데이터 과학 Jobs

I am building a research-grade pipeline that focuses first and foremost on Diabetic Retinopathy (DR) grading, while keeping an eye on downstream extensions such as DME detection, retinal biomarker discovery, longitudinal modelling, cross-dataset generalisation and explainable retinal AI. Data at hand • Thousands of colour fundus photographs sourced from OLIVES, MMRDR and my own curated set. • Structured patient medical history accompanying a subset of those images. Core objectives 1. Train and validate a model that assigns the correct severity level to every DR image. 2. Surface early-stage indicators that could alert clinicians before conventional thresholds are reached. 3. Provide per-patient progression tracking so that sequential visits can be plotted and foreca...

We are actively looking for Freelancing Technical Mentors & Delivering Sourcing Partners Professionals for upcoming projects across India. Technology Domains: Full Stack Development , Java , Python DSA Data Science Cloud Computing, AWS, Azure AI / ML Cybersecurity VLSI, Informatica ,Snowflake, Aptitude Emerging Technologies and more .... Who can apply? 1. Industry experts with strong hands-on experience mentors with good communication skills professionals open to mentoring assignments Location: PAN India Note: Trainers willing to travel and project about 20 to 30 days.

We’re Hiring! Data Scientist | The Red Arc Location: Remote We’re looking for a passionate Data Scientist with 0 to 1 years of experience to join our growing team at The Red Arc. If you enjoy working with data, uncovering insights, and building intelligent solutions that drive better decisions, this opportunity could be a great fit. What we’re looking for: 0 to 1 Years of experience Degree in BE, BTech, BSc, MSc, or a related field in Computer Science, Data Science, Statistics, or Mathematics Strong foundation in Python, SQL, and data analysis Experience with data visualization tools such as Power BI, Tableau, or similar Familiarity with machine learning concepts and libraries like Pandas, NumPy, Scikit-learn Understanding of data cleaning, feature engineering, and mode...

25. 1、 Title: Research on an Explainable Model of the Impact of Intracranial Artery Plaque Characteristics and Burden Based on High-Resolution Vessel Wall Imaging on Cerebral Tissue Perfusion(Need to combine information)  2、 Journal partition: SCI q2 3+OA journals 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 ensu...

I have a fresh operational dataset from a client and need clear, defensible trend insights built inside Altair AI Studio. The goal is to walk into our next steering-committee meeting with visual evidence of how key operational metrics are moving over time and what that means for capacity planning. You will: • Import the raw CSV/XLSX files into Altair AI Studio, set up a clean, commented workflow, and document every transformation step. • Explore and prepare the data Acceptance criteria • All analyses run end-to-end inside Altair AI Studio without external scripts. • Charts are labeled, legible, and exportable at 300 dpi. • Insights answer the “what’s changing and why might it matter?” question for at least three core KPIs. • Wor...

I'm seeking an expert in systematic reviews for guidance on conducting a review with limited studies. Key areas: - Feasibility of conducting a systematic review with only one study - Evaluating intervention effectiveness - feasibility of conducting a systematic review and narrative synthesis Ideal skills and experience: - Expertise in systematic reviews - Experience with limited data sets - Strong analytical skills

Busco ofrecer servicios de evaluación de crédito para personas, utilizando inteligencia artificial y comunicación vía WhatsApp para optimizar el proceso. Mi enfoque está en entregar resultados claros y precisos, destacando cómo la IA ha mejorado mis evaluaciones anteriores. Ideal para alguien con experiencia en análisis de datos, microcréditos y uso de herramientas digitales innovadoras. Busco profesionales que se enfoquen en aportar resultados efectivos y confiables para mis clientes.

Assignment Description This assignment will allow you to apply the principles of data visualization to a real-world dataset. You will have to create a scatterplot and then interpret your graph. Dataset: Diamond Download Diamond prices.xlsx. This dataset contains multiple variables related to diamonds and their characteristics that you can analyze and visualize. Instructions Your task is to visualize with a scatterplot a potentially interesting relationship between two variables that is worth visually exploring. Scatterplot Creation Using the dataset provided, create a scatterplot that represents the relationship between diamond carats and prices (in USD). As there is a huge number of registers, let’s apply some filtering to plot just the best diamonds included in the...

Assignment Description This assignment will allow you to apply the principles of data visualization to a real-world dataset. You will have to create a scatterplot and then interpret your graph. Dataset: Diamond Download Diamond prices.xlsx. This dataset contains multiple variables related to diamonds and their characteristics that you can analyze and visualize. Instructions Your task is to visualize with a scatterplot a potentially interesting relationship between two variables that is worth visually exploring. Scatterplot Creation Using the dataset provided, create a scatterplot that represents the relationship between diamond carats and prices (in USD). As there is a huge number of registers, let’s apply some filtering to plot just the best diamonds included in the...

I need a model for predicting the success of bariatric surgery in adolescents with diabetes using parameter estimation. The model should be based on clinical data. Data Available: - Clinical data: Medical history, Laboratory results - Preferred methods: Combination of statistical analysis and machine learning Ideal Skills: - Expertise in statistical analysis and machine learning - Experience with clinical datasets - Strong background in medical data interpretation

I need a Python-based algorithm to assist with trading NSE options using real-time market data. Key Requirements: - Optimize trading strategies - Implement risk management Ideal Skills and Experience: - Expertise in Python - Experience with real-time market data - Strong background in options trading and algorithm development - Ability to create predictive models and optimize trading strategies Please provide a portfolio of similar work.

I’m expanding a successful three-year program that pairs senior global talent with high-paying US software positions, and I need experienced engineers who can step into live technical interviews on behalf of our candidates. You’ll join calls, showcase deep expertise, and help secure offers; once a role is landed you receive a share of the ongoing salary—commissions can reach 70 %, and you may handle several roles at the same time for compound earnings. What you’ll do • Conduct technical and system-design interviews for roles across full-stack, AI/ML, data-science, and gaming domains, adapting your answers to each client’s stack. • Coordinate with our support team; we handle identity verification and provide the clean remote environment you need ...

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.

**HIRING: PROFESSIONAL GHOSTWRITER – TECHNICAL CONTENT (Probability Theory and Inferential Statistics)** 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: **Probability Theory and Inferential Statistics** Coverage must include: Population vs. sample, Probability basics and probability distributions, Introduction to inferential statistics: hypothesis testing, confidence intervals, Importance of statistical thinking in data science The tone must be authoritative yet accessible, technic...

**HIRING: PROFESSIONAL GHOSTWRITER – TECHNICAL CONTENT (Correlation and Regression )** 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: **Correlation and Regression** Coverage must include: Correlation- Karl Pearson’s Correlation Coefficient, Rank Correlation, Correlation Coefficient for Bivariate Frequency Distribution, Regression- Regression Coefficients, Fitting of Regression Lines. The tone must be authoritative yet accessible, technically accurate, and free of unnecessary ...

I’m building a browser-based platform that serves up personalised meal ideas for users who want to gain muscle while sticking to a vegan, high-protein diet. The core of the product is an AI engine that pulls from nutrition databases, filters out anything non-vegan, then ranks the remaining recipes for protein density and overall macro balance. Each suggestion must arrive with a full nutrition label, ingredient list, and concise preparation steps. Here’s what I need from you: • A responsive front-end (React or similar) where users answer a few questions, save favourite meals, and adjust serving sizes. • A back-end service that hosts the recommendation model, queries an open nutrition API, and returns results in under two seconds. • The machine-learning logi...

I need an engineer who already knows their way around the API well enough to move beyond simple pulls and actually manipulate the data in-flight. My immediate objective is to ingest large streams of stock-market quotes, on-chain cryptocurrency metrics, and FRED macro-economic series, reshape them as needed, and then run clean Pearson correlation studies that I can query on demand. A working site is already created with NextJS/Supabase/Vercel, but I need help taking it to the next level and also hosting it in a budget friendly SQL provider. 2M+ rows of data. More details will be provided if interested. Looking to work with solo engineers not teams or agencies. Thank you!

I have a clean, ready-to-use dataset and now need a complete predictive analysis pipeline built around it. The job is straightforward: take my data, explore it, engineer the right features, train and tune an appropriate model, and hand back production-ready code that I can rerun whenever new records arrive. Python is my preferred language, and I’m comfortable with common libraries such as pandas, scikit-learn, XGBoost, TensorFlow or PyTorch—feel free to choose whichever stack best fits the problem once you’ve inspected the data. Please keep everything reproducible: a single script or notebook, a clear , and comments that explain why each step was taken. Acceptance criteria • End-to-end code executes without errors on my machine. • Model delivers a measurab...

I have a curated set of roughly 700 post-operative periapical X-rays taken after root canal treatments by dental students. I need a computer-vision model, built in Python with TensorFlow or PyTorch, that can automatically assess each case and return two outputs: • a numeric score that can be used in our grading spreadsheet, and • a concise feedback report highlighting strengths and mistakes. The evaluation must cover the accuracy of the root-canal pathway, cleanliness of the treated area, and overall completion quality. I will provide a detailed rubric with additional sub-criteria so the model can translate radiographic findings into tutor-style comments. Your job is to design, train, and validate the model, then package an inference script that accepts a single X-ray or...

I have an end-to-end analytics initiative already planned and need a seasoned Dataiku specialist to drive the Development and Implementation phase. The high-level design is approved; now the focus shifts to building the flows, automating data pipelines, and operationalising the project so it can move smoothly toward deployment. You’ll work directly in my existing Dataiku instance to: • Translate the approved design into fully functioning recipes and visual flows. • Configure datasets, prepare and wrangle incoming data, and set up any required connections—SQL, flat files, or APIs—depending on what proves most efficient. • Prototype, train and validate models inside Dataiku’s visual Lab, then package them into reusable, production-ready scenarios. ...

We are hiring highly skilled professionals to evaluate AI-generated artifacts for a large-scale AI quality initiative known as “Project Hawk.” This is NOT traditional software development work. The role focuses on evaluating the quality, usability, visual polish, structure, and editability of AI-generated outputs across multiple domains including: * software engineering artifacts * UI/UX and design systems * presentation materials * spreadsheets and documents * multimodal and computer vision outputs Compensation: • Approx. $75/hour • Flexible task-based work • High performers may scale to substantial weekly earnings depending on task availability and quality Open Specializations: 1. Software Engineering Evaluators 2. UX/UI & Visual Design Evaluators 3. ...

I need a RapidMiner practitioner who can run a focused two-hour online workshop for an audience of advanced users. The first hour will cover a quick orientation to the platform, then dive straight into data preparation and transformation techniques before moving on to building and evaluating predictive models. Please keep theory light and demonstrations practical: I want to see complete, working workflows rather than slide-only explanations. During the second hour we will shift to a live, end-to-end business case. You may choose any realistic scenario, but it must showcase both the data prep and the model evaluation stages so participants can see best-practice operator chains, parameter tuning, cross-validation, and interpretation of results in real time. Throughout the session, encourage...

I’m providing the classic Titanic passenger data in a single, well-structured CSV / Excel file and I want a solid machine-learning pipeline that predicts who survived the voyage. I’m not entirely sure how “clean” the file is—some columns might have missing values or inconsistencies—so your first step will be a quick exploratory pass and any essential preprocessing (handling nulls, encoding categoricals, feature scaling, sensible train-test split). Once the data is in good shape, build and tune at least one supervised model (feel free to compare options such as logistic regression, random forest, gradient boosting, or XGBoost) and report the performance with clear metrics—accuracy plus precision/recall or AUC would be ideal. Deliverables • ...

I need a fully working supervised learning model built from scratch, trained on my data, and delivered with clean, well-commented code. Although the focus is supervised learning, I also want to explore a clustering approach for initial data exploration and feature engineering, so the workflow should accommodate both phases gracefully. Here’s what I expect: • A brief, plain-English plan outlining the supervised objective (classification or regression, as appropriate once we review the dataset) and how clustering will support data insights. • End-to-end code in Python, preferably using scikit-learn, pandas, NumPy, and (if deep learning proves beneficial) TensorFlow or PyTorch. • Reproducible training pipeline: data loading, preprocessing, feature engineering, model...

I need a supervised learning model built from the ground up. You will take my raw data, handle preprocessing, select and justify the algorithm, train, tune, and deliver a production-ready model with accompanying Python code (TensorFlow, PyTorch, or scikit-learn are all acceptable). Your proposal should focus on your relevant experience with similar supervised learning projects—please highlight datasets you have tackled, algorithms you excel with, and any deployment or MLOps know-how. No lengthy sales pitches; I want to see evidence that you can translate business objectives into high-performing, explainable models. Deliverables • Clean, well-commented source code and notebooks • Reproducible training pipeline • Evaluation report covering accuracy and at least one...

If you are a physics or cosmology researcher looking to make your mark NOW with NEW DISCOVERIES then this is the post for you. New Theory of Everything published online has PREDICTIONS that can be confirmed from PUBLIC DATA such as SDSS, CHIME, etc. Let's just say it wouldn't be very wise to predict outcomes from public data if you didn't at least run some validations first! Bottom line: there are REAL discoveries for YOU to make IMMEDIATELY within this public data that support this new theory. (things like Galaxy sizes, the durations of Fast Radio Bursts, the diameters of Baryon Acoustic Oscillations, etc) To be clear, this is research YOU will do independently and that YOU will post to the appropriate research outlets. This posting is about showing you a real windo...

I’m looking for a seasoned researcher who can take the raw physiological data coming from our wearable and turn it into rigorously validated, clinically useful information. My immediate goal is to run a small-scale clinical trial paired with deep algorithm testing so we can confirm—and then improve—the accuracy of heart-rate, blood-pressure, respiratory-rate and broader adherence-related metrics. You would help me design the study protocol, define gold-standard comparisons, supervise data collection, and iterate on the signal-processing / machine-learning code that powers our on-device analytics. A solid grasp of biostatistics, clinical research methods, and coding in Python, R or MATLAB will be essential, and familiarity with FDA or CE guidance for digital health prod...

We need experienced developers who have their own private repository and expertise in AI training. Our goal is to enhance our AI capabilities. Scope of work - Utilize personal private repository for the project - Train AI models based on provided datasets - Collaborate on enhancing AI capabilities Additional information - We prefer developers with established private repositories. - If you're the right fit, please get in touch. Ideal Candidate Private Repository & AI training Experience Developer expertise Software development, Other

Looking for an scientist, AI/ML researcher, algorithm engineer, or mathematically inclined computer scientist. This person should be comfortable looking at a large computational problem and asking where the expensive computation is truly needed, which candidates can be evaluated cheaply, and how the system can safely refine only the most important regions or cases. I will share more details with suitable candidate. Thanks,

My immediate goal is to develop robust predictive models that can meaningfully inform cardiovascular research and clinical decision-making. I have aggregated multiple datasets—ranging from structured EHR extracts to imaging-derived variables and device telemetry—and now need a data scientist who can turn these raw inputs into clinically relevant risk scores and outcome forecasts. Scope of work • Clean, integrate, and document the disparate datasets I will share (CSV, SQL dump, and optional imaging features in HDF5). • Engineer features, test several algorithms (e.g., gradient boosting, random forests, neural nets), and iterate toward an interpretable solution. • Provide model performance metrics—AUROC, calibration plots, and decision-curve analysis&m...

Publish SEO backlinks on the websites I specify

I want to push AI beyond conventional data science by weaving arcane principles into its learning loop. My main focus is using arcane magic in AI learning, and the concrete goal is to enhance AI capabilities in a way that can ultimately be patented. The assignment is twofold. First, capture and translate specific occult concepts (sigils, correspondences, ritual structures, energetic patterns) into a machine-learning friendly form. Second, show how my practice of controlled heat regeneration in the body can be measured and streamed back as a live feature that influences model behavior, giving the system a science-meets-powers edge. Deliverables • A concise theoretical framework that links named arcane elements to established ML techniques, written in a style suitable for a patent sub...

Remote AI Data Scientist / Prompt Engineer / AI Trainer Job Description We are seeking a highly intelligent, detail-oriented, and analytical AI Data Scientist / Prompt Engineer to work on advanced AI training, evaluation, and annotation projects across multiple AI platforms. This role involves evaluating AI-generated responses, creating prompts, validating reasoning, reviewing coding and research outputs, and completing complex AI training workflows with high accuracy and consistency. This is a fully remote position with long-term growth opportunities for the right candidate. Responsibilities Evaluate and rank AI-generated responses Write and optimize prompts for large language models (LLMs) Perform data analysis and reasoning tasks Fact-check AI outputs for accuracy and quality Review...

I’m rolling out a market-expansion strategy and need a full predictive-analytics design that turns raw market-trends data into clear, actionable forecasts. The goal is simple: surface which regions, segments, and timing windows will give us the highest return as we scale. Here’s what I’m looking for: • A data-pipeline blueprint that pulls, cleans, and stores external market trends feeds (think industry reports, macro indicators, social-buzz dashboards). • A modeling approach—Python with scikit-learn, TensorFlow, or a comparable framework—that can forecast demand shifts and flag emerging opportunities at least one quarter ahead. • Visual outputs (dashboards or notebooks) that make it easy for non-technical stakeholders to compare expansion ...

I’m looking for an expert who can build a reliable predictive AI model that works with time-series data. I have the raw datasets ready; what I need is the full modeling workflow—from exploratory analysis and feature engineering through training, validation, and clear performance reporting. Key objectives: • Choose the most suitable algorithms (e.g., ARIMA, Prophet, LSTM, or hybrids) and justify the selection. • Handle data preprocessing, missing-value treatment, and scaling so the model remains robust in production. • Deliver reproducible code (Python preferred, using frameworks such as TensorFlow, PyTorch, or scikit-learn) and concise documentation that explains setup, hyperparameters, and retraining steps. • Provide evaluation metrics like MAE, RMSE...