Data Science Jobs

I’m building a real-time, AI-driven dashboard that will automatically score and segment B2C leads for marketing campaigns. The core objective is to surface the highest-value prospects by analysing three metrics side by side—lead source, conversion rate and customer lifetime value—then presenting clear, actionable insights in an interactive interface. Here’s how I picture the flow. Raw data will stream in from typical marketing touchpoints (landing pages, paid ads, email, social, CRM exports). A lightweight ETL layer will clean and unify these feeds, feed them into a predictive model that ranks each incoming lead, and push the processed results to a front-end dashboard. I’m open to frameworks like Python + FastAPI for the back end and React, Vue or similar for...

Title: Create a Custom Sign Language Image Dataset (Alphabets, Numbers, and 20 Word Gestures) Project Overview I am developing a computer vision model that recognizes complete sign language gestures, including alphabet signs, number signs, and common word gestures. To train the model, I need a custom image dataset of sign language gestures captured as still images. The dataset should use one consistent sign language system (for example, American Sign Language – ASL). Please specify which sign language you will use. Only images are required. No video is needed. Dataset Requirements The dataset should include: 26 alphabet signs (A–Z) 10 number signs (0–9) 20 common word gestures Total gesture classes: 56 gesture classes Example word gestures may include: hello thank_you ple...

I need an engaging trainer who can take absolute beginners through the fundamentals of data analysis in a series of online live sessions. The audience has no prior experience, so the material needs to start from scratch—explaining core concepts, demonstrating workflows step by step, and giving plenty of hands-on practice. We will meet over a video-conferencing platform (Zoom or similar) at agreed times. I expect you to bring a clear syllabus, lively examples drawn from real datasets, and interactive exercises that let participants follow along on their own machines. Recordings of each session, slide decks, and any code or spreadsheet templates you use should be shared afterward so the group can review. By the end of the program, participants should comfortably import raw data, perf...

The paper is already outlined and the dataset—purely observational—has been cleaned and is ready to load into R. What remains is the core empirical work: applying a Difference-in-Differences strategy, interpreting the findings, and writing up the Results and Discussion sections so they flow naturally with the rest of the manuscript. Scope of work You will run the DiD models in R (base, tidyverse, or workflows are all fine) and include any necessary robustness checks or placebo tests. Once the estimates are solid, weave the numbers, tables, and plots into a coherent narrative that completes both the Results and the Discussion, linking back to the hypotheses already laid out in the introduction. Deliverables • Reproducible R script or R Markdown file with all code and...

I’m running a head-to-head study of several classic and deep-learning classifiers—KNN, Logistic Regression, linear SVM, Kernel SVM, and a simple feed-forward Neural Network—using both the original MNIST digits and the Fashion-MNIST images. I want the two datasets treated with equal weight so that any conclusions hold across handwriting and apparel imagery alike. Before training, every image batch must pass through Normalization and Feature Scaling, and I’d like to see creative yet reasonable Data Augmentation (rotations, shifts, noise, etc.) applied consistently to both datasets so we can observe how each model copes with expanded variability. For each classifier, I need precision, recall, and F1-score reported per class and averaged (macro and weighted). Beyond r...

I need help with a data analysis homework task using R. Requirements: - Experience with R - Knowledge of statistical analysis and data interpretation - Ability to explain concepts clearly Please provide examples of previous work.

I need a 3,000-word, well-researched paper that explains how expert systems are being applied across business and finance to improve risk analysis and decision support. The piece should read like a mini-white-paper or journal article, weaving together current academic insights, industry examples and clear, actionable takeaways. Scope • Begin with a concise overview of expert systems and the AI techniques that power them (rule-based logic, fuzzy inference, knowledge graphs, etc.). • Move into practical applications in finance and wider business operations, with particular emphasis on risk modelling, credit assessment, portfolio optimisation and real-time decision support. • Discuss advantages (speed, consistency, scale), limitations (data bias, knowledge-base maintenan...

I’m looking for someone experienced in Python and data analysis to help structure a clean Exploratory Data Analysis (EDA) in a Jupyter Notebook. The goal is to explore a dataset and clearly document the insights. Tasks include: - Overview of the dataset structure and features - Analysis of missing values, outliers, and anomalies - Basic data cleaning with explanation - Visualizations and observations - Including one additional open-source dataset for comparison - Running a simple baseline model Deliverable: - Jupyter Notebook exported as a PDF (minimum ~3 pages) - GitHub link containing the notebook Experience with Python, Jupyter, pandas, and basic machine learning preferred.

The use of data and machine learning has become increasingly common in professional sports, especially in the NBA. Teams now collect and analyse large amounts of historical data related to games, players, and overall performance in order to gain a competitive advantage. As the data is well structured and widely available, the NBA has become a popular area for sports analytics and predictive modelling. Most existing basketball analysis focuses on team statistics and individual player performance, such as scoring, shooting efficiency, and defensive contributions. While these metrics are useful, basketball is a team sport, and success often depends on how well players perform together on the court. This is team chemistry, but it is difficult to measure using traditional statistics.

I need software that detects temperature gradients in stitched, high-resolution images. Requirements: - Analyze thermal images, focusing on temperature gradients. - Generate detailed reports on detected anomalies. - Input format: RJPG. Ideal Skills: - Experience in image processing and thermal analysis. - Proficiency in software development for anomaly detection. - Knowledge of report generation based on image data. Please include relevant experience in your application.

I need a full-featured online store built from the ground up for selling physical products. The site must include product listing pages, a smooth shopping cart flow, and a secure checkout that supports UPI / Razorpay so customers within India can pay quickly without friction. A clean, intuitive UI is essential—I want the browsing and purchase experience to feel effortless on both mobile and desktop. Speed and SEO best practices matter just as much as looks, so please keep page weight light, code clean, and metadata in order. On the back end I will rely on a robust admin dashboard that lets me: • add, edit, and archive products with images and variants • track and fulfill orders in real time • view and manage customer accounts and order history Please build w...

I'm looking for an experienced developer to create an AI trading robot focused on the Forex market. The robot should implement a day trading strategy. Ideal skills and experience: - Expertise in Forex trading - Experience in developing AI trading algorithms - Strong background in day trading strategies - Proficiency in relevant programming languages (Python, R, AI etc.) - Ability to backtest and optimize trading models - Knowledge of risk management techniques - Able to link to outsource indicator to open and close trade - Project fee is highly negoitabe , depends on your contribition (entry price is just for reference) Please include your relevant experience in your application.

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**Project Title:** Personalized Recommendation System Using Collaborative Filtering and Deep Learning **Project Description:** I am looking for an experienced AI,ML,DL developer to build a personalized recommendation system using collaborative filtering and deep learning techniques. The system should analyze user–item interaction data and generate personalized recommendations for users. **Project Objectives:** * Develop a recommendation model using collaborative filtering. * Integrate deep learning techniques (such as Neural Collaborative Filtering). * Improve recommendation accuracy by capturing complex user–item relationships. * Generate Top-N personalized recommendations. **Scope of Work:** 1. Data preprocessing and creation of a user–item interaction matrix. 2. I...

I’m putting together a complete video course in Hindi and English that guides absolute beginners through the full journey of data analysis—from first principles all the way to hands-on work with popular tools such as Excel and Tableau. I need you to record the lessons yourself, speaking clearly, sharing your screen, and demonstrating every step so viewers can follow along in real time. The flow should start with fundamental concepts—types of data, descriptive statistics, basic visualisations—and gradually move into more advanced techniques like pivot tables, forecasting, and dashboard creation. Practical, example-driven teaching is essential; the audience has no prior experience, so every technique must be shown in context with a downloadable dataset. Deliverables...

sixteen 1、 Title: Research on Partial Discharge Fault Diagnosis Method for Power Substation Based on Combinatorial Logic and Deep Belief Network 2、 Journal Division: SCI Zone 4 I need you to match 3-5 journals based on my topic, and I may submit them based on the journals you provide me with in the future, 3、 Writing requirements: Write according to my paper title and journal requirements, and provide necessary journal requirements documents, including an AI plagiarism report Turnitin (Artificial Intelligence) (1) Word count: 5000-8000 words (2) Formulas and symbols: cannot exist in image format, nor can they be created using Word's formula editor. Please format all formulas using MathType to ensure that the font and size match the text. (3) Formula number: All formulas must be number...

• Description We have input data which is the wind speed and direction. The data consists of Recent History (input) Internal (output) Forecast (only use the regular-lat-lon-simple-level) to forecast the future: We will give you the links. Your desktop app, will use the recent history to train the model with the internal output. In realtime, your app will also read the latest file from U and V 10m to produce the latest forecast. The forecast is run every hour and will be saved into our database. We will give you the REST api to save your data. We will also need you to create a script to backtest the model. i.e. using the actual data of Jan to Dec 2024 to forecast the data of Jan 2025. The window can slide so Feb to Jan 2025 to forecast the data of Feb 2025 etc. We will also need ...

assistance in sorting and converting large amount of emails to pdf with clickable links fo r attachments

I’m building a small-scale, university-level prototype that recommends the most suitable cybersecurity framework for a payment-gateway provider after it supplies basic company data through a simple GUI. The tool must consider only cybersecurity frameworks—no governance or risk models—with the initial comparison set restricted to CIS Controls v8, PCI DSS, NIST 800-53, NIST 800-61, and MITRE ATT&CK. Scope of the build • Data layer: curate or simulate representative “company data”—size, transaction volume, geography, existing controls—and prepare it as the training / inference set. • Model: tune an appropriate NLP or rules-augmented model so that, given the company profile, it returns the single best-fit framework plus a short justi...

I’m looking for someone reliable who can find and apply to remote software engineering jobs on my behalf. About me: I’m a Staff Machine Learning Engineer based in California, USA, so you will apply to relevant roles such as: - Staff Machine Learning Engineer - Senior Machine Learning Engineer - AI Engineer - ML Engineer - Applied AI Engineer Applications will be submitted on platforms such as: Wellfound (AngelList), DevRel Careers, Working Nomads, Remotive, Himalayas, We Work Remotely, JustRemote, , FlexJobs, , SkipTheDrive, Jobspresso, Europe Remotely, and Dice. Responsibilities - Find relevant remote jobs - Submit job applications on my behalf - Write or adapt short cover letters - Record each application in a Google Sheet - Notify me when interviews are scheduled Track...

I need an AI showcase designed specifically for marketing and promoting our capabilities to potential clients. The project is urgent and needs to be completed ASAP. Key Requirements: - Engaging and interactive presentation of AI capabilities - High-quality visuals and graphics - Clear and concise messaging tailored to potential clients - Experience in marketing materials and AI technologies is a plus Scope • Build the complete workflow in Python, using current mainstream libraries (scikit-learn, TensorFlow or PyTorch, plus supporting tools such as pandas, NumPy, and Streamlit/Plotly for visual insights). • Provide clean, reproducible code, modular enough to be adapted later. • Document the entire pipeline with architecture and data-flow diagrams, plus a concise narrative ...

I need an AI agent in Copilot to analyze Excel spreadsheets. The spreadsheet shows monitoring visit compliance. The agent should be able to determine if a visit has been compliant within the allowable visit window. Ideal Skills: - Experience with AI and machine learning - Proficiency in Excel, especially in data analysis - Strong programming skills (Python, R, etc.) - Familiarity with data visualization tools

I have several years of historical sales records spread across CSV files, Excel workbooks, and a database. I want you to turn that mixed-source information into a clean, consistent dataset, explore it for trends and seasonality, and then build a machine-learning model that can reliably project future sales. Data preparation must cover every stage—handling missing values, normalising numeric fields, and performing any transformations needed to feed the algorithms. Once the data is tidy, run an exploratory analysis so I can clearly see the patterns that drive revenue, especially how previous sales, marketing spend, and seasonal shifts interact. For modelling, I am open to linear regression, Random Forest, ARIMA, or another regression-based technique you can justify in the report. The...

I need an expert to analyze daily rainfall data for my farm and build a predictive model. The analysis should cover: - Trend analysis - Anomaly detection - Seasonal patterns assessment The goal is to develop a robust rainfall prediction model. Ideal skills and experience include: - Proficiency in data analysis and statistics - Experience with predictive modeling - Knowledge of agricultural impacts of rainfall patterns - Familiarity with relevant software and tools (e.g., Python, R, etc.) The data is very erratic so I dont need a detailed monthly prediction model although it would be nice if possible, otherwise a yearly prediction model or atleast something that says a dry season is coming or a wet season is coming. The model must include macro environmental factors such as El Nino (ONI...

I am coordinating a large-scale healthcare randomised controlled trial and, now that we are midway through data collection, I need an experienced biostatistics partner who can carry the project through to publication and simultaneously prepare a systematic review on the same topic. For the RCT you will take over live clinical-trial data streams, refine the data collection and management workflow, perform all required statistical analyses, then translate the findings into a clear manuscript-ready report and slide deck. Because the trial is already registered and governed by strict SOPs and GDPR, familiarity with GCP, REDCap (or similar), and reproducible R scripts/SAS code is essential. Alongside the trial work I also need a full systematic review following PRISMA guidelines. You will han...

I’m running several data-science driven market research projects and need a sharp management trainee who can keep the wheels turning while digging deep into consumer behaviour. Your main focus will be consumer research—specifically behavioural patterns—so expect to be involved in everything from shaping survey instruments and sourcing secondary data to translating raw numbers into clear, decision-ready narratives for stakeholders. Day-to-day you’ll help me: • Coordinate timelines, milestones, and cross-functional touch-points so each study stays on track. • Collect and clean behavioural data, whether it comes from surveys, web analytics, or CRM exports. • Perform exploratory analysis in Excel, Python, R or any tool you prefer, then visualise ke...

Need tgood tutors for data science and computer science for large number number of tasks only indvial tutors no agencies and middle man

I have a five-question risk-management assignment that must be solved entirely in Python and documented in a Word file. Each question asks me to pull real-world financial data from Google Finance, process it with well-commented code, and interpret the results in a risk-management context. Here is what I need from you: • Write clean, reproducible Python scripts for every question, making sure the data is fetched directly from Google Finance each time the code is run. • Embed concise explanations, assumptions, and any formulas alongside the code (either as inline comments or markdown cells if you prefer to work in a notebook before exporting). • Transfer the final answers, charts, and code snippets into a neatly formatted Word document so the assignment is submission-rea...

I’m kicking off a five-part AI build that will ultimately cover land value estimation, risk assessment, ROI prediction and more, but the very first milestone is a robust Land Value Estimation engine. Everything you need to understand the larger vision, data architecture and success metrics is spelled out here: Scope of this initial module • Work only with historical land price data for now; I’ll layer in geographical or environmental feeds once the core model proves reliable. • Keep the geographical focus tight—one defined local area—so we can reach production-ready accuracy quickly, then scale regionally. • Deliver a trained model (Python preferred), well-commented code and a concise report that explains feature engineering, validation metric...

We are looking for an experienced Senior AI/ML Engineer to join our team and help build advanced AI-driven solutions. The ideal candidate will have a strong background in machine learning, deep learning, and data science, with expertise in deploying models at scale. If you're passionate about tackling complex challenges and working with cutting-edge AI technologies, we want to hear from you! We are looking for an individual, not agency. Scope of work - Collaborate with the team to integrate AI/ML technologies into current projects. - Develop and optimize machine learning algorithms. - Perform ongoing analysis and validation of AI models. Key Responsibilities: ** Fluent English Skill is MUST!!! So if you don't have ENGLISH SKILLs don't apply for this position. Develop a...

Data Science Competition in the HAGO Community We invite all data enthusiasts and creative minds to join a unique challenge within the HAGO community to form a team of data scientists, aiming to participate in global competitions and analyze financial markets and stocks. Challenge Topic We provide a comprehensive dataset covering: Electric Vehicle (EV) performance. Charging behavior. Battery health. Cost analysis across different manufacturers, models, regions, and usage types. Participants are required to: Explore and analyze the dataset. Build accurate predictive models. Present innovative insights into the future of electric vehicles. Submission Guidelines Submit a file written in Python, including all steps of analysis and prediction. Save the file as a PDF and upload it u...

Project Title: MERN Stack Web Application Development Project Description: I am looking for a developer who can build a web application using the MERN Stack (MongoDB, , React.js, Node.js). This project is for academic purposes. Requirements: • Frontend: React.js with responsive UI • Backend: Node.js and • Database: MongoDB • Features: User authentication (login/signup), CRUD operations, basic dashboard • Clean and well-structured code Additional Requirements: • Source code must be provided • Basic documentation of the project • Proper comments in the code Budget: Open for discussion Deadline: 5–7 days If you have experience with MERN Stack development, please place your bid and share your previous work if available.

I have a batch of highly-structured PDFs whose tables combine text and numeric fields on every line. Each file also contains a few reference images, but the scope of this job is strictly to capture the text-and-number data and place it into the corresponding columns of a Google Sheet that I will share with you. Because the layout is consistent across all documents, once the pattern is understood the work should flow quickly. Accuracy is more important to me than speed: every field must match the PDF, number formats must stay intact, and any missing or illegible values should be flagged in a separate “Notes” column rather than guessed. Deliverables • A fully populated Google Sheet mirroring every row and column that appears in the PDFs • A brief note highlighting ...

I need to built an AI-driven system that dynamically estimates optimal auctions starting prices to addresses the inefficiencies in the current manual and static reserve-pricing system for vehicle plate auctions on the Absher platform. It is divided into two distinct projects that work in tandem: the AI Engine and the Analytics Dashboard Project 1: The AI Pricing Engine (Backend) This is the "Brain" of the operation. It handles the heavy lifting of mathematical modeling and real-time forecasting. Primary Purpose: To transform cultural plate features into monetary value using Machine Learning and to forecast auction trajectories. Core Capabilities: Dynamic CART Regression: Uses the Decision Tree algorithm to calculate reserve prices based on non-linear features (Symmetry, Repe...

**Project Title:** Source Detection using Human Behaviour Dynamics using Machine Learning / Deep Learning / AI **Project Description:** I am looking for an experienced Machine Learning / Deep Learning developer to build a model also novelty is must **Scope of Work:** * Dataset preprocessing and exploration * Model development using ML/DL techniques * Training and testing the models * Performance evaluation (Accuracy, Precision, Recall, Confusion Matrix) * Comparison of different models * Clear documentation of the workflow **Preferred Tech Stack:** * Python * Machine Learning / Deep Learning models * TensorFlow / PyTorch / OpenCV * Data visualization libraries **Deliverables:** * Complete source code * Trained model * Results and performance comparison * Brief documentation of th...

Backend Engineer Needed for RAG Architecture (LLM + Vector Database) --- Project Description I am looking for an experienced developer to design and implement a production-grade RAG (Retrieval-Augmented Generation) backend for a controlled knowledge system. This is not a generic chatbot project. The goal is to build a system where a language model can query a structured knowledge base while enforcing strict safety and retrieval rules. The system will be used in a clinical / healthcare-related context, so accuracy, traceability and rule enforcement are critical. --- Current Infrastructure The current setup includes: WordPress website hosted on Hostinger (content origin / source of truth) Cloud environment on Hetzner available for backend deployment Initial automation infrastruc...

We are seeking a high-caliber professional with a background in Theoretical Physics, Pure Mathematics, or Information Theory to assist in the conceptual validation of a new computational paradigm. This is a stealth-mode project. No technical details (algorithms, hardware, or frameworks) will be disclosed publicly. We are not looking for a "coder," but for a mind capable of handling abstract algebraic structures and complex systems. Requirements: • PhD or Master’s Degree in Physics or Mathematics. • Deep understanding of Graph Theory or Statistical Mechanics. • Ability to sign a strict Mutual NDA before any technical deep-dive. HOW TO APPLY (Read Carefully): To filter out automated bot proposals, you MUST follow these two steps, or your application will be ign...