Data Science Jobs

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...

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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 need a single AI-powered application that can take a batch of 500+ files—PDFs, Word docs, Excel sheets and mixed image formats—ingest them into its own searchable memory, and then let me pull meaningful intelligence from that content on demand. Here is what I expect the system to do once the files are uploaded: • For every text-based document it should automatically extract keywords and phrases, generate concise summaries with key insights, and run sentiment analysis. • For images it must perform OCR to capture any embedded text and detect prominent objects that could add context to the overall analysis. • All extracted information has to be stored internally so that I can query it later, ask follow-up questions, or run comparisons across the full data...

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 trade index and single-stock options on Indian exchanges and I’m looking for a quant who can dig deep into volatility modeling with one clear goal: sharpen my live trading strategies. You will take raw options data (primarily vix NSE/BSE), build and calibrate advanced volatility models—think GARCH variants, stochastic-vol, local-vol, surface interpolation—and translate the results into actionable entry, exit and sizing rules. Experience handling large intraday datasets, cleaning corporate-action adjustments, and coding robust back-tests in Python / R is essential; C++ or Julia skills are a plus if you can speed up the heavier calculations. Key deliverables • A fully documented research notebook or repo that pulls, cleans and stores historical option chains an...

I need a neural network expert to develop a model for food formulation analytics. Requirements: - Analyze food formulations and ingredient substitutions - Predict optimal ingredient mixes - Develop taste and texture profiles - Formulation development Ideal Skills: - Experience in predictive analytics - Strong background in neural networks - Knowledge of food science and formulations - Proficiency in Python, TensorFlow, or similar frameworks I would like to design a neuron network software like a company called Giuseppe. I have all the data to populate the databases. 90% of everything is open source.

MAIN THINGS TO COMPLETE / SUBMIT No. of Apps: 3 1. Data Driven Application – Python Tkinter app using an API. 2. Tomorrow’s Web Proof of Concept – full web application with front-end and back-end. 3. Machine Learning Model – functional ML model/project. No. of Games: 1 1. Indie Game Design – 2D Unity game with Windows build, Unity project folder, assets, scripts, and walkthrough video. No. of Websites: 2 1. Showcase Portfolio Website – online professional portfolio for job application. 2. Creative Incubator Website – campaign website for the group prototype/project. No. of Physical Computing / Arduino Projects: 7 1. Arduino Experiment 1 2. Arduino Experiment 2 3. Arduino Experiment 3 4. Arduino Experiment 4 5. Arduino Experiment 5 6. Arduino Ex...

Job Title: Data Annotation Location: Bengaluru (in-office) Company: Meril Role Overview: We are seeking detail-oriented and motivated individuals to join our team as Medical Data Annotation Specialists. In this role, you will be responsible for accurately labeling and annotating medical data, which will be used for AI model training. Your work will play a crucial role in improving the performance of AI-driven healthcare solutions. Key Responsibilities: • Review and annotate medical images, text, or clinical datasets with high accuracy. • Follow predefined guidelines and protocols for data labeling. • Work closely with data scientists and machine learning engineers to ensure quality annotations. • Identify inconsistencies in data and report potential errors. • Main...

I have a project and a case study about a specific hospital, including data, requirements, and a simulation file. I need Arabic speaker

We’re seeking a development partner to build a hyper‑local health platform designed for national scale. Our client is launching an AI‑powered medical assessment app capable of generating a full clinical profile in under two minutes, including: ✓ BMI classification ✓ Metabolic syndrome risk ✓ Type 2 diabetes probability ✓ GLP‑1 eligibility ✓ Personalized nutrition for Gen Z ✓ Exercise baselines ✓ Cardiovascular disease risk evaluation The platform is marketed both direct‑to‑consumer and to local weight‑loss clinics, with all recommendations reviewed by licensed physicians within 24 hours to validate protocols and support insurance billing. Beta results (50+ users): ✓ 12% average weight loss in 12 weeks ✓ 15% reduction in fasting glucose ✓ 78% weekly check‑in com...

I need spatial clustering and Geographically Weighted Regression (GWR) maps of water access points in correlation to poverty levels. Requirements: - Use ArcGIS for analysis - Water access data provided as infrastructure type - Poverty level data is available Ideal Skills & Experience: - Proficiency in ArcGIS - Experience with spatial clustering and GWR - Background in socio-economic data analysis - Strong mapping and visualization skills

Multilingual AI Content Evaluation Specialists (Freelance – Remote, USA Preferred) We are seeking highly skilled Multilingual Content Evaluation Specialists to support advanced AI model evaluation and quality assurance workstreams. This is a remote freelance (1099) role requiring strong linguistic ability, analytical thinking, and experience working with structured evaluation frameworks. Compensation & Commitment Rate: Up to $50/hour Weekly Hours: Up to 35 hours per week (flexible scheduling, based on project needs) Engagement Type: Independent Contractor (1099) Location: USA-based candidates preferred Language Requirements Native or near-native proficiency required in one of the following languages: Japanese Portuguese Turkish Korean Vietnamese Indonesian Thai Strong Englis...

Need someone in project related to Data Analytics with Capstone basic requirement Reach out to me for further discussion need someone from computer background pls

Project Description: I am looking for an experienced Python developer to complete an academic project involving the design and implementation of a Home Automation System using Object-Oriented Programming (OOP). Important Notice: This is a university assessment. The work must be completed without using any Artificial Intelligence (AI) tools, and it will be checked using Turnitin for originality. ⸻ Project Requirements: Stage 0: Design Overview • Define the purpose of the system (e.g., lighting, temperature control, alarm system, irrigation, etc.) • Identify devices and sensors • Define relationships between classes • Provide initial UML diagrams (hand-drawn or digital) ⸻ Stage 1: Basic Framework Design & Implementation • Implement the system in Pyt...

I have a project and a case study about a specific hospital, including data, requirements, and a simulation file. I need Arabic speaker

I’m building a full, Python-based SMS spam detection module and need a freelancer who can deliver fast. The core of the solution must rely on supervised learning—think Naive Bayes, Logistic Regression, SVM, or any other well-reasoned algorithm you can justify—so that the model can be trained, evaluated, and fine-tuned on a labelled dataset. Here’s what I expect: • Clean, well-commented Python code (preferably in a single Jupyter notebook or a small, logically structured repo) • A documented preprocessing pipeline for text messages (tokenisation, stop-word removal, vectorisation with TF-IDF or similar) • Training, validation, and test results showing key metrics such as accuracy, precision, recall, and F1-score • Short read-me explaining ...

I’m putting together a deep-learning workflow that can read MRI scans and immediately show why it reached each conclusion. The core of the job is to train a high-performing model on my MRI dataset and then weave in SHAP for feature-level interpretation and Grad-CAM for pixel-level heat-maps. The system needs to surface three kinds of insight for every study that runs through it: • a clear diagnosis justification that highlights the decisive regions of each image, • tailored treatment recommendations drawn from the predicted class probabilities, and • patient-specific risk factors ranked by SHAP values. I already have raw MRI images and basic labels; you would handle the full pipeline—from preprocessing and augmentation through model tuning, inference,...

I'm looking for an experienced machine learning specialist to develop a model predicting the likelihood of recurrence for anterior shoulder dislocation. Data Availability: - Clinical records - Patient demographics Outcomes: - Model should predict likelihood of recurrence Labeled Data: - We have fully labeled data for training Ideal Skills and Experience: - Expertise in predictive modeling - Experience with medical datasets - Proficiency in Python, R, or similar - Strong background in clinical risk prediction models Please share relevant past projects and approaches.

I will hand you a two-column CSV of real email bodies and their spam/ham labels. From that single file I need a full production-ready pipeline: • Text preprocessing that cleans each message, tokenises it and converts it to TF-IDF vectors. • Training loops for Logistic Regression, Multinomial Naïve Bayes and linear-kernel SVM, with code that automatically picks the best performer. • A FastAPI service exposing /predict so any caller can POST raw email text and receive the predicted class plus a probability score. • A clear evaluation notebook or script that prints accuracy, F1, ROC-AUC and a confusion matrix so I can verify performance. • Repository structured for easy hand-off, including and a concise README explaining setup, training and API usage. ...

Job Description: Technical Animator / Movement Scientist (Biomechanical Systems) Location: Qatar / Remote Project: Blindoff Movement Vision Model Role Type: Contract / Full-Time Overview We are seeking a Technical Animator with a deep understanding of biomechanics to architect a library of Atomic Actions. Rather than traditional performance capture, you will build a modular system where complex exercises (Squats, Lunges, Hinges) are procedurally "assembled" from isolated joint-segment motions. Your work will serve as the ground-truth foundation for a camera-native training intelligence ecosystem. Key Responsibilities Atomic Library Construction: Develop a comprehensive library of isolated joint animations (Action Strips) based on specific degrees of freedom (e.g., Ankle Dorsi...

I’m looking for an agile researcher who can jump between Machine Learning, Deep Learning, Computer Vision and core Electrical Engineering work without missing a beat. Most of what I send your way will sit at the intersection of data-driven algorithms and classic engineering analysis: think rapid literature scans, model prototyping in Python (TensorFlow / PyTorch), quick-turn MATLAB or Simulink simulations, and concise technical write-ups that translate results into clear engineering insights. The project stream is firmly rooted in Electrical Engineering, so an ability to frame ML findings in terms of circuits, signal behaviour, power-system performance or similar contexts is essential. Speed matters—I often need same-day clarifications or iterative tweaks—yet I never com...

## **Project Title:** Data Science Manager – AI Task Operations & Team Lead --- ## **Project Overview** We are building a high-performance AI task operation focused on data annotation, model evaluation, and AI training workflows across leading platforms. We are seeking an experienced **Data Science Manager** to oversee project execution, manage a team of data scientists, and ensure high-quality output across all assignments. This role requires both **technical expertise** and **operational leadership** to coordinate multiple contributors working on AI-related tasks such as LLM evaluation, prompt engineering, and data validation. --- ## **Key Responsibilities** ### **Team Management** * Lead and manage a team of 2–5 data scientists working on AI training tasks * Ass...

I need to set up an end-to-end computer-vision workflow that detects specific objects in my video library. The raw footage is already organized; what it still lacks is accurate frame-level annotation, a robust detection model, and an easy way to run inference on new clips. Here’s what the project looks like from my side. First, every video frame that contains the target classes must be labeled with tight bounding boxes and class IDs. Once the ground-truth dataset is ready, I want a state-of-the-art detector trained—YOLOv5, YOLOv8, Detectron2, or another modern PyTorch/TensorFlow solution is fine as long as the mAP holds up in validation. After training, the model should be optimized for real-time inference (TTA off, ONNX or TensorRT export where possible) and tested on unseen ...

We are hiring an experienced annotation team for a remote data labeling project focused on autonomous driving and parking scenarios. This is a long-term, scalable opportunity with consistent workload. Data Scope Driving Scenes: Obstacles Lane lines Traffic lights Traffic signs Parking Scenes: Obstacles Semantic segmentation Parking slot labeling Task Types 2D Annotation 3D Annotation 4D Annotation (spatio-temporal tracking across frames) Requirements Proven experience in automotive / autonomous driving annotation Strong understanding of multi-dimensional labeling (2D/3D/4D) Ability to manage complex workflows and large datasets Reliable quality control (QC) processes Secure handling of sensitive data Team capacity for ongoing, high-volume work

I have a rich set of raw sales data and need an AI-driven analysis that zeroes in on customer purchasing patterns. The aim is not generic reporting but clear, data-backed insights I can act on—who buys what, when, and why, and how those habits shift over time. You’ll receive the full sales dataset (CSV and SQL exports). From there, I’d like you to: • Clean and structure the data so it’s ready for modelling • Apply the appropriate machine-learning or statistical techniques in Python (pandas, scikit-learn, or similar) to surface meaningful purchasing clusters and seasonal trends • Visualise the findings in an interactive dashboard or concise slide deck, highlighting actionable takeaways Acceptance criteria: the cleaned dataset, reproducible not...

I am looking for Finance Subject Matter Experts who also know their way around Python and github to audit, refine. You'll review Ai task instructions and scoring rubrics then roll up your sleeves and edit markdown files and Python script directly via Pull Requests to fix logic errors, close clarity gaps and ensure every task meets professional standards - Who you are You should have dep subject matter expertise in finance, you've worked as an analyst, in investment banking, corporate finance, equity reserach, FP&AA or closely related field. - Nice to have ** CFA, CPA or MBA with a finance concentration ** Professional expereince building financial models in Excel or Python for deal evaluation, forecasting or valuation

Subject: AutoThings – CAD → ML Design Intelligence (Fan Example) Hi , Sharing a quick explanation of the AutoThings idea, using a fan example to make it concrete.. Core idea: Move from manual CAD + trial‑and‑error to a closed loop: Parametric CAD → Data → Learning → Optimized CAD CAD remains central, but geometry becomes machine‑readable and learnable. Fan example (in brief): Fan blade modeled in Creo with full parametric control (twist, sweep, chord, spline points) Geometry parameters exported as data CFD results (flow, efficiency, noise proxies) added back to the dataset ML learns how geometry affects performance and noise Optimized parameters are written back and CAD rebuilds automatically Designers validate surfaces, manufacturability, and intent Why it matt...

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...

Saya ingin memperdalam keahlian Analisis Data dengan fokus pada Pembelajaran Mesin untuk Pemrosesan Bahasa Alami (NLP). Saya mencari seorang mentor berpengalaman yang dapat membimbing saya secara terstruktur, praktis, dan bertahap hingga saya mampu membangun model NLP sederhana secara mandiri. Lingkup kerja yang saya bayangkan: • Merancang kurikulum mingguan yang mencakup dasar-dasar statistik, pembersihan & vektorisasi teks, word embeddings, model klasik (Naïve Bayes, SVM) hingga model neural network modern seperti LSTM, Transformer, dan BERT. • Mengadakan sesi daring terjadwal (±1–2 jam tiap pertemuan) dengan kombinasi penjelasan konsep dan live coding menggunakan Python, Pandas, scikit-learn, serta PyTorch atau TensorFlow. • Menyiapkan tugas pra...