Total 1,336 data entry job vacancies in Hong Kong

5 days, Mon - Fri 8.30am to 5.30pm

Salary: $3,000 - $3,800

Location: 200 Cantonment Rd, Singapore 089763 (Nearest MRT Tanjong Pagar)

Job scopes:

• Coordinate and maintain Company’s QHSSE accreditation, including ISO 9001 and Responsible Care
• Conduct Internal Audits for Company’s Internal Work Process
• Conduct periodical Internal SOP refresher training
• Takes on the role of Safety Officer in the Office (Office Fire Warden & First Aider)

Requirements:

• At least 1 year of experience as a safety office
• Diploma / Degree in Workplace Safety & Health
• WSQ Advanced Certificate in Workplace Safety and Health ( Level B )
• Knowledge of ISO 9001

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

5.5 days, Mon-Fri 9am-6pm/ Sat 9am-1pm (Sat can WFH)

Salary: $2700-$3000

Location: Redhill

Job Responsibilities:

• Liaise with operations and warehouse teams to ensure accurate and timely data processing
• Receive stock checklists, load items to store using trolley, and update records in the system
• Priorities and allocate pick-and-pack orders to courier partners for local and export deliveries
• Oversee store operations and inventory management for car accessories
• Monitor inventory levels, track stock movement, and forecast replenishment needs based on sales trends
• Maintain accurate stock records, manage stock rotation, and ensure timely restocking
• Process customer orders accurately and promptly for both online and in-store sales
• Coordinate preparation, packing, and shipment of orders with suppliers and logistics partners
• Track delivery status and resolve shipment delays, discrepancies, or errors
• Work closely with the sales team to ensure product availability and support customer requirements
• Handle customer enquiries related to order status, delivery, returns, and exchanges
• Prepare basic inventory and fulfilment reports and support other warehouse administrative duties as assigned

Requirements:

• Diploma or equivalent qualification in Logistics, Supply Chain, Business Administration, or a related field
• Basic understanding of warehouse operations, inventory control, and order fulfilment processes
• Able to handle data entry and update systems accurately and in a timely manner
• Comfortable with physical tasks such as loading items using a trolley
• Entry level is welcome to apply as training will be provided

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Successful candidates need to be comfortable with working on weekends, and rotation shifts as and when required.

Key Responsibilities:

• Design and implement advanced data science solutions across banking domains, with a focus on automation and integration with enterprise database platforms.
• Lead the automation of end-to-end data science workflows, including data extraction, transformation, modelling, and deployment.
• Work closely with database engineering teams to ensure seamless integration between models and large-scale relational and non-relational databases.
• Champion the development of reusable, scalable ML pipelines for model training, evaluation, monitoring, and retraining.
• Drive AI/ML adoption for use cases like fraud detection, risk scoring, operational efficiency, customer analytics, and more.
• Contribute to data governance and model risk management processes in line with regulatory standards.
• Mentor junior data scientists and contribute to building best practices and a strong data culture.
• Any other ad-hoc duties as assigned by supervisors

Requirements:

• Bachelor’s degree in Engineering / Computer Science / Information Technology or related field.
• Around 9 - 12 years of experience and above
• Experience with PL/SQL, Python, Shell Scripting and cloud-based environment.

Interested applicants, please email your resume to Douglas Tan Yu Feng

Email: douglastan@recruitexpress.com.sg

CEI Reg No: R26160004

EA Licence No: 99C4599

Recruit Express Pte Ltd

We are seeking an experienced Senior Project Manager to lead complex, regional data analytics projects within a banking environment. You will oversee initiatives spanning data warehousing, business intelligence, reporting automation, advanced analytics, and regulatory data solutions. You will manage cross-border programs, engage with steering committees, control budgets, drive quality assurance, and navigate diverse stakeholder landscapes across the Asia Pacific region.

Key Responsibilities

Project Lifecycle Management

• Own end-to-end project delivery for data analytics initiatives, from business case development and requirements gathering to implementation, go-live, and post-implementation review.

• Define project scope, objectives, deliverables, and success metrics aligned with regional data strategy and business outcomes.

• Develop and maintain detailed project plans, timelines, milestones, data migration schedules, and risk registers.

Regional Data Analytics Delivery

• Lead regional data analytics projects spanning multiple countries, ensuring consistency in data governance, reporting standards, and compliance across locations.

• Coordinate with in-country data teams, business intelligence units, and local technology leads to align regional data frameworks with local regulatory and operational requirements.

• Manage dependencies across data ingestion, transformation, storage, visualization, and consumption workstreams.

Steering Committee & Governance

• Prepare and present regular steering committee updates, including project status, budget utilization, risk assessments, data quality metrics, and issue escalation.

• Facilitate steering committee meetings, secure key decisions, and drive alignment among senior executives, data officers, and business sponsors

Budget & Financial Management

• Own project budgets, including forecasting, tracking, variance analysis, and cost control for data infrastructure, software licensing, cloud resources, and consulting services.

• Manage CAPEX and OPEX allocations, ensuring data analytics projects are delivered within approved financial parameters.

• Provide regular budget reports to steering committees and finance partners.

Stakeholder Management

• Engage and influence senior stakeholders across business intelligence, data governance, technology, risk, compliance, and business units (e.g., finance, risk, marketing, treasury).

• Act as the primary point of contact for regional data project sponsors, business leads, data vendors, and analytics partners.

• Navigate complex organizational structures to secure buy-in, resolve conflicts, and maintain project momentum.

Requirements

• Bachelor's degree in Computer Science, Data Analytics, Information Systems, Finance, or a related field. MBA or PMP certification is highly preferred.

• 10+ years of project management experience in banking or financial services, with at least 5 years managing regional data analytics or business intelligence projects.

• Proven experience leading steering committee meetings and presenting to C-suite, Chief Data Officers, and senior executives.

• Strong track record of managing project budgets (both CAPEX and OPEX)

• Deep understanding of the full project lifecycle for data analytics projects, including data sourcing, ETL/ELT, data modeling, reporting, and visualization.

• Hands-on experience with QA processes for data projects, including data validation, ETL testing, UAT coordination, and defect management.

• Familiarity with data analytics technologies such as SQL, Python, Tableau, Power BI, Snowflake, Databricks, or similar platforms.

• Exceptional stakeholder management skills, with the ability to influence across business, technology, data governance, and risk functions.

• Proficiency in project management tools (JIRA, MS Project, Confluence, or similar).

• Excellent communication, negotiation, and problem-solving skills.

• Ability to travel regionally as required.
  

  Interested candidates please email your latest resume to subagio@tangspac.com

Overview

Global project and development organisation delivering complex, mission-critical facilities across the data centre sector. Acting on behalf of owners and end-users, the team is deeply involved from early design through construction, commissioning, and handover, ensuring performance, reliability, and long-term operational success.

They are seeking a Mechanical Engineering Lead to take ownership of mechanical systems delivery for data centre new build and infrastructure fit-out projects.

The Role

As the Mechanical Engineering Lead, you will provide technical leadership across design, construction, and commissioning. You will advise on engineering design decisions, constructability, risk, and performance, ensuring mechanical systems are delivered to the highest technical and operational standards.

This is a senior, hands-on role suited to a self-starter who is comfortable working across multidisciplinary teams and engaging directly with consultants, contractors, and stakeholders.

Responsibilities

Mechanical Design & Engineering Leadership

• Lead the design, development, and implementation of mechanical systems for data centre new build and infrastructure fit-out projects

• Prepare and review mechanical specifications, technical drawings, and construction documentation, including HVAC, piping, and equipment layouts

• Evaluate and select mechanical equipment and systems to ensure performance, redundancy, and constructability

• Perform and review HVAC load calculations, airflow analysis, and energy modelling to optimise system efficiency and resilience

• Assess design options and conduct feasibility studies and cost analyses, proposing value-driven improvements where appropriate

Construction & Commissioning Support

• Provide technical leadership during construction, including review of contractor submittals, RFIs, and design clarifications

• Conduct site inspections to ensure works comply with design intent, specifications, and applicable codes

• Support and participate in commissioning, testing, and integrated systems validation

• Troubleshoot mechanical and HVAC system issues to ensure readiness for operations and handover

Stakeholder & Project Collaboration

• Collaborate closely with architects, engineers, project managers, and client stakeholders to integrate mechanical systems seamlessly into the overall project

• Act as a key technical interface between the client, consultants, and contractors

• Ensure mechanical systems align with operational, maintenance, and lifecycle requirements

Continuous Improvement

• Stay current with industry trends, regulations, and emerging technologies in data centre mechanical and HVAC systems

• Apply best practices in energy efficiency, sustainability, and system resilience to improve design and delivery outcomes

Requirements

• Bachelor’s degree in Mechanical Engineering or related discipline

• 10+ years of experience designing and managing mechanical systems for data centre new build and infrastructure fit-out projects

• Strong experience in HVAC systems, including chillers, cooling towers, AHUs, control systems, and redundancy strategies

• Experience with plumbing, piping, and fire protection systems

• Professional Engineer (PE) licence is preferred

• Proficient in tools such as AutoCAD, Revit, Autodesk Construction Cloud, Procore, or similar platforms

• Strong understanding of codes, standards, and best practices for mission-critical mechanical systems

• Experience with energy-efficient and sustainable mechanical design
  

  How to Apply: Click Apply Now, or send your resume directly to:  Talent@BuildBridgePartners.com
  
  
  

  
  
  

  
  
  

  EA Name: BuildBridge Partners Pte Ltd
  EA License No: 25C2918
  EA Reg No: R1551092
  Consultant: Khoo Yan Jie

Join our collaborative environment, where you'll contribute to our strategy and make an impact on product success. As a Product Associate in the Market Data Services team, you will act as a primary point of contact for stock exchanges and other third-party market data vendors, supporting market data licensing for JPMorganChase proprietary applications, ensuring compliant use of licensed data, and supporting third-party vendor audits. You will collaborate with internal technology teams to understand data usage and partner with Global Sourcing and Legal to review and implement new and updated licensing. As a valued member of the team, you will have the opportunity to learn and grow in a dynamic and fast-paced environment, making a tangible impact on our products and customer experiences.

Job responsibilities

• Serves as a primary contact for exchange and third-party market data vendor relationships, supporting day-to-day queries, renewals/updates, and ongoing engagement

• Supports the implementation and maintenance of market data licensing for proprietary applications by partnering with application and technology teams to understand how data is accessed, used, and distributed

• Helps ensure compliant usage of third-party market data by translating licensing terms into practical requirements and supporting tracking/attestations where applicable

• Coordinates and supports third-party vendor/exchange audits (evidence collection, stakeholder coordination, issue tracking, and remediation follow-through to closure)

• Partners with Global Sourcing and Legal to support review and implementation of new and updated licensing terms, including assisting with contract interpretation and operationalization

• Builds strong relationships with vendors/exchanges and internal stakeholders to maintain appropriate licensing coverage in a continually evolving market data landscape

• Communicates clearly across business, technology, legal, sourcing, and vendor stakeholders; escalates risks/issues with appropriate context and recommended actions

Required qualifications, capabilities, and skills

• Bachelor's degree in Business Administration, Accountancy, Economics or equivalent

• Formal training or 2+ years applied experience in project management, compliance, audit, vendor management or operations

• Strong communication skills and stakeholder management across internal teams and external vendors

• Basic understanding of market data concepts and common vendor offerings (e.g., difference between data feeds and terminals; how market data is used within financial institutions)

• Strong organizational and prioritization skills with attention to detail; ability to manage multiple workstreams and deadlines

• Proficiency with Microsoft Office (Excel, PowerPoint, Outlook)

Preferred qualifications, capabilities, and skills

• Experience reading and understanding contracts/terms (e.g., licensing terms, usage restrictions, audit clauses) and applying them in day-to-day execution

• Audit experience (e.g., supporting or running audits, working with business stakeholders, gathering evidence, managing actions to closure)

• Foundational technical knowledge, including conceptual understanding of application development and core infrastructure components (e.g., networks, servers), sufficient to partner effectively with technology teams

• Understanding of AI tools or automation to enhance workflows and improve efficiency

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=f4a8646490a976eece75e5d7ca5d8ad8

Job Description:

Combine AI/ML and Technology knowledge to implement highly scalable solutions to solve real-world problems in areas such as Generative AI, Personalization, Image Recognition, Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions

• Build solutions from identifying business problems, to collecting training dataset, to analyzing data, to modeling, to validating and to delivering production grade solutions at scale.
• Research latest related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions.
• Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale
• Drive both high-level and detailed technical designs and conduct design reviews as needed
• Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration
• Provide technical mentorship to team members at junior levels
• Actively participate in business and technical discussions and forums

Working days: either 4 days 12 hours rotating shift or 5 days work week

Location: Islandwide , office at Woodlands

Salary: $2800 -$3500 depends on experience

Job scope:

• Semiconductor machines startup and installation

• Perform equipment on-site installation, diagnosing, troubleshooting, servicing, and repairing

• Perform equipment continuous improvement programmes, preventive maintenance, modifications and repairing works

• Serves as company contact point with customer on technical matters

• Attends to customers complaints and provides timely solutions

• Other ad hoc duties

Requirements:

• Nitec/ Diploma in Mechanical/ Mechatronic Engineering or related discipline

• Hands-on experience in semiconductor machine maintenance

• Able to work in cleanroom environment
  

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Shenton Way

8.30amto 5.30pm (Mondays to Fridays) / 9.00am to 6.00pm (Mondays to Fridays)

Responsibilities

• Understand the structure of each deal & items stating in the checklist prior preparing the reconciliation template
• Close follow-up with Line Manager to ensure checklist is drawn up for each agreement prior the deal commences, making sure the checklist is updated whenever there’s changes to the deal
• Setup contract details in system together with billing instructions to facilitate correct invoicing to customers
• Update customers on the monthly slot charges with bunker update & ensure correct fixed slot invoices issued promptly to customers
• Extract customers’ loading information – to scrutinize the report & probe agents for clarification on any data discrepancies, also follow up to ensure system gets updated with correct records
• Submit reconciliation statement to customers on their slot usage against their slot commitment, it has to be drawn up accurately & submit within stipulated timeframe
• Follow up with customer for the statement confirmation & ensure accurate & timely issuance of invoices
• Handle queries raised by customers & resolve the disputes independently
• Any other adhoc duties as assigned.

Requirements

• Minimum Diploma in Shipping/ Logistics/ Maritime studies or similar specialization.
• Preferably 2 to 3 years’ working experience in shipping industry. Entry level candidates are welcomed to apply.
• Strong working knowledge of MS Office in particular MS Excel

Jessica Nguyen Huynh Thanh Truc

CEI Reg. No. R23113787

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

Job Responsibilities

• Guide customers through available loan products and explain financial solutions clearly

• Assist customers with the full application process, including form completion and document verification

• Handle product enquiries and provide accurate information on requirements, eligibility, and processing timelines

• Maintain high standards of customer experience, ensuring every interaction is professional and service-oriented

• Build rapport with customers and support them in making well-informed decisions

• Ensure compliance with company procedures and industry guidelines

• Manage daily branch duties such as queue flow, basic administrative tasks, and service reporting

• Work closely with teammates to maintain smooth branch operations across both locations

• Rotate between Bugis and Hougang branches on a scheduled basis

Requirements

• Strong communication skills and a customer-centric mindset

• Providing a Great, reliable, and professional attitude when dealing with walk-in customers

• Applicants must be able to work in Hougang (Near MRT)

• Able to work a shift schedule, including at least one weekend day each week

• Able to follow structured processes and handle documentation accurately

• Responsible, and able to work both independently and as part of a team

• Prior experience in loan advisory, financial services, or customer service is an advantage — but not mandatory (training provided)

Benefits

• Stable monthly salary with increment upon confirmation

• 5-day work week with one guaranteed weekend off

• Comprehensive on-the-job training

Interested candidate, kindly click on APPLY NOW

We regret that only short-listed candidates will be contacted shortly.

EA License No. | 12C6253

EA Registration No. | R1105417

EA Personnel | Chia Meng Yong ( Kenny )

You will...
• Ensures the data integrity during data processing.
• Verify the accuracy and validity of data processed.
• Resolve and check any quality issues raised by supervisors/clients.
• Maintain positive working relationships and open communication with local, regional and global colleagues.
• Continually innovate, develop and suggest enhancements to gain better work efficiency
• Ensure that the company’s regional and global standards are always adhered to all the times.

You have...
● Diploma or Degree in any other related fields.
● Proficiency in MS Word, MS Excel, and MS PowerPoint Ability to work independently with the ability to prioritize and multi-task; able to think rationally under pressure.
● Fresh graduates are encouraged to apply.

Data Analytics

• Spearhead the design and execution of end-to-end data analytics strategies.
• Develop and manage automated data pipelines and ETL workflows.
• Perform data cleaning, preprocessing, and validation to maintain high data accuracy and integrity.
• Utilize advanced statistical and data mining techniques to analyze extensive healthcare datasets.
• Build and maintain interactive dashboards with user-friendly visualizations tailored for non-technical stakeholders.
• Deliver in-depth analytics to support clinical research and quality improvement projects, especially in areas like chronic disease management (e.g., diabetes, kidney disease, asthma).
• Create predictive models and deploy machine learning solutions, including large language models (LLMs).
• Collaborate with clinical teams to integrate Patient-Reported Outcome Measures (PROMs) into existing care processes.
• Work closely with GTO and AIO teams to improve data visibility and accessibility.
• Design and apply LLM-based solutions to streamline and optimize patient care pathways.

Data Quality & Monitoring

• Conduct regular validation to ensure the integrity and consistency of datasets.
• Detect and interpret key trends, patterns, and insights from healthcare data.
• Establish and maintain robust data quality assurance and validation protocols.
• Generate and present clear, data-driven reports and visualizations to stakeholders.
• Ensure all data visualizations are user-centric and accessible to non-technical users.
• Liaise with cross-functional teams to gather and address their specific data requirements.

Data Governance & Protection

• Implement stringent data security policies and access controls.
• Supervise data standardization and quality management initiatives.
• Ensure adherence to data privacy laws such as PDPA and HBRA.
• Develop secure protocols for safe data exchange and collaborative access.
• Promote ethical AI usage and ensure responsible deployment of LLM technologies.

Key Requirements

• Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Analytics, Statistics)
• Minimum of 2 years’ experience in healthcare analytics or a similar field.
• Strong programming skills in Python, R, and SQL.
• Hands-on experience with data visualization platforms such as Tableau, Power BI, or TIBCO Spotfire.
• Proficiency with cloud analytics environments, especially Databricks.
• Solid foundation in statistical methods, including predictive modeling, A/B testing, and time-series analysis.
• Skilled in deploying and fine-tuning AI/ML models, including LLMs, within healthcare contexts.
• Experience working with cloud providers, particularly AWS.
• Familiarity with container technologies like Docker and Kubernetes.
• Experience using modern web frameworks such as Streamlit, NextJS, and TypeScript.
• Proficient in REST API development using frameworks like FastAPI.
• Understanding of database design, with hands-on experience using tools like SQLAlchemy.
• Capable of working with large and complex datasets.
• Proficient in using Git for version control and collaborative coding.
• Strong grasp of CI/CD pipelines and DevSecOps best practices.
• Knowledge of medical terminology and healthcare IT systems.
• Demonstrated ability to manage stakeholders and drive successful project outcomes.
• Excellent analytical thinking and problem-solving capabilities.
• Effective communicator with strong presentation, writing, and interpersonal skills.
• Highly detail-oriented, with a commitment to accurate data handling and analysis.
• Able to convert business challenges into technical data solutions.
• Team-oriented, proactive, and capable of thriving under time constraints.
• Comfortable working both independently and collaboratively in dynamic environments.

To apply, please visit www.gmprecruit.com

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

• Possess a degree in Computer Science/Information Technology or related fields.
• Min 8 years of relevant working experience in software or data engineering with proficiency in Python.
• Strong experience in unit and integration testing.
• Familiarity with DevOps practices and Agile methodologies.
• Strong software engineering, analytical and problem-solving skills.
• Good team player and communication skill.
• CAT-1 cleared/eligible candidate is required for this role.
• Experience in AWS and Kubernetes (K8s)
• Familiarity with data platforms such as Snowflake, Apache Spark, or Apache Hive, as well as orchestration tools like Apache Airflow, Dagster, or Prefect.
• Familiarity with GitHub workflows and Datadog.
• Develop and maintain data pipelines and ETL/ELT processes, and ensuring maintainability through unit and integration testing.
• Collaborate with data teams to understand requirements and automate deployment and monitoring.
• Optimize data storage and troubleshoot issues to enhance performance.

Roles & Responsibilities

• Explore both qualitative and quantitative data sets, perform in-depth analysis to derive actionable insights, identify problems, and propose data-driven solutions for the WeChat ecosystem
• Collect large sets of structured and unstructured data from independent sources; clean, validate, and transform data to ensure accuracy, completeness, and uniformity
• Design and maintain dashboards, reports, and automated data pipelines to support ongoing business monitoring and decision-making
• Analyze data to identify patterns, trends, and anomalies, uncovering potential opportunities and/or threats to the WeChat ecosystem
• Interpret findings to discover solutions or opportunities and build story-boards to communicate insights to the business for action
• Own and evolve the computer vision infrastructure, including building, optimizing, and maintaining CV model training/serving pipelines, evaluation frameworks, and related toolchains
• Develop and deploy computer vision solutions (e.g., image/video understanding, OCR, content moderation, multimodal analysis) to address business needs across the WeChat ecosystem
• Leverage LLM-based approaches and other machine learning / deep learning techniques where appropriate to enhance analytical capabilities and support intelligent product features

Knowledge & Competencies:

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Mathematics, Statistics, Data Science, or a similar quantitative field
• Hands-on experience with LLM application development (e.g., fine-tuning, RAG, Agent frameworks such as LangChain/LlamaIndex/AutoGen) is strongly preferred
• Experience with computer vision models (e.g., object detection, image classification, multimodal models) is a plus
• Good knowledge of Python; familiarity with C/C++ is a plus
• Familiarity with mainstream deep learning frameworks (PyTorch, TensorFlow) and model deployment tools (e.g., Docker, FastAPI, TensorRT) is preferred
• Experience with vector databases (e.g., Milvus, FAISS, Pinecone) or data pipeline tools is a plus
• Ability to communicate complex technical ideas to non-technical stakeholders in a clear and accessible manner
• Self-driven, innovative, and collaborative, with strong communication and presentation skills; able to bridge business and technical audiences
• Fluency in both English and Mandarin to collaborate with international stakeholders and headquarters-based teams
• A passion for exploring new technologies and a proactive approach to solving complex engineering challenges.

Job Duties & Responsibilities:

1. Work with large and complex financial datasets to develop end-to-end data science solutions for pricing various financial products, dynamic campaign optimization, and customer personalization.
2. Conduct research and literature review to assess and evaluate trade-offs between different quantitative algorithms and models.
3. Implement and train AI/ML models and optimize algorithm efficiency (GPU distributed computing, concurrent programming)
4. Refactor and document code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems, and perform sub-system integration as required.
5. Integrate solutions into enterprise MLOps ecosystem and automate CI/CD pipelines for model lifecycle maintenance and monitoring.

Requirements:

1. Good understanding of the data science production life cycle with demonstrable experience working with structured, semi-structured and unstructured data.
2. Excellent software skills (Python, SQL variants) and knowledge in design patterns, code optimization, object-oriented programming.
3. Experience applying quantitative and machine learning algorithms for pricing and marketing.
4. Demonstrable expertise in some of the following domains - econometrics, statistical modelling, time-series analysis, signal processing, reinforcement learning, estimating causal relationships/ counterfactual effects, dynamic pricing.
5. Solid understanding of foreign exchange markets, including knowledge of currency pairs, market dynamics, and key drivers.
6. Hands-on experience in designing and executing digital campaigns and experimentation (A/B, Multivariate, Bandits, Sequential, quasi-experiments), evaluation methodologies (DiD variants), and conducting experiments to optimize campaign performance.