4 Scraping Jobs

The U.S. Pharmacopeial Convention (USP) is an independent scientific organization collaborating with top health and science authorities to develop quality standards for medicines, dietary supplements, and food ingredients. With over 1,300 professionals across twenty global locations, USP's core value of Passion for Quality drives its mission to strengthen the supply of safe, quality medicines and supplements worldwide. USP values inclusivity and fosters opportunities for mentorship and professional growth. Emphasizing Diversity, Equity, Inclusion, and Belonging, USP aims to build a world where quality in health and healthcare is assured. The Digital & Innovation group at USP is seeking a Data Scientist proficient in advanced analytics, data visualization, and machine learning to work on innovative projects and deliver digital solutions. The ideal candidate will leverage data insights to create a unified experience across USP's ecosystem. In this role, you will contribute to USP's public health mission by increasing access to high-quality, safe medicine and improving global health through public standards and programs. Collaborate with data scientists, engineers, and IT teams to ensure project success, apply ML techniques for business impact, and communicate results effectively to diverse audiences. **Requirements:** **Education:** Bachelor's degree in relevant field (e.g., Engineering, Analytics, Data Science, Computer Science, Statistics) or equivalent experience. **Experience:** - Data Scientist: 3-6 years hands-on experience in data science, machine learning, statistics, and natural language processing. - Senior Data Scientist: 6-10 years hands-on experience in data science and advanced analytics. - Proficiency in Python packages and visualization tools, SQL, and CNN/RNN models. - Experience with data extraction, XML documents, and DOM model. **Additional Preferences:** - Master's degree in relevant fields. - Experience in scientific chemistry or life sciences. - Familiarity with pharmaceutical datasets and nomenclature. - Ability to translate stakeholder needs into technical outputs. - Strong communication skills and ability to explain technical issues to non-technical audiences. **Supervisory Responsibilities:** Non-supervisory position **Benefits:** USP offers comprehensive benefits for personal and financial well-being, including healthcare options and retirement savings. USP does not accept unsolicited resumes from third-party recruitment agencies. Job Type: Full-Time.,

As a member of the Data Engineering team, your primary responsibility will be to handle various aspects of data extraction. This includes understanding the data requirements of the business group, reverse-engineering the website and its technology, developing web robots to automate data extraction, and building monitoring systems to ensure data integrity. You will also play a key role in managing changes to website dynamics and layout for clean downloads, creating scraping and parsing systems to structure raw data, and providing operations support for high availability and zero data losses. Moreover, you will be involved in storing extracted data in recommended databases, constructing scalable data extraction systems, and automating data pipelines. The ideal candidate for this role should possess the following qualifications: - 2-4 years of experience in website data extraction and scraping. - Proficiency in relational databases, including writing complex SQL queries and ETL operations. - Strong command of Python for data operations. - Expertise in Python frameworks such as Requests, UrlLib2, Selenium, Beautiful Soup, and Scrapy. - Familiarity with HTTP requests and responses, HTML, CSS, XML, JSON, and JavaScript. - Skill in using debugging tools in Chrome for reverse engineering website dynamics. - Academic background in BCA/MCA/BS/MS with a solid foundation in data structures and algorithms. - Strong problem-solving, analytical, and debugging skills. If you meet these qualifications and are enthusiastic about working in a dynamic data engineering environment, we encourage you to apply for this position.,

Are you passionate about driving strategic business decisions , optimising operations , and leveraging automation to scale efficiency? Do you thrive in high-growth, data-driven environments where innovation and process excellence are key? If so, Tracxn is looking for a dynamic leader to join our team! Location : Bangalore, India Job Type : Full-time Work From Office About Tracxn Tracxn is a leading market intelligence platform, tracking the worlds most innovative startups and private companies. Our insights help top VCs, PE firms, and Fortune 500 companies make data-backed decisions. As we continue to expand, we are looking for a highly motivated AVP Business Strategy & Operations to drive operational excellence within our Data Team. Your Role & Impact As AVP Business Strategy and Operations (DATA) at Tracxn, you will play a critical role in driving data-led business strategies, optimizing large-scale data operations, and accelerating automation to enhance operational efficiency. This role requires a deep understanding of data management, workflow automation, and process excellence, coupled with strong business acumen to drive scalable and data-driven growth. You will collaborate with cross-functional teams to streamline data operations, introduce automation-led efficiencies, and optimize data processing models to support Tracxns business objectives. Business Strategy & Process Optimization Design and implement scalable business strategies to enhance operational efficiency and optimize large-scale data operations. Identify key process bottlenecks and develop strategies to reduce manual effort, ensuring faster and more accurate data processing. Streamline end-to-end data workflows, ensuring data quality, efficiency, and consistency across all operations. Work closely with leadership to align operational processes with business objectives, driving improved outcomes. Continuously monitor and optimize data processing workflows to support rapid scalability and business growth. Data Operations & Automation Strategy Lead large-scale data operations by designing automation frameworks to reduce human intervention and improve data processing efficiency. Build and optimize workflows that combine LLMs, APIs, scraping, and human supervision to extract, clean, enrich, and validate private company data. Collaborate with Tech, Product, and Data Science teams to introduce AI/ML-driven data collection, enrichment, and processing solutions. Implement workflow automation to streamline repetitive tasks and minimize manual dependencies. Enhance data processing accuracy and speed by integrating robust automation solutions into data operations. Ensure the development of scalable data operations models that can support business growth while minimizing operational costs. Data-Driven Decision Making & Insights Develop and implement real-time operational performance dashboards to monitor key data metrics, productivity, and output efficiency. Provide leadership with actionable insights for decision-making. Monitor data processing trends, workflow performance, and operational efficiency to identify areas of improvement. Collaborate with business, product, and technology teams to turn data insights into operational improvements that drive scalability. Ensure that measurable KPIs back all data operations and workflows to track effectiveness and continuous improvement. Automation & Technology Integration Partner with Tech and Product teams to drive AI-led automation solutions for data collection, processing, and enrichment. Optimize data pipelines by integrating data ingestion, processing, and delivery automation using scalable technologies. Identify and implement advanced workflow automation tools to reduce operational friction and boost productivity. Ensure seamless integration of data collection, enrichment, and delivery pipelines to support Tracxns data intelligence platform. Continuously evaluate and implement new-age technologies to optimize data operations and minimize turnaround times. Leadership & Cross-Functional Collaboration Lead and mentor a high-performance team focused on business strategy, data operations, and automation excellence. Drive close collaboration with Engineering, Product, and Sales teams to ensure seamless data flow and operational efficiency. Foster a culture of continuous improvement, operational excellence, and automation-first approach within the data operations team. Serve as a strategic advisor to the leadership team on optimizing data operations and driving business scalability. Promote cross-functional alignment to drive data-led business growth, process efficiency, and cost reduction. What Success Looks Like in This Role Achieving operational scalability by significantly reducing manual interventions through automation. Enhancing data processing accuracy, speed, and output quality to support business growth. Driving measurable improvements in data operations efficiency, process standardisation, and turnaround times. Collaborating with Tech, Product, and Business teams to deliver data-driven business insights that drive strategic growth. Establishing Tracxns data operations as a benchmark for efficiency, scalability, and process automation. What Were Looking For Up to 10 years of experience in business strategy, operations, or process automation. Strong understanding of how LLMs, NLP, scraping, and ML models can be applied to automate data workflows. Ability to drive scalable process improvements in a data-driven environment. Excellent problem-solving, analytical, and stakeholder management skills. Familiarity with data tools, automation platforms, and analytics dashboards (not mandatory but a plus). Why Join Tracxn? Lead strategic business initiatives in a high-impact, data-first organization. Drive automation and operational transformation at scale. Be part of a fast-growing, tech-driven company. Competitive compensation & fast career growth opportunities.

Scale AI-Driven Operations | Build Intelligent Data Systems | Lead with Innovation Are you a forward-thinking leader passionate about harnessing AI to transform data operations at scale? Do you excel at building structured, high-quality data pipelines that power real-world business decisions? If you're looking to take end-to-end ownership of AI-first data workflows in a global SaaS platform, Tracxn is where your vision becomes impact. Location: Bangalore, India (Work from Office) Job Type: Full-time About Tracxn Tracxn is a leading market intelligence platform tracking over millions of private companies globally across industries. Our clients include Venture Capital firms, Private Equity funds, Investment Banks, and Corporates who rely on us for actionable insights and data. As a tech-first company, we are constantly evolving our capabilities in AI and automation to redefine data quality, scale, and delivery. Role Summary As the Head of Data Production using AI, you will own the strategy, execution, and evolution of Tracxns data production engine, with a sharp focus on AI-driven automation, data accuracy, and scalable delivery. This is a mission-critical leadership role where you'll partner closely with Engineering, Product, and Business teams to design workflows that leverage LLMs, NLP, machine learning, and human-in-the-loop systems to produce high-quality structured private market intelligence. We're looking for someone deeply passionate about AI, obsessed with operational scalability, and excited to lead a high-impact team that blends automation with human judgment. Key Responsibilities 1. AI-Driven Data Strategy & Execution Define and lead the roadmap for AI-enabled data production at Tracxn. Build and optimize workflows that combine LLMs, APIs, scraping, and human supervision to extract, clean, enrich, and validate private company data. Collaborate with the AI/ML and engineering teams to integrate cutting-edge tools and models into production workflows. Maintain a high standard of data accuracy, completeness, and freshness. 2. Process & Workflow Optimization Scale structured data pipelines using automation and data augmentation techniques. Identify bottlenecks and apply AI or RPA-based solutions to increase efficiency. Own the design of SOPs, QA processes, and escalation mechanisms across data production. 3. Team Leadership Lead and mentor large in-house data teams (analysts, reviewers, QA, etc.). Define clear KPIs and performance metrics; ensure accountability through dashboards and regular reviews. 4. Collaboration & Stakeholder Management Act as the voice of Data Production in discussions with Product, Engineering, Customer Success, and Sales teams. Translate market and client needs into scalable data initiatives. Communicate key project updates and performance metrics to senior leadership Qualifications & Skills Education: Bachelors degree in Engineering, Data Science, or a related field. MBA or post-grad in technology/analytics preferred. Experience: 5 - 10 years of experience in operations, data strategy, or AI implementation, preferably in a product/tech/data company. Strong understanding of how LLMs, NLP, scraping, and ML models can be applied to automate data workflows. Proven experience in scaling data teams and building high-accuracy operations. Experience with human-in-the-loop systems, QA automation, and production-scale data delivery Why Join Tracxn? Join one of the most exciting data-tech companies building for the global private markets. Lead a strategic function at the intersection of AI and data. High-impact role with complete ownership and visibility. Transparent, performance-driven culture. Work alongside smart, curious peers solving real-world challenges.