Total 4,042 data entry job vacancies in Hong Kong

About Our Client

Our client is a regional data centre solutions provider that merges engineering excellence with sustainability to deliver world-class facilities across Asia.

Their integrated approach covers concept design to operation, with a focus on energy efficiency, scalability, and high-density computing readiness.

How to Apply

Leader in data centre development, delivering high-performance, mission-critical facilities across APAC. They are seeking a Head of Regional Engineering – Data Centres to lead engineering practices, standardise design approaches, and drive innovation across greenfield and brownfield projects.

This is a strategic leadership role, overseeing multidisciplinary teams, guiding design and delivery, and ensuring operational efficiency, sustainability, and technical excellence across multiple projects and countries.

Leadership & Strategy

• Lead and mentor a team of engineering specialists, project managers, and energy managers across the region.

• Foster a culture of creativity, collaboration, innovation, and technical excellence.

• Participate in strategic planning with senior stakeholders to align engineering outcomes with business objectives.

• Support the attraction and recruitment of top-tier engineering and project management talent.

Data Centre Development & Engineering Oversight

• Oversee greenfield and brownfield data centre projects from site selection, design, tender, construction, to commissioning.

• Engage and manage consultants (Architect, M&E, C&S, Energy, etc.), overseeing design development, cost estimates, and tender processes.

• Provide technical leadership for complex M&E systems, identifying single points of failure and resolving engineering challenges in cooling, power, and mission-critical systems.

• Drive research and adoption of new technologies and construction methodologies to improve energy efficiency, water usage, operational productivity, and sustainability.

Project Delivery & Financial Oversight

• Review and monitor project budgets, cost control, and financial performance.

• Ensure projects are delivered on time, within scope, and aligned with business and customer requirements.

• Implement initiatives to optimise PUE, WUE, carbon footprint, and operational efficiency across the data centre portfolio.

Requirements

• Bachelor’s degree in Mechanical, Electrical, Project Management, Architecture, or related discipline.

• 15+ years of professional experience, including 10+ years in data centre development and engineering.

• Proven experience in leading multidisciplinary engineering teams and managing stakeholders across multiple projects/regions.

• Strong M&E expertise with experience in power, cooling, and mission-critical systems.
  
  
  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

Leading international project management and construction consultancy with a strong global footprint across mission-critical and data centre developments. Known for delivering complex projects for hyperscalers, colocation providers, and enterprise clients, the organisation emphasises collaboration, professional growth, and long-term client relationships.

They are currently seeking a Project Manager (Electrical) to support the delivery of electrical packages on data centre construction projects.

The Role

In this role, you will be responsible for supporting the successful delivery of electrical works on data centre projects, working closely with clients, consultants, and contractors to ensure programme, quality, and safety objectives are achieved.

Responsibilities

• Support the delivery of electrical packages across data centre construction projects

• Attend and contribute to key project meetings to monitor progress, resolve issues, and communicate impacts to stakeholders

• Implement and monitor project procedures and governance processes

• Partner with the client team to review and improve project controls, workflows, and reporting

• Maintain a strong on-site presence, monitoring progress and promoting safe work practices

• Produce and manage weekly action plans for critical activities and follow up with all stakeholders through to completion

• Review proposed variations, change requests, and programme delays

• Coordinate with clients, consultants, and contractors on snagging, commissioning readiness, and close-out activities

Requirements

• 4 years of construction project management experience with a strong electrical background

• Experience on data centre or mission-critical projects is highly preferred

• Degree in Electrical Engineering, Construction Management, Project Management, or related discipline
  

  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

Overview         

Responsible for project performance interms of HSE, schedule, design, scope quality, stakeholders, process, risk,project administration and cost. You will be required to perform dutiesdiligently to the quality standards set by the Company and conform to the Company’s policies and business systems and be always committed to theirimplementation and continuous improvement.

Your role

• Project execution and administration using established work processes and company quality management systems.
• Leading interactive planning sessions and establishing project schedules.
• Risk identification and establishing project risk register.
• Liaising with the client and stakeholders to ensure all client requirements related to the work packages are met, in accordance with company procedures.
• Managing all employees under your report to ensure they are working efficiently and completing tasks correctly.
• Assist in all procurement/contract administration activities, including but not limited to preparing technical specification, reviewing, and analysing submissions, preparing reports, negotiating with tenderers/contractors, chairing and writing minutes, administering awarded contracts and closing final accounts for awarded contracts.

About you

• Preferred Degree Holder in Engineering/Architecture/Interior Design or relevant discipline.
• Have a minimum of 10 years of relevant experience across Data Centre / Telecom projects
• Understanding of modular construction will be an advantage
• Excellent communication and presentation skills
• Professional accreditation preferred e.g. PMP, RICS, CIOB
• With good understanding of statutory submissions following Fitting out work
• Able to work independently and run construction meetings
• Able to coordinate between stakeholders including clients, consultants and contractors
• Candidate with less experience can be considered as a Project Manager

Rewards & benefits

Explore the rewards and benefits that helpyou thrive – at every stage of your life and your career.

This includes:

• Comprehensive life insurance coverage.
• Premium medical insurance.
• Generous annual leave balance.
• Flexible and hybrid work solutions.
• Remote work opportunities outside of country.
• Discretionary bonus program.
• Relocation assistance.
• Transportation & housing allowances (available for remote work locations).
• Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition.

Seize every opportunity to sharpen yourskills, expand your expertise, and be recognized for the impact you make.

About AtkinsRéalis

We're AtkinsRéalis, a world-classengineering services and nuclear organization. We connect people, data andtechnology to transform the world's infrastructure and energy systems.Together, with our industry partners and clients, and our global team of consultants,designers, engineers and project managers, we can change the world. We'recommitted to leading our clients across our various end markets to engineer abetter future for our planet and its people.

Find out more.

• Develop and maintain enterprise reporting solutions and business intelligence dashboards for insurance operations. 

• Analyze insurance data across policy, claims, underwriting, customer, finance, actuarial, and regulatory domains. 

• Design and deliver interactive dashboards, reports, and analytics solutions using Power BI, Microsoft Fabric, Qlik Sense/QlikView, and Tableau. 

• Work with business stakeholders to understand requirements and translate them into data-driven insights. 

• Develop KPI dashboards covering premium growth, loss ratio, claims performance, underwriting profitability, customer analytics, and operational metrics. 

• Build and optimize data models, reporting layers, and self-service analytics capabilities. 

• Work with Microsoft Fabric components including Lakehouse, Data Warehouse, One Lake, Dataflows Gen2, Semantic Models, Notebooks, and Pipelines. 

• Support data integration, data warehousing, ETL/ELT processes, data quality, reconciliation, and governance initiatives. 

• Collaborate with underwriting, claims, actuarial, finance, risk, compliance, and technology teams. 

• Minimum 3 years of experience in Data Analytics, Business Intelligence, or Reporting. 

• Hands-on experience in to BFSI domain  

• Strong experience with Power BI, Microsoft Fabric, Qlik Sense/QlikView, and Tableau. 

•  Strong SQL development skills with experience in query optimization. 

• Good understanding of Data Warehousing, Data Modeling, ETL/ELT, and Data Governance concepts. 

• Experience with Azure Data Services and cloud analytics platforms. 

• Knowledge of KPIs such as GWP, NWP, Loss Ratio, Combined Ratio, Claims Leakage, Claims Turnaround Time, and Customer Retention Metrics. 

• Experience with Python, Spark, Databricks, or Machine Learning will be an added advantage. 

• Relevant certifications in Power BI, Microsoft Fabric, Azure Data Engineering, Tableau, Qlik, or Insurance domain are preferred. 

. 

Overview:

This role involves coordinatingmanpower, monitoring progress, and supporting quality checks for successfulproject delivery

Your Role:

• Supervise and coordinate all mechanical works at the construction site, including equipment installation, alignment, and testing.
• Ensure work is carried out according to approved drawings, specifications, and safety regulations.
• Monitor daily progress, manpower allocation, and equipment utilization to meet project timelines.
• Conduct site inspections and verify compliance with quality standards and regulatory requirements.
• Liaise with engineers and other disciplines to resolve technical issues and implement design changes.
• Prepare daily and weekly progress reports, punch lists, and assist in material tracking.
• Ensure proper handling and installation of mechanical equipment, piping, and related components.
• Enforce safety protocols and maintain a safe working environment for all personnel.
• Support pre-commissioning and testing activities as required.
• Perform other duties as assigned by the Project Director

About you:

• Diploma or Certificate in Mechanical Engineering or related discipline.
• 8 years of relevant experience across Data Centre / Telecom projects.
• Strong knowledge of mechanical systems, equipment installation
• Understanding of modular construction will be an advantage
• Familiarity with international codes and standards (ASME, API, ISO, etc.).
• Experience in site coordination and working with multicultural teams.
• Good communication and leadership skills.
• Ability to read and interpret mechanical drawings and specifications.
• Knowledge of safety regulations and site compliance requirements.

Rewards & benefits

Explore the rewards and benefits that help you thrive – atevery stage of your life and your career.

This includes:

• Comprehensive life insurance coverage
• Premium medical insurance
• Generous annual leave balance
• Flexible and hybrid work solutions
• Remote work opportunities outside of country
• Discretionary bonus program
• Relocation assistance
• Transportation & housing allowances (available for remote work locations)
• Employee Wellbeing Program: 24/7 access to specialists in finance, legal matters, family care, personal health, fitness, and nutrition

Seize every opportunity to sharpen your skills, expand yourexpertise, and be recognized for the impact you make.

About AtkinsRéalis

We're AtkinsRéalis, a world-class engineering services andnuclear organization. We connect people, data and technology to transform theworld's infrastructure and energy systems. Together, with our industry partnersand clients, and our global team of consultants, designers, engineers andproject managers, we can change the world. We're committed to leading ourclients across our various end markets to engineer a better future for ourplanet and its people.

Findout more.

Project Description: We are seeking a skilled and experienced Data Engineer to join our Data & Analytics team. The ideal candidate will have a strong background in Snowflake SQL, investment reporting data, and financial knowledge related to investment management. As a Data Engineer, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support investment reporting and analytics.

Responsibilities:
- Design, implement, and maintain scalable and efficient data pipelines using Snowflake and SQL.
- Develop data models, ETL processes, and data integration workflows to ensure high data quality and reliability.
- Optimize data storage and retrieval performance in Snowflake.

Data Manipulation and Transformation:
- Perform complex data manipulation and transformation using SQL to prepare data for analysis and reporting.
- Implement data cleansing, aggregation, and enrichment processes to ensure data accuracy and consistency.
- Develop and maintain reusable SQL scripts and stored procedures for data processing.

Collaboration and Support:
- Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet their needs.
- Provide technical guidance and mentorship to junior data engineers and other team members.
- Work closely with IT and DevOps teams to ensure seamless data integration and deployment.
- Data Layer Preparation:

Design and build data layers to support various analytical and reporting needs.
- Ensure data layers are well-documented, easily accessible, and performant.
- Implement data governance and security best practices to protect sensitive information.
- Performance Tuning and Optimization:

Monitor and optimize the performance of data pipelines, databases, and queries.
- Identify and resolve performance bottlenecks to ensure timely and efficient data processing.
- Stay up-to-date with the latest trends and best practices in data engineering and apply them to improve our data infrastructure.
Mandatory Skills Description:
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

Experience:
- Minimum of 1-2 years of experience in data engineering, with a strong focus on SQL and data manipulation.
- Proven experience working with Snowflake or other cloud-based data warehousing solutions.
- Experience with Tableau
- Strong background in designing data model and building scalable data pipelines and data models.
- Solid understanding of financial instruments, investment operations, investment reporting and portfolio management concepts.
- Knowledge of investment performance measurement, risk analysis, and portfolio management concepts.

Skills:
- Expert-level proficiency in SQL, with the ability to write complex queries and optimize them for performance.
- Strong experience with ETL tools and processes.
- Familiarity with Tableau
- Knowledge of data governance, security, and compliance best practices.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.

Nice-to-Have Skills Description:
- Familiarity with programming languages such as Python, LLM, Langchain

The Data Center Operations Engineer is responsible for the daily operation, maintenance, and optimization of data center infrastructure, including electrical, HVAC, and ELV systems. This role ensures facility reliability, safety, and efficiency through proactive monitoring, risk management, and continuous improvement.

Perform daily operation, maintenance, and routine inspectionsprovement. The position requires hands-on technical ability, strong analytical skills, and strict adherence to operational and emergency procedures.

Perform daily operation, maintenance, and routine inspectionsprovement. The position requires hands-on technical ability, strong analytical skills, and strict adherence to operational and emergency procedures.

of data center electrical, HVAC, and ELV systems, ensuring stable and continuous operation.

Execute scheduled preventive maintenance (PM) plans and handle system faults promptly and accurately.

Conduct facility safety, risk, capacity, and availability management, continuously optimizing systems to improve operational efficiency and cost-effectiveness.

Maintain infrastructure data accuracy (100%), regularly check alarm configurations, and ensure monitoring platform stability and reliability.

Conduct facility inspections per company requirements, including equipment status checks, MOP (Method of Procedure) review, and maintenance tracking.

Respond rapidly to incidents and emergencies following EOP (Emergency Operation Procedures) and incident management standards; provide on-site support and reporting.

Analyze root causes of incidents, conduct post-event reviews, and summarize lessons learned for continuous improvement.

Familiarize with the power distribution, cooling, and ELV architecture within assigned data centers; quickly locate and resolve faults when issues occur.

Prepare and implement change MOPs independently, ensuring no incidents result from planned changes.

Participate in optimization and upgrade projects, ensuring smooth on-site execution and coordination.

Propose technical improvements or modification plans for infrastructure monitoring, capacity, safety, and availability.

Provide technical guidance, mentorship, and training for frontline operation staff.

Ensure quick response and arrival per incident management policy.

Strictly comply with all operational procedures, safety policies, and company regulations.

Complete other assignments as defined in the Service Contract, Outsourcing Specification, or as required by the company or project team.
Qualifications

Education: Full-time college diploma or above (Associate Degree or higher).

Major: Electrical Engineering, HVAC, or other related disciplines.

Experience: Minimum 3 years of relevant experience in data center facility operation and maintenance.

Strong understanding of data center infrastructure systems, including electrical distribution, cooling, ELV, and monitoring systems.

Familiar with mainstream facility brands and models, capable of identifying differences and proposing optimization suggestions.

Demonstrated ability to conduct root cause analysis and implement effective preventive actions.

Capable of independent MOP preparation and execution with zero error rate.

At Alcon, we are driven by the meaningful work we do to help people see brilliantly. We innovate boldly, champion progress, and act with speed as the global leader in eye care. Here, you’ll be recognized for your commitment and contributions and see your career like never before. Together, we go above and beyond to make an impact in the lives of our patients and customers. We foster an inclusive culture and are looking for diverse, talented people to join Alcon.

As a Data Scientist under Manufacturing Science & Technology (MS&T) Department, you will be primarily responsible for driving automation initiatives within the Manufacturing Science & Technology team by managing system changes, enhancements, and validations while ensuring compliance with project documentation and SOPs. Supports SMART manufacturing projects through data analysis, reporting tool administration, and system support to enable efficient, data-driven operations.

In this role, a typical day will include:

• Manage system change and related enhancement/bug fix, review project documentation and related SOPs and perform system validation
• Analyzes data to generate insights and predictions
• Maintain, support and administrate reporting tool and related applications.
• Lead and support SMART Manufacturing/Automation initiatives related projects. Develop/review project documentations and related SOPs.
• Perform system/software validation

WHAT YOU’LL BRING TO ALCON:

• Bachelor degree of related fields (computer science or equivalent)
• Proficient in any programming language is required for this role
• Minimum 3 - 5 years relevant working experience in IT software development lifecycle, system implementation and system maintenance and supports.
• Hands on knowledge on automation engineering, PLC/SCADA/MES systems, Microsoft SQL/Oracle/Access database/Python/R/Microsoft Visual Basic/C#/ASP.net programming and IT (Infrastructure and Network).
• Knowledge on 21 CFR Part 11 (computerized system validation) is preferred but not a MUST
• Training will be provided for those without experience

HOW YOU CAN THRIVE AT ALCON:

• Good team player
• Enjoy working with various cross functional team across manufacturing site

Alcon Careers

See your impact at alcon.com/careers

The Data Operations Analyst  is responsible of reformatting the retailer and vendor input files, validations, outlier checks and sending the deliverables to the next workstream in a correct and timely manner.  

• Be the contact for questionable sales and stores trend, leading the resolution in a client-focused and timely manner in cooperation with Input Validation, Retailer Vertical/ Retailer Engagement team and other downstream functions. To be able to identify, investigate and coordinate the resolution of data, process, or product related queries 
• Plan and execute complex daily personal workload and support to meet departmental and company schedules 
• Analyze and identify gaps and areas for improvement in reformatting and validations environment (CIP – Consumer Information platform) and drive convergence of processes and tools 

• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices 
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction 
• Operate in a virtual/multi-cultural environment, liaising with stakeholders and colleagues

Act as the key local expert and lead user for planning-relevant master data, ensuring high consistency, quality and reliability of data used in Blue Yonder to support holistic planning of the semiconductor production network.

Serve as a critical interface between business, specialty departments, IT, and external IT service providers, driving further development, stabilization and continuous improvement of master data and planning IT solutions.

Utilize cost advantages of LCL.

• Drive end‑to‑end planning master-data quality and governance, ensuring reliable, usable data across business functions
• Act as technical lead for analytics and data solutions (Power BI, SQL Oracle/MSSQL, KNIME, databases, web/UI tools)
• Responsible for maintenance and enhancement of master data applications and UIs (e.g. Tivity) aligned with business needs
• Drive dashboards and advanced analytics to enable planning excellence, transparency, and self‑service insights
• Lead root cause analysis of complex data issues, implementing sustainable, preventive solutions
• Define, monitor and improve data governance frameworks, validation rules, workflows, KPIs and operating models
• Identify data quality trends and drive automation, structural improvements and scalability
• Ensure data solutions effectively support planning processes (demand planning, logistics interfaces, master data flows)
• Manage global and local stakeholder expectations, priorities and dependencies with clear, business‑oriented communication
• Motivate and develop the team by setting technical standards, best practices and ways of working
• Foster a culture of ownership, continuous improvement, analytical thinking and knowledge sharing
• Lead and contribute to PJM1‑SO projects, driving innovation, efficiency and advanced analytics adoption

We are looking for Senior Consultant/ Associate Manager, Data Governance Expert from Banking Industry for a Permanent role with our Client.

Responsibilities:

• Act as the subject matter expert for data governance, collaborating closely with the Finance team in Singapore and engaging with stakeholders across Data Management, Risk Management, and IT.
• Lead execution of data governance initiatives by breaking down complex activities into actionable deliverables such as KDE identification, EUC inventory and criticality assessment, data aggregation process mapping, and implementation of data lineage systems.
• Apply prior experience and practical knowledge from past data governance projects to design effective solutions and drive successful outcomes.
• Develop and manage project plans with clear milestones, governance structures, and defined roles and responsibilities.
• Integrate Company’s project management methodology with the bank’s operational practices to ensure plans are both strategic and executable.
   

Requirements:

• Bachelor's degree in any related fields.
• Minimum 5 years of experience in data governance or data management roles within a financial institution, preferably banking.
• Proven ability to work in complex, multi-stakeholder environments involving business, IT, compliance, and vendors.
• Strong documentation skills using PowerPoint, Excel, and Word.
• Solid project management skills, including progress tracking, issue and risk management, and stakeholder coordination, experience preparing and delivering reports or presentations to senior management or executives and good stakeholder management and communication skills are a plus.
• Proficiency in business-level English across reading, writing, listening, and speaking will be beneficial for liaising with key stakeholders.
• Strong understanding of regulatory reporting, internal reporting, finance/accounting business processes, and related systems.
• Familiarity with data lineage concepts and tools (e.g. Collibra or similar platforms), understanding of finance and accounting business processes, regulatory reporting, and related systems are a plus.
• Prior collaboration with risk management and finance/accounting departments on external and internal reporting activities is highly beneficial.
• Ability to prepare and present clear, structured executive reporting.

We're building an AI-powered research platform for institutional investors. Our platform turns vast amounts of market, alternative, and proprietary data into actionable intelligence — powered by AI agents that depend on clean, reliable, real-time data to do their job.

We need someone to own data. Not manage a team that does data. Own it — from finding the right sources, to getting them flowing, to making sure they stay healthy at scale.

Today we ingest from hundreds of sources. That number is growing fast. The sources are diverse: real-time market feeds, regulatory filings, news, social sentiment, alternative datasets, and proprietary client data. Some are free APIs. Some are $10K/month enterprise contracts. Some are clients pushing their own data into our platform. Every one of them is different, and most of them will break in ways you don't expect.

You'll evaluate vendors, negotiate deals, build integrations, monitor quality, track costs, and make the call on what's worth paying for. When something breaks at 2 AM, you'll know why before the alert finishes firing.

This is an end-to-end ownership role. No handoffs.

Responsibilities

• Build and maintain integrations with a large and growing number of external data sources — APIs, WebSockets, file drops, streams, scrapers, and formats you haven't seen yet
• Evaluate and compare data vendors across quality, reliability, coverage, cost, and terms of service
• Negotiate contracts and manage commercial relationships with data providers
• Design and operate high-throughput ingestion pipelines handling mixed workloads (real-time, near-real-time, batch, event-driven)
• Build monitoring that tells you — before anyone else — when data is late, wrong, incomplete, or drifting
• Manage data quality at scale: anomaly detection, cross-source validation, schema drift detection, gap filling
• Handle both structured data (time-series, tabular) and unstructured data (documents, text, images) with appropriate extraction and storage
• Track costs per source, usage per consumer, and ROI — recommend what to keep, upgrade, or cancel
• Build tooling that makes adding the next data source faster than the last one
• Use AI tools aggressively in your daily work — for code generation, testing, documentation, anomaly analysis, and anything else that makes you faster

Requirements

You've done this before:

• 5+ years building data pipelines that run in production, 24/7, with real SLAs
• Deep hands-on experience with SQL databases and time-series data
• Python as your primary language, comfortable with async programming
• You've integrated with dozens of external APIs and dealt with the reality of unreliable vendors, changing schemas, rate limits, and bad documentation
• You've built monitoring and alerting for data systems — not as an afterthought but as part of how you work

You think about the whole picture:

• You don't just connect to an API. You think about what happens when it goes down, when the schema changes, when the data is wrong, when the bill doubles
• You understand that data has a cost and a value, and not every source is worth keeping
• You've worked with data vendors commercially — contracts, pricing tiers, usage negotiations

You use AI daily:

• AI coding tools are part of your workflow today, not something you're curious about
• You can articulate specifically how AI makes you faster and where it doesn't help
• You'd be frustrated if you couldn't use AI in your work

Nice to have

• Experience with financial market data
• Experience with streaming systems (Kafka or similar) at scale
• Vector database or embedding pipeline experience
• Experience with unstructured data extraction (PDFs, documents, NLP)

Perks & Benefits

• Senior individual contributor role with full ownership of the data domain
• Direct access to leadership — no bureaucracy, fast decisions
• AI tools provided and encouraged across all work
• Remote-friendly, async-first
• Compensation commensurate with experience

As a Data Scientist at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.

In This Role You Will Have The Following Responsibilities

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets and to deliver meaningful end-to-end solutions for users.

• Experience in the areas: computer vision, statistical modeling, deep learning, generative AI, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.

• Design and deploy computer vision models for object detection, image segmentation and anomaly detection.

• Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems.

• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.

• Coordinate production deployment activities, including cross-functional communications, approval and execution of changes in live environments.

• Strong verbal and written communication skills.

Required Qualifications and Technical Experience

• Mater/PHD Degree in Operation Research, Industry Engineering, Statistics with a strong academic foundation in linear programming and optimization

• Minimum 3 years of experience in operation research/optimization, preferably has working experience in the semiconductor industry and have applied optimization techniques in their daily work

• Strong foundation in Linear programming optimization modeling, advanced analytics, and  machine learning techniques.

• Ability to extract data from multiple databases using SQL and other query languages, including experience with data cleansing, outlier detection, and handling missing data.

• Strong proficiency in Python and linear programming, SQL, C#

• Proficiency in data visualization tools such as Tableau, Power BI, and related techniques.

• Proficiency in web development technologies, including Angular, FastAPI, and Docker.