Total 656 Senior Executive data entry job vacancies in Singapore

Key Responsibilities

• Promote and represent clients’ brands through direct marketing activities

• Engage with potential customers and build positive relationships

• Support marketing campaigns and brand awareness initiatives

• Achieve individual and team sales targets

• Work closely with team members to drive business growth

• Participate in training programs to develop sales and leadership skills

Requirements

• Good communication and interpersonal skills

• Positive attitude and willingness to learn

• Self-motivated and goal-oriented

• Able to work independently and in a team environment

• No prior experience required (training provided)

Benefits

• Structured training and development program

• Career advancement opportunities

• Supportive and collaborative team environment

• Performance-based incentives

Want to find out more? Apply now!

We are looking for a motivated personnel to join our team! If you are someone who enjoys working in a dynamic, team-oriented environment, this could be the perfect opportunity for you!

Responsibilities:

• Identify and engage with potential clients
• Promote products/services through various marketing strategies
• Maintain strong relationships with existing clients
• Lead a team executing marketing campaigns

Requirements:

• Excellent communication skills
• Proactive attitude with a desire to learn and grow in the field
• Ability to work both independently and as part of a team
• Willing to learn and a result-driven mindset

Benefits:

• Opportunities for career growth and advancement
• Ongoing training and professional development
• Travel opportunities
• Supportive team environment

As a Data Science Engineer 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.

Responsibilities include, but not limited to:

• Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.

• Interact with product and service teams to identify questions and issues for data analysis and experiments.

• Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.

• Identify meaningful insights from large data and metadata sources.

• Interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.

• Explore and apply new frontier ideas, concepts and technology to enable breakthrough solutions at Micron.

• Work with management, different departments, and global manufacturing sites to identify optimization opportunities and deliver solutions to continuously improve production metrics.

• Drive global collaboration, alignment, and benchmarking of optimization and simulation solutions in planning & operations

Minimum Qualifications & Skills Required:

• Bachelor's degree in Computer Science, Data Science, Industrial Engineering, Operations Research or equivalent with demonstrated strong programming and modeling capabilities.

• Past experience in semiconductor industry, especially in semiconductor operations digital twin

• Working experience in semiconductor or manufacturing operations simulation modeling using discrete event simulation

• Working experience in optimization modeling or Operations Research using sing mix integer programming, linear programming, etc.

• Knowledge and past experience with cloud solutions, API, GIT, ETL

• 3+ years of past experience in JAVA, Python, SQL, HTML, C/C++, CSS, and with demonstrated fast learning capacities in programing languages

• Strong problem solving skills with structured & logic approaches, clear & effective communication skills
  

  Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Responsibilities and Task

• Production Planning Optimization: Collaborate with domain experts to translate complex production planning problems (e.g., resource allocation, capacity planning) into AI/ML and Agentic solutions.

• Agentic AI Development:

• Design and implement multi-agent systems for Assembly and Test Planning and Operation.

• Build agent orchestration frameworks that coordinate multiple specialized agents (planning, scheduling, resource allocation, quality control).

• Implement tool-using capabilities, function calling, and agent memory systems.

• Implement comprehensive monitoring, logging and observability for agentic systems.

• RAG-LLM Development

• Identify potential data sources for RAG implementation.

• Develop advanced retrieval strategies including hybrid search, re-ranking, and contextual compression.

• Productionalization & Engineering

• Develop and maintain comprehensive unit tests for all code components.

• Implement guardrails, hallucination detection, and output validation.

• Optimize system performance, latency, token and cost efficiency.

• Mentorship: Guide and mentor junior data scientists, driving best practices in code quality, system architecture and applied AI research.

Required Qualifications & Skills

• Education/Experience:

• Master’s or Ph.D. in Computer Science, Data Science, Operations Research, Mathematics, or a related highly quantitative field.

• 5+ years of industry experience in Data Science. Proven track record in data science methodologies, machine learning, and statistical modeling, with hands-on experience in Generative AI/LLM projects.

• Technical Skills:

• Proficiency in Python, with strong knowledge of LLM, Agents, Machine Learning and Statistical Techniques.

• Familiarity with building streamlit, dashboards, and API.

• Project experience in AGILE, Software Development Lifecycle, JIRA, Change management, Release management and Configuration Management.

• Technologies:

• Google Cloud Platform, Git, Bitbucket.

• Data visualization tools (Streamlit, Tableau, Power BI, etc..)

• Docker, Containerization, Kubernetes.

• Soft Skills:

• Excellent communication skills (written and verbal) and stakeholder management.

• Ability to work multi-functionally with peers, senior and mid-level management.

• Strong problem solving skills with structured and logic approaches.

• Highly organized and adaptable to changing business needs.

Preferred Qualifications

• At least 2 years focused on Generative AI, or LLM applications. Prior experience in building agentic system is highly desirable.

• Knowledge of semiconductor manufacturing and planning processes and systems (e.g., MES, SAP), with experience in resource optimization or line management considered an advantage.

Responsibilities

• Design and manage search recommendation services and models to support the content team, empowering content ecosystem development.
• Utilize machine learning-based personalization methods, design patterns, and tools to enhance content matching and distribution efficiency.
• Deep understanding of recommendation systems within the content domain, leveraging business knowledge to drive AI product upgrades and improve content experience and business outcomes.
• Lead the development of core content recommendation modules using data-driven strategies to maximize content value and user impact.
• Collaborate with content, business, and product management teams to identify needs and opportunities within content scenarios, and jointly define success metrics.

Requirements

• MSc or PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics, with at least 5 years of relevant industry experience (experience in the content domain is preferred).
• Strong hands-on experience with popular machine learning frameworks such as PyTorch or TensorFlow.
• Experience in large-scale application development, preferably in content-related user-facing applications.
• Excellent cross-team collaboration skills with the ability to work effectively with global content teams.
• Publication record at top-tier conferences or journals is a plus.

Responsibilities

• Design and manage search recommendation services and models to support the content team, empowering content ecosystem development.
• Utilize machine learning-based personalization methods, design patterns, and tools to enhance content matching and distribution efficiency.
• Deep understanding of recommendation systems within the content domain, leveraging business knowledge to drive AI product upgrades and improve content experience and business outcomes.
• Lead the development of core content recommendation modules using data-driven strategies to maximize content value and user impact.
• Collaborate with content, business, and product management teams to identify needs and opportunities within content scenarios, and jointly define success metrics.

Requirements

• MSc or PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics, with at least 5 years of relevant industry experience (experience in the content domain is preferred).
• Strong hands-on experience with popular machine learning frameworks such as PyTorch or TensorFlow.
• Experience in large-scale application development, preferably in content-related user-facing applications.
• Excellent cross-team collaboration skills with the ability to work effectively with global content teams.
• Publication record at top-tier conferences or journals is a plus.

Looking for a fresh start or career switch? This is your opportunity to begin a career in sales and marketing with full training provided.

As an Entry-Level Sales & Marketing Executive, you will be part of a dynamic team working on events, roadshows, and face-to-face marketing campaigns, engaging with customers and representing well-known brands.

No experience is required — just a willingness to learn and grow.

We’re Hiring: Tech Senior Tech Recruiter (a.k.a. the person who finds tech unicorns faster than anyone else)

Do you have a radar for great tech talent?

Can you spot a brilliant engineer in a sea of LinkedIn profiles?

Do you thrive in fast-paced environments where speed, quality, and relationships matter?

If you answered YES, keep reading.

We’re looking for a Senior Tech Recruiter to join our teams by connecting exceptional tech talent with exciting projects across multiple business units.

Your responsibilities will include:

• Identifying and engaging technology professionals across engineering, cloud, data, and emerging tech

• Building strong pipelines of contractors and consultants ready to deploy into projects quickly

• Partnering with hiring managers to understand project requirements and talent needs

• Managing the full lifecycle of staff augmentation – from sourcing to onboarding

• Maintaining strong relationships with vendors, contractors, and internal stakeholders

• Moving fast without compromising quality (because projects don’t wait)

Ideal candidates will have:

• Experience in tech recruitment or staff augmentation

• Understanding of roles such as software engineers, cloud engineers, DevOps, data engineers, and architects

• Strong sourcing capabilities (LinkedIn, networks, referrals, communities)

• Ability to manage multiple roles and priorities in a fast-moving environment

• Excellent communication and stakeholder management skills

• A natural curiosity about technology and people

Start Your Career in Sales & Marketing 

✈️Meet people, travel, and build your skills in marketing & events. Fun team + career growth + incentives!

Responsibilities

• Face-to-face sales & marketing at events and roadshows
• Engage customers and represent established brands
• Achieve campaign and team targets
• Assist in planning marketing initiatives
• Recruit and develop future team members

Perks:

• Performance-based earnings with weekly payouts
• Fast-track career progression into leadership
• Travel opportunities & regional campaigns
• Energetic, supportive team culture

Who We’re Looking For

• Fresh graduates or career switchers
• Positive, driven, results-oriented mindset
• Strong communication and teamwork skills

As a Senior Data Scientist in Micron’s SMAI AT OI team, you will own and sustain MAS (Micron Advanced Scheduler) for backend AT operations and serve as the subject matter expert (SME) for factory scheduling systems. You will lead deployment strategy, governance, and process alignment with IT, while guiding sites to develop area-level SMEs. This role blends product/process ownership with deep technical leadership to ensure robust, scalable scheduling solutions across sites.
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.

Responsibilities include, but not limited to:

• Define and execute the MAS roadmap for backend AT; own ARCI, change control, and version/golden-copy management.

• Partner with IT on release pipelines, environment readiness, risk mitigation, and incident management.

• Translate business objectives into clear specifications and user stories; prioritize backlog and drive adoption (super-user enablement).

• Design, optimize, and sustain MAS scheduling logic (dispatching, Q-time controls, line-prioritization); lead L2/L3 troubleshooting in production.

• Develop robust solutions using C#, Python, and SQL; implement data packages for flow & demand.

• Build validation tooling and dashboards; perform release KPI checks and performance tuning.

• Integrate with simulation/heuristics engines and coordinate cross-team integration tests.

• Act as the MAS SME and guide sites to build area-level SMEs (examples above; not limited to these) via OJT, documentation, and BKM capture.

• Track KPIs/ROI; communicate progress, risks, and strategic recommendations to sponsors and leadership; maintain decision logs.

• Education and Experience Required:

• Bachelor’s/Master’s in Industrial Engineering, Operations Research, Computer Science, Data Science, or related discipline.

• 5+ years in semiconductor manufacturing systems with fab or post-wafer finishing experience.

• Programming: Proficient in C#, Python, and SQL.

• Development Environment & DevOps: Visual Studio, Git, Azure DevOps; CI/CD familiarity.

• Data & Analytics: Snowflake (preferred), Tableau/Power BI (preferred); GCP exposure a plus; JavaScript for UI a plus.

• Optimization & OR: Experience with CPLEX/Gurobi and optimization methods; knowledge of machine learning/deep learning/reinforcement learning a plus.

• Scheduling & Simulation: Direct experience with factory scheduling, simulation, and application development.

• MES & Automation: Strong understanding of MES concepts, equipment automation (e.g., tool interfaces/AMHS/SCADA), and manufacturing data flows.

• Proven ability to lead cross-functional teams, influence stakeholders, and drive global alignment.

• Excellent communication; structured problem-solving; willingness to travel and support multi-site initiatives.

The Product Design and Enhancement (PDE) team oversees all design-related activities within the Data Science unit at NIQ, establishing the foundation for Retail Index reporting. The principal duties of the PDE Manager for a specific market include:

• Conducting sample design, universe estimation, and other projects related to the Retail Index.
• Identifying quality risks and coordinating solutions.
• Engaging with stakeholders regarding project scope, execution, data exchange, and outcomes.
• Performing expert-level analysis of results and delivering insightful presentations.
• Collaborating effectively in a virtual multi-country environment, necessitating clear communication with colleagues in various countries.
• Utilizing dedicated software along with ad hoc programming and data mining.
• Identifying opportunities for innovation and tool development in a dynamic work environment.
• Analyzing processes within the scope of responsibilities and providing recommendations for improvements.

Key Responsibilities

• Promote and represent clients’ brands through direct marketing activities

• Engage with potential customers and build positive relationships

• Support marketing campaigns and brand awareness initiatives

• Achieve individual and team sales targets

• Work closely with team members to drive business growth

• Participate in training programs to develop sales and leadership skills

Requirements

• Good communication and interpersonal skills

• Positive attitude and willingness to learn

• Self-motivated and goal-oriented

• Able to work independently and in a team environment

• No prior experience required (training provided)

Benefits

• Structured training and development program

• Career advancement opportunities

• Supportive and collaborative team environment

• Performance-based incentives

Want to find out more? Apply now!

We pride ourselves to provide quality services as a leading recruitment consultancy in Singapore. We are looking for dynamic, driven and focus individual to join our distinctive team in driving the business development strategy and recruitment processes for our clients. If you think you can take up the challenge as a professional Recruitment Consultant in this ‘people oriented’ field, do not hesitate, come and join us!

Responsibilities:

• Identify and assess potential candidates

• Conduct interview and manage selection procedures

• Design job descriptions and interview questions

• Organize and attend recruitment events

• Lead discussions in quarterly and annual hiring needs by department

• Foster long-term relationships with past applicants and potential candidates

• Involve actively in Human Resource activities with regards to Hiring and Managing of potential candidates

Requirements:

• Degree in any Discipline

• Candidates with strong track record in sports or co-curricular activities will have an added advantage

• Candidate with great team spirit, persistency, good communication and interpersonal skills are welcome to apply

Interested candidates please send in your resume to:

valerie@recruitexpress.com.sg

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599