Sains Data Jobs

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 am looking for a professional academic writer to help me complete a comprehensive university report on Location Intelligence (LI). The report should be between 1,500 and 2,500 words and must maintain a high academic standard. The report needs to cover the following key areas: Conceptual Framework: A clear explanation and comparison between Spatial Analysis and Location Intelligence, highlighting how LI integrates business data with geographic context. Case Study: A detailed analysis focused on Urban Planning. This should demonstrate how location intelligence is used to solve modern urban challenges (e.g., resource allocation, infrastructure development, or smart city initiatives). Spatial Techniques: In-depth discussion of specific techniques, including Spatial Autocorrelation and He...

• 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 ...

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...

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...

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...

We need technical support in share trading i.e hardware and software for trading workstation and secondly the stretagy and practice part of trading. please quote.

I’m building a complete AI-driven platform that trades listed options for me end-to-end. The engine has to recognise and act on the full range of strategies I use—straight buying or selling of calls and puts, multi-leg spreads, straddles, strangles, and any automatic strategy the model itself flags as favourable. Core capabilities I need • Real-time market analysis that fuses live quotes with historical time-series data, news feeds, social-media sentiment and technical indicators such as Wave Trend, VWAP and similar momentum tools. • Automated trade execution through a broker API, with order staging, smart routing and position monitoring. • Built-in risk management covering position sizing, max-loss cut-offs, volatility shocks and margin checks before any or...

Explainable AI Models for Any topic with novelty Project Description: Build a complete end-to-end Machine Learning project using dataset (CSV) to identify the source of infection using Explainable AI models. The project should include data loading, EDA (missing values, distributions, correlations, visualizations), data preprocessing (handling missing data, encoding categorical features, scaling numeric data, removing outliers), and feature selection. Train and compare multiple ML models with cross-validation and hyperparameter tuning, and include explainability using SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations). Deploy the system with a Streamlit web UI where users can upload datasets, select the target column, run preprocessing, train...

Job Title: macOS App Data Extraction Specialist (Offline QBank – Reverse Engineering Required) Job Description: We are seeking an experienced freelancer with expertise in macOS application data analysis and reverse engineering to help extract offline data from a medical QBank application installed on macOS. The application allows users to download question banks for offline use, and the required data already exists locally within the app’s container directory on the Mac. However, the storage format appears to use a browser-style database system (e.g., IndexedDB/LevelDB) rather than a traditional SQLite database. Your task will be to analyze the application’s local storage structure and extract the stored QBank content into a clean, structured dataset. Scope of Work: Analy...

I need a complete, reproducible deep-learning pipeline that takes raw leaf images, learns to recognise plant diseases, and then serves the prediction through a Streamlit interface. Because I do not yet have the images, the first task is to identify and download a suitable, well-labelled dataset from Kaggle. Feel free to compare a few candidates, but the final choice should give good class balance and enough samples per disease category. Once the data is in place, walk through exploratory data analysis, preprocessing, and augmentation inside a Jupyter notebook. From there, build and tune a convolutional neural network (TensorFlow / Keras or PyTorch are both fine) and report the usual metrics plus a confusion matrix so I can judge class-wise performance. When the model is satisfactory, save...

I need an options screener that ranks option chains by their gamma and vanna exposure so I can quickly spot names with outsized dealer flows. The first milestone is a Python-based dashboard that pulls real-time and historical pricing, volatility, and volume data, calculates the two greeks, and lets me sort or flag contracts accordingly. Data will come from whatever reliable feed you prefer (IBKR, Tradier, CBOE, etc.); as long as I receive clean price, IV and volume series, I’m fine. The code should be organised in modular form—think data-pull, greek-calc, and UI layers—so we can later bolt on extra filters (strike, expiration, IV skews) without a rewrite. If the screener works as intended we’ll move to two optional follow-ups: 1. A back-tester. 2. A auto tra...

I need an expert in genomic data analysis, specifically with SNP array data and GEBV modeling. Tasks include: - Data preprocessing and quality control - Statistical analysis and modeling - Visualization of results Ideal skills and experience: - Proficiency in bioinformatics tools and software - Strong background in statistics and modeling - Experience with SNP array data and GEBV modeling - Ability to create clear, informative visualizations Looking for someone detail-oriented and experienced in handling complex genomic datasets.

I need a comprehensive business thesis on the topic of supply chain management, specifically focusing on inventory control and the demand forecasting technique. Key Requirements: - In-depth analysis of demand forecasting - Application of theoretical concepts to real-world scenarios - Critical evaluation of current trends and technologies - Well-structured, academically rigorous, and original content - Proper citations and adherence to academic standards Ideal Skills and Experience: - Advanced degree in Business or Supply Chain Management - Strong research and analytical skills - Experience in demand forecasting methodologies - Proficient in academic writing and thesis development Please include relevant experience in your bids.

Important Conditions • Before awarding the project, I must discuss the work via an audio call. Messaging alone will not be sufficient. • If you are not comfortable with a call, please do not apply. • Only apply if you have your own publications or verifiable academic writing experience in AI/ML. Traders, agencies, or people without real publication experience will only waste time. • The ghostwriter must also take responsibility for assisting until the paper is successfully accepted by the target journal. • Payment will be released after acceptance of the paper. If you have a track record of publishing or ghostwriting in AI/ML, please share one or two representative samples of your published you want, I can also help you create: a much shorter version that attrac...

Our in-house search engine needs a sharp, data-driven eye to make every query deliver the right mix of products, articles, and images. I want you to analyse how users currently interact with results drawn from both textual content and rich imagery, spot the mismatches, then tune the ranking logic until relevance lifts our conversion rate. What you’ll do • Audit the existing pipeline, from query parsing to ranking, on our custom platform. • Work with mixed data (product descriptions, metadata, and image features) to understand which signals matter most for purchase decisions. • Design or refine relevance metrics and an evaluation set we can reuse for ongoing benchmarking. • Implement ranking improvements—whether that means boosting rules in Elasticse...