Data Science Jobs

Natafuta mtaalamu anayeweza kujenga kipengele cha AI kinachotambua lugha moja kwa moja kutoka kwenye maandishi. Lengo langu ni kupata mfumo mwepesi wa kuingiza kipande cha maandishi na kupokea majibu sahihi ya ni lugha gani imetumika. Niko wazi kwa mbinu zozote bora—iwe ni kutumia Python na maktaba kama spaCy, FastText, au modeli zilizofundishwa tayari za Transformer—mradi matokeo yawe sahihi na yapatikane kwa muda mfupi. Ikiwa una suluhisho la kutumia API zilizopo (mfano Google Cloud Translate au Amazon Comprehend) pia niko tayari kulizingatia, bora gharama zisiwe kubwa kupita kiasi. Ninahitaji: • Kanuni (source code) iliyoandikwa kwa usafi, ikifuatwa na maelezo mafupi ya jinsi ya kuiendesha. • Mfano wa faili ya kujaribu (demo script au notebook) inayoonesha utam...

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...

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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...

Our Intercom inbox relies on FIN AI, yet too many chats still reach human agents. After digging into the analytics I’m convinced the root cause is the accuracy of the answers FIN serves, not the UI or core algorithm. I need an expert who can turn better training data into sharper, more dependable responses so customers self-serve more often. Here’s what I’m looking for you to do: • Audit recent conversation logs and the existing FIN knowledge base to pinpoint coverage gaps and misleading examples. • Curate or create high-quality, well-structured training data that directly addresses those gaps—think clarified FAQs, edge-case scenarios, and fresh intents drawn from real chats. • Prepare the dataset in the format Intercom accepts and guide (or h...

I'm looking for Mathematics and Biomedical research expert and engineer to help out with project ideas and execution.

We are looking for an Engineering Mathematics research expert for mathematical science projects. If you have the experience in areas of mathematical combined with sciences such as biomedical and engineering research project skills. This is a perfect match if your have several research published in researchgate.

More details: Which deep learning framework do you prefer for this project? TensorFlow Do you have a preferred dataset for brain MRI image segmentation? Please use a publicly available dataset Which style of output visualization do you prefer? 2D slices with segmentation overlay

I’m building a research-grade quantum simulator in Python and need a robust codebase that can accurately model multi-qubit circuits, apply standard gate operations, and return state-vector or density-matrix outputs. Whether you prefer to work directly with NumPy/SciPy or leverage existing open-source frameworks such as Qiskit, Cirq, or QuTiP is completely up to you; the key requirement is clean, well-documented code that runs reliably under Python 3.11. Please provide: • A modular simulation engine capable of handling at least 10-15 qubits, with optional noise or decoherence modelling • A clear, Pythonic API for defining circuits, executing simulations, and extracting results (probabilities, expectation values, etc.) • Unit tests plus a concise README that cover...

I have several raw datasets that need to be transformed into clear insights I can act on. Because the data spans different business areas, I’m open to whichever analytical approach—descriptive, predictive, or prescriptive—you believe will unlock the most value. Here’s what I’d like to walk away with: • A clean, well-structured dataset that documents every transformation step • An analysis that highlights key patterns, outliers, and actionable trends • Visualisations and a brief write-up summarising findings, assumptions, and recommended next steps Please outline the method you would apply, the software stack you’d choose, and any clarifying questions you have about the data’s shape or source. Once we agree on scope, we can bre...

I have already deployed a full Streamlit application that predicts loan approvals in real time (live demo: , source: ). The pipeline currently includes Logistic Regression, K-Nearest Neighbors, and Naive Bayes models with standard scaling and the usual EDA-driven feature engineering. What I want now is a measurable lift in overall model performance, with the F1-score as the guiding metric. Feel free to explore more advanced algorithms (e.g., Gradient Boosting, XGBoost, LightGBM, calibrated ensembles, or even a tuned version of my existing classifiers) as long as they integrate cleanly with the existing Python | Pandas | NumPy | Scikit-learn stack and can be surfaced through the current Streamlit front-end. Key points you should address • Re-examine preprocessing and feature sele...

Tafadhali Jisajili ama Ingia ili kuona maelezo.

Dazzx is moving beyond simple template filtering toward a genuine Creative Layout Intelligence Engine. The platform’s canvas already renders static JSON designs; what is missing is the brain that, from three user inputs—uploaded assets, a short marketing prompt, and the chosen design size—can suggest the three strongest advertisement layouts out of a library of 10,000-plus templates. The assignment is to build that brain. The workflow I have in mind is: • Parse and understand the marketing prompt, extracting intent, tone, and any product cues. • Match those insights against our tagged template corpus, scoring each layout on visual hierarchy, probable asset fit, and relevance to the prompt. • Return the top three candidates as Fabric-compatible JSON, ...

Here are some important exam details: Logistics: You will have the full 90 minutes to complete the exam. No Cheat Sheet/Calculators: The exam is closed-book, and no sheets are allowed. You will not need a calculator for the exam, as most questions are conceptual or will not require much calculation. As such, calculators are not allowed. Format: The exam will consist of multiple-choice (with no partial credit), short answer, and long form answer questions. Content: Modules 1-9 (see below for module names) from the beginning of the semester up to and including this Thursday's lecture (2/19) will be included on the exam (each module will be represented approximately evenly, and we will mainly focus on the content in the HWs and lectures). Module 1: Intro to Big Data Analytics Modu...

I need an application that leverages AI to analyze market research survey data. The primary aim is to gauge public sentiment on social issues and government policy. Key Requirements: - Analyze survey responses - Identify key findings - Generate a report on ppt format with data visualization Ideal Skills and Experience: - Proficiency in AI and machine learning - Experience in data analysis, especially with survey data - Knowledge of sentiment analysis techniques - Ability to build user-friendly applications Looking for freelancers who can deliver accurate and actionable insights efficiently. Preferrably based in Singapore to facilitate face-to-face interactions.

GIS Technician – QGIS/ArcMap (Land Survey / Development Plan, Forestry & Carbon Data Production) Project Overview I am a Registered Professional Forester (RPF) looking for a reliable GIS Technician to assist with ongoing data production for forestry and carbon sequestration projects. I will provide the methodology, analysis parameters, and source data; I need a technical expert to execute the digitization, georeferencing, and file management. Scope of Work Georeferencing: Accurately georeferencing PDF maps, historical survey plans, and aerial imagery. Digitizing: Creating clean, topological vector data (polygons/lines) from georeferenced sources (e.g., woodlot boundaries, stand types, watercourses). Attribute Management: Populating attribute tables according to specific forest...

Overview We are hiring 3 experienced Data Scientists to participate in a structured data challenge as part of a paid engagement. This is not a generic Kaggle-style competition. You will be exploring an AI-native data platform, analyzing real-world event data, and submitting a structured, reproducible project. If selected, you’ll be compensated for your participation and submission. What You’ll Be Doing Explore a new AI-powered data workspace Analyze user behavior/event data Define your own success metrics Build insights using statistical/ML techniques Submit: A complete reproducible data project A written summary explaining methodology and findings A public project link You will be working individually. Ideal Candidate We’re looking for someone who: Has basic under...

Saya ingin menjalankan proyek pengembangan keterampilan dengan fokus khusus pada Analisis Data. Tujuan utama saya adalah membangun pondasi yang kokoh sekaligus memperdalam praktik terbaik sehingga produktivitas, profesionalisme, dan efisiensi kerja meningkat secara nyata. Ruang lingkup yang saya butuhkan: • Penyusunan kurikulum ringkas namun terstruktur mencakup statistik dasar, eksplorasi data, hingga visualisasi. • Materi pembelajaran yang mudah dipahami—slide, catatan singkat, serta contoh kode—menggunakan alat umum seperti Python (pandas, matplotlib) atau SQL, sesuai kebutuhan. • Sesi praktik berbasis studi kasus nyata agar saya dapat langsung menerapkan teknik cleansing, analisis, dan interpretasi hasil. • Penugasan singkat dengan umpan balik ter...

Saya mengelola usaha sembako yang menjual berbagai kebutuhan pokok—beras, gula, minyak, telur, dan barang harian lainnya. Saya ingin membangun sebuah sistem rekomendasi berbasis AI agar setiap pelanggan mendapatkan saran produk yang paling relevan setiap kali berbelanja. Kebutuhan utama • Fokus pada rekomendasi produk, bukan konten atau pengguna lainnya. • Pendekatan awal menggunakan Collaborative Filtering; jika diperlukan, Anda boleh mengusulkan teknik pendamping guna meningkatkan akurasi. • Model harus mampu belajar dari pola transaksi historis toko ritel sembako. Cakupan pekerjaan 1. Merancang dan melatih model Collaborative Filtering (matrix factorization atau metode sejenis). 2. Menyiapkan pipeline sederhana untuk memproses data penjualan harian (CS...

I’m sitting on a sizeable finance dataset and need more than a retrospective look—I want clear, data-driven guidance on what to do next. The first step is a concise summary of the historical numbers so we can anchor the conversation; from there, the real focus is prescriptive analysis that translates those patterns into actionable recommendations. You’ll clean and explore the data, highlight the key historical insights, then build an optimization or scenario-based model that prescribes concrete actions (e.g., portfolio rebalancing, cost-cutting levers, revenue-boost initiatives). Python with pandas, NumPy, scikit-learn—or R with tidyverse—is fine as long as the workflow is fully reproducible and the logic is transparent. Deliverables • Cleaned dataset...

Senior Data Scientist / Lead Search Engineer for Local Algorithmic Optimization (Ukraine) Senior Data Scientist / Lead Search Engineer for Local Algorithmic Optimization (Ukraine) Job Description I am looking for a high-level Data Scientist or Computer Engineer to lead a technical SEO project focused on Google Maps optimization for the Ukrainian market. This role requires an expert capable of performing deep algorithmic analysis and building custom automation tools. Core Objectives Algorithm Reverse-Engineering: Identify specific ranking correlations within the Google Maps ecosystem using statistical modeling. Geospatial Data Analysis: Map and optimize business visibility radiuses across various Ukrainian regions. Automation Development: Build and maintain Python-based scripts for da...

I am building a cloud-hosted SaaS platform that puts data science, IoT, and blockchain directly in the hands of farmers through Android and iOS apps. The service must feel as comfortable to a first-time user as it is powerful for a seasoned agronomist, so every screen and workflow should be fully customizable rather than locked to a single layout. Core scope *Soil health management: analytics dashboards fed by lab results or in-field sensors, complete with actionable recommendations. *Climate forecasting: Farmers to get live climate notification on rains, sunny day and etc. *Multilanguage support: SMS alerts, Notifications, customer data management with details like name, mobile no. , latitude, longitude, area of the crop etc. Those three features are my highest priorities, but the...

**HIRING: PROFESSIONAL GHOSTWRITER – TECHNICAL CONTENT (Exploratory Data Analysis (EDA))** We are seeking a highly reliable and experienced ghostwriter to transform structured outlines into a clear, authoritative, and engaging 13-page manuscript in MS Word format. This material will be circulated privately; therefore, precision, professionalism, and confidentiality are mandatory. --- ### PROJECT OVERVIEW The manuscript will focus on: **Exploratory Data Analysis (EDA)** Coverage must include: *Understanding dataset structure and metadata * Univariate, bivariate, and multivariate analysis * Correlation, covariance, and relationships among variables * EDA workflows and case studies using real datasets The tone must be authoritative yet accessible, technically accurate, and free ...

I need a predictive analysis on a mixed data set. The goal is to predict next day's mood based on today's social media usage. Key Requirements: - Analyze survey data on mood and social media hours - Use predictive modeling techniques - Provide clear, actionable insights Ideal Skills and Experience: - Expertise in predictive analysis - Proficiency with mixed data sets - Strong background in data interpretation and reporting I'm looking for a freelancer who can deliver accurate predictions and insights.

We are setting up high performance computing system and low latency trading platforms. We need someone for developing effective trading algorithms, having knowledge of programming and a deep understanding of market dynamics. please quote.