Automation
    ETL Pipeline
    API
    MySQL
    Quantitative Analysis
    Data Modeling
    Quantitative Finance
    Data Visualization
    R
    Machine Learning
    Python
    Data Analysis
  • $100 hourly

    • 5.0/5
    • (11 jobs)
    I am an experienced data scientist with a focus on mathematical modeling, statistics, and scientific computing. With over 7 years of academic research experience and 2 years as a senior scientist in the pharmaceutical industry, I have led cutting-edge research projects from concept to implementation and final delivery. My work resulted in numerous publications in reputable peer reviewed scientific journals. My passion is helping people make sense of data and finding novel perspectives on challenging problems. [Services Offered] Exploratory data analysis and visualization Identification and implementation of state-of-the-art methodologies tailored to your specific needs Consultation for writing of scientific papers, including consulting and implementation of appropriate statistical and numerical methodology, experiment design, writing of research paper and review of relevant literature Statistical analysis and modeling Design and implementation of data analysis and modeling pipelines Scientific analysis and report writing [Skills and Tools] I am proficient in various programming languages and analysis tools including C++, Java, Python, SAS, R, and Matlab. [Some things I am proud of] Sys-Bio 2013: Young Investigators Award Google Hash Code 2016: International team programming competition. Ranked 165 from over 1000 teams of programmers in Europe.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Scientific Writing
    Machine Learning
    R
    Mathematics Tutoring
    C++
    Biostatistics
    Data Analysis
    Bayesian Statistics
    SAS
    MATLAB
    Mathematical Modeling
    Python
    Survival Analysis
    Scientific Research
    College & University
  • $45 hourly

    • 4.7/5
    • (112 jobs)
    Extensive experience with modeling and statistics in the biomedical sciences: • pharmaceutical statistical data analysis and statistical/PKPD modelling (last 7 years) • multiple upwork projects involving statistical analysis, modelling, and machine learning since 2012 • Ph.D. in stochastic modeling of biological systems (2008-2012) Prior to this, 7 years of experience with experimental biochemistry and biophysics. B.A. Chemistry, Cornell University; M.Sc. Biophysics/Biochemistry, Stanford University; Ph.D. Mathematical Biology, Technical University of Denmark. Near-native English speaking and writing skills (technical and day-to-day conversation).
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Scientific Writing
    Data Modeling
    English
    Data Analysis
    Statistics
    Biostatistics
    Machine Learning
  • $40 hourly

    • 5.0/5
    • (7 jobs)
    Hello, Myself Dhruvil, I am an engineering professional with over a year of experience in the realm of Machine Learning. As a lead developer, I specialize in creating applications and tools utilizing the versatile Python programming language. My expertise encompasses the implementation of numerous Machine Learning libraries, including numpy, pandas, PyTorch, and TensorFlow, and I am adept at applying a multitude of Machine Learning algorithms such as Regression, Classification, and Clustering. Recently, I have ventured into the fascinating domain of Natural Language Processing, which has enabled me to refine my skills and acquire hands-on experience in this rapidly evolving field. As a result, my proficiency in various NLP tasks such as text generation, classification, summarization, and sentiment analysis has significantly improved over time. Overall, I have completed various NLP projects utilizing cutting-edge technologies and pre-trained models. My work includes the analysis of embeddings using diverse language models, the development of a legal AI chatbot for business law queries, and the creation of an AI Article Writer for generating service-related blog posts. These projects have allowed me to fine-tune advanced models, implement clustering algorithms, devise data-driven strategies, and deploy robust solutions, showcasing my unwavering commitment to innovation and excellence in the fields of Machine Learning and Natural Language Processing.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    OpenAI Codex
    Hugging Face
    Artificial Intelligence
    ChatGPT
    Transformer Model
    Sentiment Analysis
    Python
    Chatbot
    Data Mining
    Data Scraping
    Model Tuning
    Natural Language Processing
    Machine Learning
  • $40 hourly

    • 5.0/5
    • (52 jobs)
    Welcome to my profile! I'm Ahmed, a passionate Machine Learning and Deep Learning Engineer, dedicated to transforming ideas into reality with over 5 years of professional experience. My journey in the tech world is defined by my curiosity and my commitment to excellence, which is reflected in my 100% Job Success Score and a track record of successful projects across the globe. Why Partner with Me? - Global Expertise, Local Insight: Successfully delivered 50+ projects with a diverse client base from 14 countries, including the USA, Canada, and various European and Middle Eastern nations. - *Academic & Practical Mastery: Not just a practitioner but a mentor and researcher, with a solid foundation from Zewail City of Science and Technology and hands-on experience in leading R&D projects. - Versatile Skill Set: From AI to Computer Vision and everything in between, my toolbox is equipped with Python, PyTorch, Neural Networks, and more, tailored for your project needs. - Client-Centric Approach: My priority is your satisfaction. Expect a collaborative partner who listens, advises, and delivers on time, with 5-star feedback from clients worldwide. Offerings: - Machine & Deep Learning Development - AI-Powered Solutions (Chatbots, Image Processing, NLP) - Data Visualization & Analysis - Educational Workshops & Consultancy Achievements & Credentials: - Top Machine and Deep Learning freelancer in Egypt - Engagements with the Egyptian Government as a freelance expert - Diverse portfolio showcasing projects across AI, ML, and Data Science - Verified certifications in Machine Learning, Data Analysis, and more Looking to bring AI into your project or need an expert to navigate the complexities of Machine Learning? Let's make it happen. Drop a message to discuss your vision.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Tutoring
    Artificial Intelligence
    Data Analysis
    Image Processing
    Deep Learning
    Natural Language Processing
    Neural Network
    PyTorch
    Computer Vision
    Classification
    Python
    Machine Learning
  • $60 hourly

    • 4.9/5
    • (212 jobs)
    "Antonis is a genius. His quality of work, after-sale service and clear explanations are impeccable. Overall, the best experience I have had on UpWork" "This is the kind of freelancer that makes me glad to have joined the platform. Antonis is a consummate professional. Expert, punctual, supportive, flexible, communicative. The money I spent on this contract was some of the best I've ever spent!" "Would highly recommend. ...job...handled immediately and exactly as I wanted" "One of the most reliable contractors I have worked with. " "This man is a magician with algorithms." "Antonis is absolutely brilliant. Really attentive and really quick to get things done." "Technically astute." "Excellent work. Quick turnaround. Great attitude." That's a summary of all different feedback on completed jobs up to date, and that's the quality of service I love to provide. Short CV: For the last 10 years, I have being developing with Python, focusing on Data analysis projects. I'm accustomed with pandas, numpy and pretty much any related library. Before that, there is one decade's data-analysis and programming experience. I had been working with data collecting and processing tasks of all sorts using Microsoft Excel, Google Sheets, VBA macros, VB, VBA, Python, custom scripts and professional licensed tools for web scraping (automated website reading), PDF scrapping, and editing, OCR (scrapping from image files, using Tesseract and Finereader), file/data management, 10.000+ entries on each project. Some jobs are: listing all the online offered lessons of high schools of the country, regional statistics jobs (for my country's Statistics Authority), automating daily or weekly tasks with extensive error handling, lead generation, scraping search engine results, social media scrapping and automating windows applications. I use professional tools and custom developed solutions. I can speak directly to API, or read/parse the HTML output. I deploy to cloud (I use Amazon Web Services) for scaling and to perform geo-related searches, completing huge jobs in a few hours. Tech Background: I have hands on professional experience with AWS (EC2, S3, SQS etc), Latex, Matlab. I have strong Physics and Mathematics background. I speak HTML, JS, JSON, XML, C, C++, C#, Python (including Pandas, BeutifullSoup, boto3 for AWS, Django), VB, VBA (Advanced excel solutions), Google Apps Script, Bash (for SysAdmin tasks), CSS, and Windows Automation languages (i.e. Autoit). I have used hundreds of APIs including Google APIs (geolocation), and Twillio for marketing projects. I have delivered working solutions that use hundreds of proxy servers with management and recycling. More recently, I have used and implemented OpenAI Whisper and ChatGPT APIs to web applications. I have developed and deployed custom web applications based on Python (Django), SQL, Bootstrap4. I have included in, custom-developed genetic algorithms that perform live Operational Optimization. I offer services rather than products. I'll design the best applicable solution for your task from scratch, run it on my own infrastructure, and deliver the results to you within time. The solution can also be developed as your own custom Web Application or Software as a Service (SaaS), "fully managed" by me to ensure working for as long as you wish. This means a custom made website or web API that do what you want them to do. Hosted, secured, login-ready, will work on any device (Mobile/Tablet/Mac/Windows/Linux any flavor), at reasonable price for development and maintenance. Also, I'm available for support on short notice, as long as our contract is active. I can also comply with a Service Level Agreement (SLA). Through the years and through different projects and roles I have been in touch with hundreds of businesses and different verticals. The solutions I provide require me to understand the scope, and I find it easy to learn about and understand different subjects, be it Internet Marketing, SERP and SEO, Ships and Shipping Business, Agriculture, Financial and Tax, Logistics and Production Lines, Electronics and Robotics, on a level that allows me to easily communicate and requirements of new projects and tasks. I'm a fluent English speaker, and I'm available on Upwork chat even when I'm on mobile. This means I will respond to chat messages immediately or within 2 hours, 5 AM to 8 PM (UTC). I am also available at Skype, Slack, or Teamviewer, upon request (After Hire). I'm a business-minded trained professional that you can count to, to get the job done in the requested time, with 100% accuracy and attention to detail. Contact me today to make it work, together.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    pandas
    Django
    Microsoft Excel
    Excel Macros
    Visual Basic for Applications
    Web Application
    Data Scraping
    Data Analysis
    Scripts & Utilities
    Amazon EC2
    Full-Stack Development
    Web Development
    Spreadsheet Software
    Python
    Problem Solving
  • $60 hourly

    • 5.0/5
    • (73 jobs)
    Hello, I'm Sam (Soheil), an experienced professional with a background in electrical engineering and computer engineering and a strong focus on programming, particularly in Python. With over 7 years of experience in Python programming and 5 years in Data Science, I offer my skills as a versatile backend developer and data scientist. Here are some highlights of my expertise: *Numeric analysis and visualization: Proficient in utilizing Python packages such as Pandas, NumPy, Sickit-learn, SciPy, Matplotlib, Seaborn, etc. for effective numeric analysis and visualization. *Fintech: Experienced in working with MT5 (in Python) and various financial APIs like Bloomberg, Kraken, Kucoin, and Binance. I excel in obtaining and preprocessing data, creating ML/DNN models for predictions, and conducting backtesting or paper trading to validate the models. I can also develop and deploy trading bots and strategies for different crypto/stock market APIs. *Image processing and computer vision: Demonstrated proficiency in image classification, object detection, object tracking, face recognition, and other related projects. Skilled in utilizing TensorFlow and OpenCV packages to achieve accurate results. *Back-end programming: Proficient in creating and deploying ML/DNN APIs using Flask, OpenAPI, and FastAPI, encapsulated in Docker containers. Well-versed in working with various databases such as MongoDB, MySQL, and Neo4j. Additionally, I have familiarity with AWS platforms like Sagemaker, EC2, SQS, Cloudwatch, as well as GCP. Feel free to reach out to me if you require a dedicated backend developer or a skilled data scientist and analyst for your team.
    vsuc_fltilesrefresh_TrophyIcon Data Science
    Machine Learning
    Cryptocurrency
    Bot Development
    Deep Learning
    Computer Vision
    Deep Neural Network
    Blockchain
    Data Scraping
    API
    Data Analysis
    Neural Network
    Analytics
    Python
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How to Hire Top Data Scientists

Given the amount of data being generated today, businesses need professionals to help them make sense of it all. From analyzing historical data to identifying trends, data scientists can help you extract valuable insights for informed decision-making.

Upwork connects you with data scientists with varying skills and specializations. Whether in healthcare, technology, retail, or finance, data scientists can help you gain insights from overwhelming amounts of data.

Hiring data scientists on Upwork is a straightforward process that usually proceeds as follows:

  • Create a job post. Draft a job post outlining your project requirements, the desired skills and qualifications, experience level and responsibilities.
  • Submit the job post. With the job post written, the next step is to post the job template on Upwork. This post will be visible to independent professionals who are looking for the kind of work outlined in the post.
  • Review applications. As you receive applications from experienced data scientists, review them and shortlist anyone you think suits the role.
  • Perform interviews. Next, you interview the shortlisted candidates to assess their technical and soft skills, making sure they fit the role.
  • Discuss terms. Once you settle on an applicant, finalize the hiring process by discussing terms and conditions.

Keep reading to discover more about data scientists on Upwork and how you can make the right selection.

Understanding the role of data scientists

Data scientists perform multiple roles and have many responsibilities, including:

  • Data collection. Collaborate with data analysts, engineers, IT professionals, and stakeholders to gather, clean, and prepare data for processing.
  • Data analysis. Use different data analytics methods and algorithms to analyze large datasets to identify trends, patterns, and relationships.
  • Creation of predictive models. Building predictive models that can give businesses a glimpse of the future, allowing them to plan effectively.
  • Build machine learning algorithms. Develop machine learning algorithms to identify insights hidden in data.
  • Design experiments. Conduct thorough experiments to test hypotheses.

Data science is a valuable field in the modern world, enabling data-driven decision-making. 

Types of data science expertise 

Common areas that data scientists specialize in include:

  • Artificial intelligence (AI) and machine learning (ML). Data scientists can specialize in AI, which allows computer systems to perform tasks they aren’t explicitly programmed for. Machine learning algorithms operate behind the scenes, analyzing large datasets and identifying patterns and relationships between variables.
  • Deep learning. This branch of machine learning entails training neural networks to solve more complex problems. Data scientists can be involved in developing and training these neural networks.
  • Statistical analysis. Data scientists also engage in statistical analysis, where they use different tools and techniques to explore and analyze data—and extract valuable insights for better informed decision-making. 

Specialization Assessment Tips:

  • Interview Questions: Assess technical and soft skills to ensure specialization matches your needs.
  • Portfolio Review: Check previous work quality and alignment with your project requirements.

Essential skills and qualifications for data scientists

Data scientists need a range of skills and qualifications to thrive in their roles:

  • Programming languages. Proficient with programming languages, particularly those used in the data science field, like Python and R.
  • Machine learning techniques and frameworks. Data scientists need to know their way around ML frameworks like Scikit-learn, TensorFlow, Keras, and PyTorch, which they use to develop algorithms.
  • Database management and data manipulation tools.  Experience with SQL, NoSQL, and data manipulation tools.
  • Data visualization. Use Power BI and Microsoft Excel for data visualization.
  • Communication skills. Excellent communication skills to express ideas and collaborate effectively with other parties.
  • Analytical skills. Good analytical skills, allowing them to identify patterns and relationships in data quickly.
  • Big data skills. Understand big data fundamentals, enabling them to store and manage large amounts of information. Familiarity with big data tools like Hadoop and Apache Spark.

Finding the proper data scientist

Data scientists have some of the most in-demand skills in 2024 due to the growth of AI, ML algorithms, and big data. Here’s where you can find experienced data scientists:

  • Talent Marketplaces: Find experts with varying specializations and rates on platforms like Upwork.
  • Professional Networks: Use LinkedIn or referrals from colleagues.
  • Industry Conferences: Attend events to meet potential candidates.

Candidate Evaluation Tips:

  • Educational Background: Check for degrees and certifications relevant to your project.
  • Project Portfolio: Ensure quality and diversity of previous work align with your requirements.
  • Published Works: Assess credibility and relevance to your project.

The hiring process

Ask the following questions to assess candidates’ problem-solving abilities and ethics:

  • What tasks did you accomplish in your past projects?
  • How did you collect and clean data for analysis?
  • What tools and techniques did you use in previous data analysis projects?
  • What challenges did you face in your data projects, and how did you resolve them?
  • If your dataset has missing entries, how will you deal with this issue for quality analysis?
  • How do you assess the reliability and accuracy of your results during data analysis?
  • How do you prevent bias when collecting and analyzing data?
  • What ethical issues are common in machine learning and artificial intelligence projects?

Test the candidate’s competence further using practical tests and case studies to assess real-world problem-solving skills.. 

Cost of hiring a data scientist

The cost of hiring data scientists can be influenced by a number of factors, including:

  • Level of expertise. Data scientists charge depending on their experience and specialization.
  • Industry demand. The hiring cost can be high in sectors with high demand for technical skills. For example, data scientists in the artificial intelligence or advanced analytics fields may charge higher rates than other, unrelated fields.
  • Location. Workers may also charge varying rates depending on their location. For example, those who live in places like New York City and have a higher cost of living may charge higher rates. 
  • Complexity. The hiring cost may also vary depending on the complexity of the projects. Complex projects require more time and effort to complete and may thus demand higher rates.

The average hourly rates data scientists charge depend on their experience. Here are some typical rates you may find on Upwork:

  • Beginner or entry-level: $30
  • Intermediate: $100
  • Expert: $250

Collaborating with your data scientist

To onboard a suitable candidate and promote effective collaboration:

  • Communicate Business Objectives: Share objectives, mission, and core values.
  • Enable Data Access: Grant access to necessary datasets while maintaining security.
  • Facilitate Cross-Departmental Collaboration: Introduce them to the team for information sharing.
  • Provide Tools and Resources: Ensure access to the right tools and software.
  • Invest in Learning Opportunities: Encourage participation in bootcamps and courses.

Legal and ethical considerations

  • Data Privacy: Use NDAs to protect sensitive data.
  • Bias and Fairness: Avoid biased datasets in ML model training.
  • Data Usage: Ensure data is used only for legitimate purposes.

FAQs when hiring a data scientist

What is the difference between a data analyst and a data scientist?

While they operate in the same field, data analysts and data scientists play distinct roles. 

  • Data Analyst: Deals with historical data to identify patterns and trends.
  • Data Scientist: Covers AI, ML, and current/historical datasets to find hidden insights.

How do I measure the effectiveness of a data scientist?

Measure the effectiveness of a data scientist through a performance review. This exercise allows you to assess their work based on specific key performance indicators (KPIs).

How can a data scientist add value to my business?

A data scientist can analyze large datasets and provide you with crucial insights, facilitating data-driven decisions. This expert can also perform predictive analytics, giving you a glimpse of how the future looks and allowing you to develop and implement proper strategies.

Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.

Prices and fees are current at the time of writing and may change over time based on each service’s offerings.

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