Data Mining Jobs

I’m in the UK and need a fresh, reliable list of genuine car importers across Europe, Asia and Africa. For every company you include, I must have full contact details, the specific makes or categories of vehicles they handle and a realistic picture of their monthly or annual import volume. Please double-check each entry—phone or email verification rather than simple web scraping—so I can reach out with confidence. Organise everything by region and deliver the final list as a well-formatted PDF report, complete with a one-page executive summary of totals. I’ll spot-check roughly 10 % of the leads; once they prove accurate, the milestone is complete. If you’ve sourced automotive contacts before, a quick note about a similar project will help me choose the ...

Overview We are seeking an experienced Laravel Developer / Automation Engineer to architect and build a self-sustaining system that gathers publicly available contact and professional information for individuals working in the low-voltage industry (e.g., low-voltage technicians, structured cabling installers, fire alarm techs, security system installers, access control technicians, etc.). The system will collect relevant professional data from platforms such as LinkedIn and additional job boards where users publicly publish resume and profile information. The final solution must: Operate autonomously once deployed Allow geo-targeted searches by specific City/State Store structured data in a database designed like a spreadsheet Provide exportable, filterable datasets (CSV/Excel) ...

Project Overview I am building a grocery app, an Australian grocery price comparison platform that compares product prices across Woolworths, Coles. There is an existing open-source project that collects grocery price data: I would like a developer to extend and improve this project so that it reliably collects, cleans, and structures grocery price data suitable for a product comparison application. The goal is to produce a clean, structured dataset where the same product across different supermarkets can be compared easily. Scope of Work 1. Improve Data Collection - Review and extend the existing spiders/modules in the repository. - Ensure reliable scraping of Woolworths, Coles product listings. - Ensure the scraper can run automatically on a weekly schedule (this may extend to dai...

I’m assembling a nationwide database of beauty-salon owners in the United States from the following cities 1. Miami 2. Las Vegas 3. Atlanta 4. Charlotte 5. Orlando & Tampa 6. Phoenix 7. Houston 8. New York 9. **San Francisco & Los Angeles 10. Chicago • Owner’s full name with current phone number and email address • Business name with complete street address (city, state, ZIP) • Key service specialties the shop promotes (e.g., fades, coloring, micro-blading, etc.) Accuracy is critical, so I will spot-check contact details and discard any duplicates or outdated entries. Please provide the finished list in a clean spreadsheet or CSV that I can filter and sort easily. If you already have a recent, reliable dataset, let m...

I need help with cleaning and analyzing a mixed dataset. The data is currently unstructured, and I need it normalized before analysis. Key Tasks: - Normalize data to prepare for analysis - Analyze data to identify patterns and trends Ideal Skills and Experience: - Proficiency in data cleaning tools - Experience with mixed data types - Strong analytical skills to identify patterns - SPSS - R - Excel

Project Overview I have an Excel dataset containing approximately 11,440 licensed plumbing contractors in California (C-36 classification). The dataset includes contractor license information such as business name, city, address, and phone number. I am seeking an experienced data scraping / lead enrichment specialist to locate verified business email addresses associated with these contractors and append them to the spreadsheet. The goal is to identify publicly available contact emails belonging to the contractor’s business and integrate them into the existing dataset. ⸻ Source Dataset The spreadsheet contains approximately 11,440 contractor records and includes fields such as: • License Number • BusinessName • BUS-NAME-2 (DBA name, if present) • FullBus...

We are seeking a highly experienced web scraping professional for a long-term collaboration involving large-scale B2B data extraction from major public industry directories in Germany and Austria. This is not a one-time scraping task. We are building a structured, scalable data acquisition system and require a technically strong partner capable of handling full extraction, enrichment, and monthly incremental automation. --- ### Phase 1 – Initial Full Extraction (Per Source) We will provide 1–2 directory sources as a pilot. For each source, the freelancer must: • Extract the complete company inventory • Capture required fields: * Email address (highest priority) * Company name * Street address * Postal code * City • If available: Telephone, Fax, Website, ...

I’m running an academic study and need a reliable partner to gather a clean, well-structured dataset. The precise source is still open—fresh survey responses, publicly available web data, or even existing transactional records are all on the table. What matters is that the data be captured ethically, documented thoroughly, and delivered in a format ready for statistical analysis. Here’s what I need from you: • A brief proposal outlining the collection strategy, recommended tools (e.g., Qualtrics, Python/BeautifulSoup, Selenium, SQL, Excel), and estimated timeline • The final dataset in CSV or equivalent, fully de-duplicated and consistently formatted • A concise data dictionary describing each variable • A short methodology note (1-2 pages) exp...

We own social media sites like Wellington LIVE, Knock Knock and 15 community facebook groups. Approx 500,000 profiles. We want to scrape Realestate sentiment, and buyer intent our owned pages,,our web sites and from external platforms such as Google, , Trade Me, Stuff, Herald and OneRoof, reddit and any other public forums. Build the AI intent detection engine that identifies property buyer comments, classifies hot/cold leads, applies internal profile masking, and triggers funnels. Then Focus on AI enrichment agents, CRM sync, follow-ups and automation scaling. When buyer intent appears, the system will classify it and push the user into a compliant lead capture funnel, into a realestate agents dashboard as a new warm or hot lead. On platforms we own, we can directly trigger forms and bo...

I want to turn raw datasets into clear, data-driven insights through an AI-powered analysis workflow. The goal is a self-contained solution that ingests spreadsheets or database exports, cleans and transforms the information, uncovers meaningful patterns and trends, then delivers the results as shareable files and a concise report or dashboard. You may choose the most effective stack—Python with Pandas, scikit-learn, TensorFlow, or similar—so long as it runs reproducibly on a standard Linux environment. I will supply sample data and outline the business questions once we start; from there I expect you to design and code the pipeline, select suitable algorithms, train and validate any models, and document every step clearly. Deliverables • Well-structured, commented sou...

What You'll Do Design, train, and deploy machine learning models for real-world applications (NLP, computer vision, forecasting, or recommendation systems). Build and optimize scalable ML pipelines using tools like Airflow, Kubeflow, MLflow, or SageMaker. Collaborate with data engineers to ensure clean, reliable data flows from source to model. Implement monitoring, drift detection, and retraining strategies for production models. Prototype new AI capabilities and translate research into production-ready features. Mentor junior engineers and contribute to technical strategy and architecture decisions. Champion best practices in MLOps, model governance, and ethical AI. What You Bring Required: Candidates must be reside in Philippines and other South East Asia. 3+ years of hands-on expe...

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.

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...

I need an NLP expert to help automate the analysis of text documents. Key Requirements: - Develop NLP models to analyze and extract insights from large volumes of text documents. - Improve data processing efficiency and accuracy. - Integrate solutions with existing systems. - Provide documentation and support for implementation. Ideal Skills: - Expertise in NLP and machine learning. - Experience with text analysis and data extraction. - Strong programming skills, preferably in Python. - Background in developing scalable AI solutions. Looking for innovative approaches to streamline data analysis and enhance productivity.

I need a fresh, accurate database of Australian business-to-business contacts collected and organised for easy import into my CRM. The dataset must cover companies operating nationwide and include decision-makers rather than generic info addresses. Please gather the following for each record: • Company name • Full contact name • Role title • Direct email address • Direct phone number (landline or mobile) Quality is more important than sheer volume. Every email and phone number must be active, each name correctly matched to the right company and role, and duplicates removed. Publicly available sources, official company sites, and reliable business directories are all acceptable as long as you respect Australian data-privacy regulations. No purchased or o...

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 need a small script that can open the public FSSAI licence/registration search page, let me solve the CAPTCHA myself, then automatically scrape the results table and drop the data into an Excel file. What matters most is that I can pre-set manufacturing-related filters before the search is submitted. At the moment my main filter is “manufacturing” (spelling in the page varies), but the code should make it easy for me to switch to other built-in filters such as date range, location or company name whenever required. Preferred approach • A headless-friendly Python solution using Selenium or Playwright to drive the browser, plus pandas / openpyxl to create the .xlsx file. • After I manually pass the CAPTCHA the script continues, fetches every paginated result, ...

I want to scrape all records from 8 URLs. Please check attached excel file for output sample.

My main AutoCAD software crashed and I’m locked out of several critical DWG files. I need someone who can jump on a remote session right away, reinstall AutoCAD 2018 or any newer release, activate it, and then open every drawing intact so no geometry, layers, Xrefs or sheet-set data goes missing. Here’s what success looks like for me: • AutoCAD 2018 (or any more recent release you recommend) installed cleanly, fully updated and opening without errors. • All existing project files opened, audited and saved back with zero data loss; if you need to use RECOVER, RECOVERALL, command-line AUDIT, or third-party utilities, that’s fine as long as the model space and layouts stay intact. • A short note on what caused the failure and any preventive tweaks&md...

I need clean, reliable product-level data pulled from popular e-commerce sites and delivered in a structured format I can feed straight into my analysis pipeline. The focus is on product details only—titles, descriptions, specifications, images, SKU, category tags and anything else that properly describes the item itself. Price information or customer reviews are not essential right now, but building the scraper in a way that could be extended to capture those later would be appreciated. Your crawler should respect , rotate proxies or user-agents as needed to avoid blocks, and export the results as either CSV or JSON; if you can offer both, even better. I’ll point you to the first two target sites once we start, then we can iterate quickly on additional domains that share a si...

Analyzed 10,000 rows of raw retail sales data and built a complete analytics system with 11 professional charts and an automated PDF report that runs with a single click. The biggest challenge was identifying why profit margins were inconsistent across different product categories and regions despite strong overall sales numbers. Using Python and Pandas I cleaned and transformed the raw data, removed errors and inconsistencies and built a complete analysis pipeline from scratch. KEY FINDING: Discounts above 40% were generating negative profit across hundreds of transactions. Capping discounts at 20% identified a $50,000 annual profit recovery opportunity the business did not know existed. WHAT WAS DELIVERED: 1. Complete data cleaning and preparation 2. 11 professional char...

Wordpress developer and Data Entry expert needed Job description About Teckmo: Teckmo is a fast-growing digital agency offering web development, WordPress solutions, SEO, and digital marketing services. We work with startups and global clients to build high-performing websites and impactful digital campaigns. Job Overview: We are looking for a WordPress Developer who is passionate about coding and eager to build a strong career in web development. Whether you're a fresher or have up to 10 year of experience, if you have the basics of PHP and WordPress, we’d love to hear from you. Its work from home position with salary range of ₹12,000 to ₹75,000/mo. Responsibilities: • Assist in developing and customizing WordPress websites. • Support in creating and editing the...

Extract US Multi-Location Restaurant Brands from OpenTable I need a data researcher to extract restaurant brands from OpenTable () that meet the following criteria: PLEASE PROVIDE A 10 ROW SAMPLE AS PROOF YOU UNDESTAND THE REQUIREMENT. WE ALSO NEED A DECRIPTION OF HOW YOU PLAN COMPLETE THE REQUIREMENT Requirements US-based restaurant brands only Brands must operate between 15 and 50 total locations (company-wide, not just OpenTable listings) At least one location must be listed on OpenTable Must be an actual restaurant operator (no tech companies, media, associations, suppliers, or consultants) Deliverable A clean CSV file with the following columns: Brand Name Official Website URL Total Number of Locations (verified from website) Source URL confirming location count OpenTab...

I need a clean, one-off scrape of a large online retailer (I’ll share the exact store and URLs once we agree). The job is straightforward: pull three data points for every product I specify—current price, stated delivery time, and offer type (Retail, Seller, or Seller but shipped by Retail). The site employs standard anti-bot measures, so rotating proxies, respectful delays, or headless browsing may be required to keep requests under the radar. Please build the script with Python—BeautifulSoup, Scrapy, Playwright, or any reliable stack is fine—as long as it can be rerun on my side without extra fees or licences. Deliverables • A single Excel workbook.  – One sheet per category or URL I provide  – Columns: Product identifier (ASIN...

I want to scrape all records from 8 URLs. Please check attached excel file for output sample.

I’m assembling a small pool of Python specialists who can jump in as on-demand interviewers for my hiring pipeline. Every candidate you meet will be applying for a data-science-focused role, so I need someone whose own background is genuinely senior-level in that space—think daily work with pandas, NumPy, scikit-learn, Jupyter notebooks, model deployment, and the usual mix of statistics and SQL that glues real projects together. Your task is to run one-hour coding-test sessions over Zoom or Google Meet. I supply the shortlist of applicants and the calendar invites; you supply the technical depth and the objective scoring. During each session you will: • present or share a prepared data-centric coding challenge (I’m happy to reuse a problem you already trust, or...

I need a reliable researcher to build a fresh, accurate database of commercial real estate owners and tenants operating in Bucks County, Pennsylvania. My entire focus is on the real estate industry—specifically commercial properties—so every record you gather must relate to that sector. The assignment centers on creating what I’m calling the “Bucks County Commercial Owner & Tenant Database.” For each company or individual you identify, I only care about solid contact details: name, role, company, direct email (no info@ addresses), direct phone if available, and the full street address of the property. Add a LinkedIn or web source URL whenever it helps confirm accuracy. Feel free to tap LinkedIn Sales Navigator, county assessor records, CoStar, Reonomy, A...

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