Overview We're looking for a data-obsessed explorer who can build and maintain pipelines that collect, clean, and enhance large volumes of data, then apply AI tools to keep it accurate, useful, and ready for analysis. This is initially a project-based role with the possibility of evolving into a full-time contract based on performance and business needs. Key Responsibilities Data Acquisition & Scraping Design, develop, and maintain scalable web-scraping systems and APIs to collect structured and unstructured data from diverse sources. Ensure compliance with data privacy laws (GDPR, CCPA) and site-specific terms of service. Data Enrichment & Transformation Implement pipelines to clean, normalize, and enrich raw data using third-party datasets, NLP (natural language processing), and machine learning techniques. Build automated matching and deduplication processes to maintain a unified source of truth. Quality Assurance & Monitoring Create automated QA checks to validate data accuracy, completeness, and consistency. Set up monitoring and alert systems to catch anomalies or pipeline failures early. AI & Process Optimization Integrate AI models for entity extraction, text classification, and predictive enrichment. Work with the data science team to design features that feed analytics and machine learning models. Collaboration & Documentation Partner with product, engineering, and analytics teams to define data requirements and priorities. Maintain clear technical documentation and data lineage records Requirements Strong programming skills in Python (Scrapy, BeautifulSoup, Selenium, Playwright) or equivalent languages. Experience with data pipelines and ETL tools (Airflow, Prefect, or similar). Proficiency in SQL/NoSQL databases and data warehousing (e.g., BigQuery, Snowflake). Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes). Knowledge of machine learning workflows and libraries (scikit-learn, spaCy, Hugging Face) is a big plus. Solid understanding of data privacy and ethical data collection practices. Nice-to-Have Experience with LLMs (large language models) for text enrichment. Background in data visualization or BI tools (Tableau, Looker, Power BI). Familiarity with real-time streaming data (Kafka, Kinesis). Traits for Success Detail-oriented with a knack for spotting hidden data issues. Curious problem solver who loves automation and efficiency. Comfortable in a fast-paced environment where requirements evolve quickly Benefits Remote work. Flexible work schedule . Opportunity for a long term contract .
About The Role We are seeking a friendly, highly organized, and sales-driven female professional to join our remote team supporting an upscale beauty salon based in Business Bay, Dubai . This remote role blends customer service, online sales, and administrative coordination. You'll be the digital face of our salon, managing customer interactions, driving bookings, and supporting operational logistics for both in-salon and home service appointments. Key Responsibilities Client Interaction & Support Greet and engage clients virtually via WhatsApp, Instagram, phone, and online booking platforms Manage client inquiries, resolve issues, and provide personalized service recommendations Follow up on appointments, feedback, and rebooking opportunities Sales & Upselling Promote salon services and products through digital channels Convert inquiries into bookings and cross-sell additional treatments or retail products Meet or exceed monthly sales and conversion goals Administrative Tasks Maintain and update digital records of client profiles, bookings, and sales using tools like Excel, Google Sheets, or salon management software Manage the salon's appointment calendar and coordinate scheduling with therapists and service teams Handle invoicing, payment confirmations, and digital cash tracking Operational Coordination Assist in organizing home visit logistics and ensure smooth communication between clients and therapists Support internal team communication and timely reporting of client needs and appointments Track service feedback and suggest improvements to enhance customer satisfaction Requirements Prior experience in customer service, sales, or front desk operations (preferably in the beauty/wellness industry) Strong written and verbal communication skills in English (Arabic is a plus) Proficient in Microsoft Office Suite and/or Google Workspace Comfortable working remotely with self-discipline and strong time management Friendly, empathetic, and sales-focused approach Familiarity with salon management platforms (e.g., Fresha, Booksy) Experience handling Instagram/WhatsApp Business for client communication Knowledge of beauty or wellness products/services Benefits Salary: USD 300/month + Commission Opportunities for growth and in-house training Performance bonuses and recognition Friendly work environment in a high-end location
Overview We're looking for a data-obsessed explorer who can build and maintain pipelines that collect, clean, and enhance large volumes of data, then apply AI tools to keep it accurate, useful, and ready for analysis. This is initially a project-based role with the possibility of evolving into a full-time contract based on performance and business needs. Key Responsibilities Data Acquisition & Scraping Design, develop, and maintain scalable web-scraping systems and APIs to collect structured and unstructured data from diverse sources. Ensure compliance with data privacy laws (GDPR, CCPA) and site-specific terms of service. Data Enrichment & Transformation Implement pipelines to clean, normalize, and enrich raw data using third-party datasets, NLP (natural language processing), and machine learning techniques. Build automated matching and deduplication processes to maintain a unified source of truth. Quality Assurance & Monitoring Create automated QA checks to validate data accuracy, completeness, and consistency. Set up monitoring and alert systems to catch anomalies or pipeline failures early. AI & Process Optimization Integrate AI models for entity extraction, text classification, and predictive enrichment. Work with the data science team to design features that feed analytics and machine learning models. Collaboration & Documentation Partner with product, engineering, and analytics teams to define data requirements and priorities. Maintain clear technical documentation and data lineage records Requirements Strong programming skills in Python (Scrapy, BeautifulSoup, Selenium, Playwright) or equivalent languages. Experience with data pipelines and ETL tools (Airflow, Prefect, or similar). Proficiency in SQL/NoSQL databases and data warehousing (e.g., BigQuery, Snowflake). Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes). Knowledge of machine learning workflows and libraries (scikit-learn, spaCy, Hugging Face) is a big plus. Solid understanding of data privacy and ethical data collection practices. Nice-to-Have Experience with LLMs (large language models) for text enrichment. Background in data visualization or BI tools (Tableau, Looker, Power BI). Familiarity with real-time streaming data (Kafka, Kinesis). Traits for Success Detail-oriented with a knack for spotting hidden data issues. Curious problem solver who loves automation and efficiency. Comfortable in a fast-paced environment where requirements evolve quickly Benefits Remote work. Flexible work schedule . Opportunity for a long term contract .