Science des données Jobs

Job Description We are seeking an experienced full-stack developer or development team to build a secure, AI-powered financial data visualization and document platform with strong Digital Rights Management (DRM) and semantic search (RAG) capabilities. The platform will host and stream financial documents (PDFs), allow structured hierarchical navigation, enable AI-driven discovery and summaries, and enforce strict access control to prevent unauthorized downloads or redistribution. Monetization via subscriptions and ads is a core requirement. This is a serious, long-term project requiring strong architecture, security, and AI integration experience. Core Functional Requirements Frontend (SPA) Single Page Application (SPA) 6-level hierarchical navigation: Country → Sector → Co...

To simplify paying you and communicating with you, I am looking for a coder that who located in the United States. I’m putting together a fully automated day-trading system focused on squeezing out short-term gains every session. Because speed and execution nuance are everything, I only want to work with someone who is already active in the U.S. markets—you know the quirks of pre-market liquidity, Level 2 tape action, and the maddening volatility that can erupt around economic prints. Scope The core of the project is an algorithm that scans real-time data, identifies high-probability set-ups, and triggers rapid entries and exits in both equities and the more liquid commodity contracts. The logic needs to be modular so I can swap indicators or risk parameters without rewriti...

Hiring Freelance Research Paper Writer (Academic) We are looking to hire an experienced freelance research paper writer to assist with academic research and paper development. Scope of Work Topic research and literature review Writing high-quality research papers (IEEE / Scopus / Springer / Elsevier format as required) Proper citations & referencing (APA / MLA / Chicago / IEEE) Plagiarism-free content with Turnitin report Revisions based on feedback Formatting as per journal/conference guidelines Requirements Proven experience in academic research paper writing Strong command of English (academic writing) Ability to meet deadlines strictly Experience in journals/conferences is a big plus Preferred Domains (mention if applicable) Computer Science, Engineering, Manageme...

I’m assembling the core team for a brand-new, bootstrapped startup. Funding will come later; for now I need people who see the long-term vision, crave recognition, and are ready to put real skin in the you are looking for money then dont bid. If you are looking for value for now and money later then. Welcome to the team brother and sisters. Technical minds will drive our product from zero to MVP. If you live and breathe full-stack development, can craft a rock-solid mobile app, or know how to turn raw data into insight with data science and engineering skills, your expertise is exactly what I want shaping our architecture. Creative energy is just as vital. Graphic designers, content writers, and video producers will define our brand, voice, and story across every touchpoint. From...

I want to quantify how recent advances in artificial intelligence are influencing forecasts of French GDP. I already have access to long-run historical GDP time-series and would like you to work only with that dataset for now. The task is strictly quantitative: build and compare solid économétriques models that incorporate an IA variable (or proxy) and measure its marginal effect on growth projections. You will be free to choose among standard time-series techniques—VAR, ARDL, error-correction, whatever proves statistically sound—provided the approach is fully documented and reproducible in R, Python, or Stata. Along the way, please explain every transformation, stationarity check, and specification test so that the methodology can be defended in an academic sett...

I need expert assistance in integrating AI and ML into the execution and monitoring of an oil and gas capex project. Key focus areas: - Project scheduling optimization - Cost engineering Ideal Skills and Experience: - Background in oil and gas industry - Expertise in AI/ML applications - Strong project management skills - Experience in cost engineering and financial analysis Looking for someone who can provide innovative solutions to enhance efficiency and reduce costs.

I want to replace several manual reporting routines with an end-to-end AI workflow that ingests data from our internal finance databases and live web sources, then produces clear, timely analytics for management. Reporting and analytics are the sole focus—no transaction execution—so the system must excel at pulling, cleaning, and interpreting numbers rather than booking them. We also want to compare legal documents vs term sheets and excel spreadsheets Data sources • Company databases (SQL, flat files, Excel exports) - Dropbox all our files are in drop box • Extensive web scraping for competitor benchmarks and investment-market signals If you have ideas for safely adding external financial APIs later, let me know, but the two feeds above are mandatory. - Th...

I need help with stats data analysis using excel.

I already work at an advanced level with kinetic theory, yet I want to sharpen my non-isothermal modeling skills for biomass gasification and pyrolysis. The goal is to walk through rigorous, step-by-step workflows—from selecting the appropriate kinetic scheme and choosing heating rate protocols, through parameter estimation and model validation—so that I can streamline my own research code and confidently defend the methodology in publications. Here’s how I picture the engagement: • A short series of live, screen-shared sessions (recordings provided) where you demonstrate your preferred workflow. I’m comfortable talking equations, differential mass balances, and Arrhenius-type parameter fitting right away, so please pitch the discussion accordingly. •...

I'm seeking an AI expert to automate tasks in the finance sector. Key requirements include: - Developing AI solutions to streamline finance operations - Expertise in machine learning and data processing - Experience in the finance industry is a plus Ideal skills and experience: - Proven track record in AI automation - Strong background in finance - Ability to deliver efficient, scalable solutions Please share relevant experience in your application.

We' re actively seeking a special strategic individual and proven app developer to collaborate with Encyclomedia on the creation of a next-generation, AI-enhanced platform designed to transform how media planning, audience intelligence, and performance optimization are executed in today’s data-driven environment. This is not a typical build request. It is an opportunity to co-develop (as a potential partner) a flagship product positioned for market leadership, backed by Encyclomedia’s deep expertise in media strategy, analytics, and measurable ROI. With more than three decades of experience serving blue-chip brands, agencies, and media organizations, we bring validated market demand, industry relationships, and a clear commercialization pathway. The app will integrate ad...

I am looking to develop a decision-support algorithm that identifies and ranks the best production options across locations, varieties and time windows, based on a large set of variables. The model should evaluate each option using economic factors (costs, prices, margins), agronomic performance (yield, quality, timing reliability), logistics (distance to market, transit time, reliability), and risk (climate, water, regulatory, operational). The algorithm must first eliminate non-viable options using hard constraints (e.g. feasibility, minimum thresholds), and then score and rank the remaining options using a weighted, configurable logic that produces a single comparable score per option. The goal is not pure prediction, but a transparent and scalable optimization engine that supports bett...

I want an Android app that SIMULATES crash game behavior for PROBABILITY ANALYSIS purposes. Requirements: - Simulated crash rounds based on probability models - Streak & volatility analysis - Auto-generated signals (Low / Medium / Avoid) - Target outcome accuracy around 75%

I need AI trainer. The goal is to arrive at production-ready machine-learning models. You will receive full access to the data, a brief describing the business context behind each task. What matters most is a clear, well-documented workflow: data cleaning, feature engineering, model selection, hyper-parameter tuning, cross-validation, and benchmark reporting. I also need concise guidance notes so my in-house team can rerun or extend the work later. Deliverables • Trained model files saved with versioning and clear naming • A short report (PDF or Markdown) summarising methodology, metrics, and next-step recommendations I’ll be available for quick feedback cycles and can spin up extra compute if needed. Let’s turn this diverse data into smart, reliable insights.

I need a professional to create a modern and ATS-friendly resume and cover letter tailored for a mid-level Data Scientist position. Requirements: - Resume for IT/Data Science/Software field - Highlight my skills: Python, SQL, Power BI, Excel - Add internship/project details - Format should be clean, professional, and easy to edit - Delivery in Word and PDF Soft Skills to Emphasize: - Communication - Problem-solving - Teamwork Ideal Skills and Experience: - Proven experience in resume writing for tech roles - Familiarity with ATS requirements - Strong understanding of data science industry and job requirements - Excellent writing and formatting skills

I’m wrapping up my final-year project and need an AI module that can generate truly personalized workout plans. The focus is narrow and clear: every plan must be driven by the user’s stated fitness goal of “improving overall fitness.” I’m not looking for real-time form feedback or progress analytics at this stage—just rock-solid plan generation that feels tailored, practical, and evidence-based. Here’s the flow I have in mind. A user enters basic profile data and selects “Improve overall fitness” as a goal. Your algorithm interprets that goal, selects appropriate training modalities, adjusts intensity and volume to suit beginner through intermediate levels, and outputs a structured weekly routine (exercises, sets, reps, rest, and optio...

Responsible for initiating the implementation and application of Data Science strategies to enhance company results. Some of the projects developed: - Time Card Information Extraction Automation via OCR Developed an OCR pipeline to automatically extract and process information from time cards and integrate it into the company's system; Reduced processing time and minimized manual errors in employee time management; - Intelligent Chatbot for Internal Support Modeled an intelligent chatbot trained on the company manual, utilizing LLMs with optimized prompts, Transformer-based architecture via Hugging Face, RAG (Retrieval-Augmented Generation) approach, Redis for context caching, and Gunicorn as the application server for production; - Inventory Prediction and Purchasing Optimization...

I have a research paper in development and want to elevate it to publication-ready quality. I’ll provide you with the current manuscript, my notes, and any supporting data; what I need back is a version that reads clearly, is backed by up-to-date sources, and meets the formatting and citation standards of high-impact journals.

Bahasa Melayu Report Urgent Task MPU

I’m looking for an expert who can handle STATA confidently for data analysis and explain the results clearly. Payment will be fixed, and if things go well, there can be more work in the future. If you have solid STATA experience, please get in touch.

I’m putting together an in-depth research paper that zeroes in on Natural Language Processing, the branch of Artificial Intelligence that fascinates me most. The goal is to map today’s NLP landscape—key breakthroughs, leading algorithms, emerging applications, and the challenges still standing in the way of real-world deployment. Here’s what I need from you: a well-structured document (roughly 4,000–6,000 words, though quality trumps length) that pulls together peer-reviewed studies, recent conference papers, and reputable industry white-papers published within the last three years. Please weave in clear explanations of transformer-based architectures, the progression from BERT to large language models, and any notable advances in multilingual or low-resource...

Freelance R Expert Needed: Advanced Signal Processing for Maternal, Fetal & Neonatal Health We are seeking a senior R scientist with deep experience in audio / seismic data, wavelet methods, and Bayesian modeling to help demonstrate that R is just as good as Python at surfacing early physiological health markers. This role is for someone comfortable working below the noise floor—where the signal of interest is subtle, nonstationary, and embedded in the mechanics of living systems. What you’ll work on 1. Signal conditioning & noise removal • Design and evaluate signal conditioning pipelines for low-amplitude physiological data • Implement filtering strategies to remove mains contamination (50/60 Hz and harmonics), including: o Notch / comb filters o Adaptive ...

I'm seeking an experienced fractional CTO to guide our machine learning initiatives. We have a ready-to-use dataset and need assistance with: - Model Development: Designing and building ML models. - Data Preprocessing: Preparing data for optimal model training. - Performance Tuning: Enhancing model accuracy and efficiency. Ideal Skills & Experience: - Expertise in Machine Learning - Proven track record in model development - Strong data preprocessing skills - Experience in performance tuning of ML models - Leadership experience in tech projects Looking for someone to ensure our project is on the right path and achieves its goals efficiently.

I’m looking for an expert who can handle STATA confidently for data analysis and explain the results clearly. Payment will be fixed, and if things go well, there can be more work in the future. If you have solid STATA experience, please get in touch.

I’m looking for an experienced STATA software expert to assist with data analysis. The freelancer must be skilled in STATA and deliver accurate work on time. Budget is fixed. This may turn into long-term work if performance is good. Please send a brief intro and your STATA experience.

I'm looking for an experienced Python teacher specializing in advanced programming and machine learning. Essential requirements: - Expertise in Python, especially in machine learning - Ability to explain complex concepts clearly - Experience with popular ML frameworks (e.g., TensorFlow, PyTorch) - Flexible scheduling to accommodate my learning pace If you have a strong background in these areas, please apply!

I will share a raw table of laboratory-measured water-quality parameters (pH, turbidity, dissolved oxygen, heavy-metal readings and several others). Using those records I want to end up with a supervised, decision-tree-based solution—specifically a Gradient Boosting model—that predicts overall water quality with the highest possible accuracy. Here is what I need from you: • Inspect and clean the dataset, handling outliers, missing values and inconsistent units. • Explore feature importance and, where helpful, create additional engineered features. • Train and fine-tune a Gradient Boosting decision-tree model (scikit-learn, XGBoost or LightGBM are all acceptable) with solid cross-validation. • Compare its performance against at least one other tree-ba...

I need a secure, 3rd party verification of AI performance analytics by a qualified technician for a private venture. All is prepared and ready for the verification. Currently, looking for an hourly rate since it’s verification. Once this step is verified and complete the opportunity may proceed if the verification technician is interested in providing further assistance. TBD.

At I am expanding an internal project that explores fresh ideas in machine learning and need an intern who can jump straight into the research cycle—formulating hypotheses, building quick prototypes, running experiments, and summarising insights for the team. What you will do • Survey recent ML literature that aligns with our roadmap • Design and execute experiments to test new model architectures or training tricks • Record results, visualise them clearly, and explain the “why” behind the numbers • Iterate on your findings until we have a result worth integrating into production-grade code What you should bring Your application only needs to highlight relevant experience, but that experience must show strong analytical and problem-solving...

Hello, I am looking to work with an AI Research & Automation Specialist who can help me build an AI-driven system for structured data discovery, intelligence mapping, and decision-maker identification. This is not a traditional sales or manual research role. The focus is on using AI tools, prompt engineering, and automation to extract, structure, and continuously improve high-value data with minimal human dependency. Due to the nature of the data involved, the selected individual must be willing to work under a formal contract with strict data confidentiality and non-disclosure obligations. Core Objective To design and operate an AI-powered intelligence workflow that can autonomously discover, organize, and prioritize: * Government and public-sector engineering authorities * Infrastr...

I’m running a research-grade study on how different transfer-learning strategies affect deep-learning image-classification accuracy and efficiency, and I’d like a PyTorch expert to help me turn the experimental plan into clean, reproducible code and an insightful report. Here’s what I need from you: • A well-structured PyTorch pipeline that can load a few supplied image datasets, swap in multiple pretrained backbones (e.g., ResNet, EfficientNet, ViT) and fine-tune them under several common strategies (feature extractor, full fine-tune, layer-freezing variants). • Training scripts or notebooks with clear logging of hyper-parameters, metrics, and run times so results are comparable across experiments. • A concise written analysis summarising finding...

I need a skilled analyst who can dive into my sales data and surface clear, time-based trends using a mix of SQL and Python. The raw figures sit in a relational database; from there you’ll write efficient SQL queries, pull the results into Python (pandas, NumPy, SQLAlchemy), tidy everything, then explore daily, weekly, and monthly patterns. Visualisations in matplotlib or seaborn and a concise written summary (PDF or Jupyter Notebook) will round out the story so stakeholders can quickly grasp how revenue is evolving and where seasonality or anomalies appear. Deliverables • Well-commented SQL scripts that reproduce the dataset • A Python notebook (or .py script) with all transformation and analysis steps • Three to five clear charts illustrating sales trends over...

I’m building a production-ready platform that lets professional travel agents deliver smarter, faster service to their clients. The core of the product is an AI layer that does two things exceptionally well: • surfaces the very best lodging and airfare deals through real-time price tracking and cross-platform comparison, and • assembles fully personalised itineraries that include curated local attractions and an hour-by-hour daily schedule. Here’s what I need from you: Architecture & Data – Connect to major GDS and OTA APIs (Amadeus, Skyscanner, , etc.) and stream prices continuously. – Design a pipeline that normalises the data and feeds an ML model for deal scoring. – Implement efficient caching so agents always see fresh yet light...

I’m looking for help with a technical paper review assignment for a university course. The task is to write a survey-style technical review of one ACM research paper. The review must strictly follow the ACM paper structure and include all sections, including the references. Key requirements: * Read the assigned ACM paper carefully * Write a technical review / survey paper (8–10 pages) * Use the same sections as the original ACM paper (Abstract, Introduction, Related Work, Methodology, Experiments, Results, Discussion, Conclusion, References, etc.) * Rewrite everything in original wording (no copy-paste) * Provide analysis and critical discussion, not just summary 
The first paper to review is:
 Deadline is 10 February (full instructions will be shared this week). Please let me ...

I am building an enterprise-grade Legal AI SaaS platform that must reliably answer region-specific legal questions across all of India, with an initial focus on Corporate Law and Intellectual Property Law. The core of the product is a Retrieval-Augmented Generation (RAG) pipeline that draws exclusively from verified Indian Supreme Court and High Court judgments, returns inline citations, and resists hallucination. What I need now is a senior, hands-on AI engineer who has already shipped production RAG systems. Your first milestone will be to design and implement the end-to-end retrieval and generation stack—ingest, indexing, querying, ranking, and grounded response generation—so that lawyers receive authoritative, citation-rich answers in real time. Key expectations • ...

I’m starting from scratch and need an experienced Python developer with a solid AI background to design and build an automation solution from the ground up. The core objective is simple: turn time-consuming manual work into an intelligent process that runs on its own. Because I don’t yet have data or legacy tools in place, we’ll define the workflow together, identify what information needs to be gathered, and then create the logic, models, or rule-based components that best fit. You’ll have full freedom to choose the right libraries—whether that’s TensorFlow, PyTorch, scikit-learn, spaCy, or a leaner approach using pure Python—so long as the end result is reliable, maintainable, and easy for me to extend later. Deliverables 1. Brief discovery c...

The Role (What This Actually Is) Cleo is building an AI employee platform — software that deploys autonomous, role-aware AI workers inside real businesses. We are looking for a hands-on Builder CTO who can: Architect the platform Write production code Design AI agent systems Own infrastructure end-to-end Make fast, opinionated technical decisions This is not a people-management role (yet). This is a first-principles engineer role with founder-level responsibility. If you like shipping systems yourself and hate bureaucracy, you’ll love this. What You’ll Build You will personally design and build: An AI employee runtime (agents, tools, memory, permissions) RAG + knowledge systems (documents, APIs, live data) LLM orchestration (model selection, routing, evaluat...

Digital Health Record Usability Analysis I’m coordinating a post-implementation evaluation of a new digital health record that now has 600 active users. My goal is to understand their acceptance of the system and the factors that drive—or hinder—perceived usability.I need the help for completing my project work The plan is to gather fresh data through two structured approaches: an online survey distributed to the full user base and a series of short, semi-structured interviews with a representative subset. Once data collection is complete, I need the results fed into a predictive analytics workflow to surface the strongest determinants of acceptance (think logistic or multinomial regression, decision trees, random forests—whatever techniques best fit the data). ...

I have a comprehensive collection of customer data and my priority is to turn it into a reliable model that can predict upcoming customer trends. The raw information covers the whole spectrum of what we track—transaction history, on-site behaviour, social engagement and any other fields stored in our CRM. Everything will be shared in its original format so you can dive straight into exploration. What I need is a complete analytical workflow: data cleaning, feature engineering, exploratory insights and, most importantly, a predictive model that flags patterns worth acting on. I am comfortable with you choosing proven tools such as Python (pandas, scikit-learn), R, SQL or similar; visual output in Tableau or Power BI is welcome if it speeds up interpretation. Deliverables • A ...

We are hiring Subject Matter Experts (SMEs) for a global EdTech platform to contribute to technology-focused online courses. Responsibilities: 1. Review and validate course content (outlines, readings, assessments) 2. Contribute to labs, projects, and hands-on activities 3. Ensure technical accuracy and clarity 4. Review all course content 5. Record training videos (35–45 minutes per course) remotely Requirements: 1. 5+ years of professional experience in the relevant domain 2. Strong communication and presentation skills 3. Prior teaching/training experience preferred Engagement: 1. Duration: 3–6 months per course 2. Remote work, flexible schedule 3. Milestone-based payouts Each SME can contribute to up to 5 courses What We Need From You ● Updated Resume (latest version) ...

I need ten peer-review–ready research papers, each formatted exactly as a professional Computer Science journal submission. Every manuscript will be a literature review, not new experimental work, and the topics are evenly distributed across Artificial Intelligence, Cybersecurity, and Data Science. Here is how I picture the workflow: • For every paper you will identify, read, and synthesize current, high-impact publications (preferably the last five years) to map trends, gaps, and future directions. • The finished text must follow standard journal structure—abstract, introduction, methodology of the review, discussion, conclusion, references—using IEEE or ACM style; please prepare in LaTeX or Word and include a clean PDF export. • Reference management...