767 Data Mining jobs in Singapore

We are hiring a Business Data Mining Analyst to join our team to support a project we have with a leading global digital banking and payment services company.

This is a contract role that blends data analysis, data mining, and business reporting. We are looking for someone with 2–3 years of experience in a similar role, preferably within financial services, and with exposure to marketing or customer analytics.

You will work with internal teams to manage acceptance data across APAC, validate information using tools such as Salesforce, Tableau, and Excel, and deliver actionable insights to support both marketing and business stakeholders.

This is a great opportunity to work with a globally recognised brand on regional, data-driven marketing initiatives.

To apply, please send us your updated CV. Only shortlisted candidates will be contacted.

Responsibilities

About The Team

The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated.

With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. Our product engineering team is responsible for building an e-commerce ecosystem that is innovative, secure and intuitive for our users. We are looking for passionate and talented people to join us as we drive the future of e-commerce here at TikTok.

Responsibilities

- Responsible for development of data-empowered capabilities for e-commerce platform, enable different e-commerce verticals to extract and apply key insights from oceans of data to meet their business needs.

- Data mining for e-commerce, building tagging system based on massive data, analysing user, traffic, e-commerce and other data, combining with business to improve GMV.

- Data analysis, mining, model specific productization; understanding of e-commerce business, able to work with PM to continuously optimize data products based on data-driven.

- Develop data mining pipelines to extract data assets (eg. entity labels) from aggregated data and enable the extraction of actionable insights from large volumes of domain data.

- Design and development of various strategies, algorithms and machine learning techniques to improve the accuracy and coverage of extracted data assets.

- Analyze e-commerce data-related business problems and abstract them into data-related requirements that are then implemented to help resolve key business problems.

Qualifications

Minimum Qualifications

- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.

- 5 years experience in data structures and algorithms, familiar with one or more: machine learning, natural language processing, data mining.

- Familiar with one of the Python/Java/Go/C++ programming languages.

- Familiar with common data processing technologies (Hadoop, Spark, Hive, Storm, Flink), with demonstrable coding skills.

- Familiar with common data mining techniques and machine learning algorithms (GBDT, Xgboost, FM, DFM, etc.), and familiar with their principles and scope of application.

- Proficiency in data mining, machine learning tools and common frameworks (TensorFlow, Pytorch).

Preferred Qualifications

- Continuous learning, keeping up with the latest research directions and results in the field of machine learning, for the exploration of big data applications in various vertical areas.

- In-depth research experience in analysis and mining of user behaviour data and construction of user portraits.

- Data mining experience in vertical industries (e-commerce, finance, games, travel, real estate, etc.).

- Development and optimisation of advertising and recommendation algorithms.

Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Summary:

Our client are seeking a Research Scientist to join our corporate lab, focusing on data analytics and machine learning applications for enzyme production optimization. The role involves modeling analytical data from factories and R&D centers using AI/ML approaches, and contributing to research outputs such as publications and patents.

Remuneration:

• Up to $10,000, with AWS and Variable Bonus

Responsibilities

• Manage and preprocess large datasets for analysis.
• Develop scripts and code to perform specified computational tasks.
• Apply statistical analysis and machine learning techniques, including:
  - Optimization algorithms
  - Supervised and unsupervised learning
  - Sampling algorithms
  - Deep learning models
• Optimize ML/AI models to meet performance specifications.
• Summarize and present results for internal reporting and external stakeholders.
• Participate in seminars, research-in-progress meetings, and collaborations.
• Contribute to writing and publishing scientific papers and patents.

Requirements

• PhD in Statistics, Data Science, Computer Science, or a related field.
• Proficient in coding with R, Python, Java, and Bash.
• Strong knowledge of bioinformatics (sequence analysis, protein structure prediction).
• Experience with AI/ML frameworks such as TensorFlow or PyTorch.
• Demonstrated ability in optimizing ML/AI models.
• Apt learner, adaptable, and able to apply new computational techniques to open-ended problems.
• Effective communicator and team player, capable of explaining technical concepts to non-specialists.

Interested candidates please apply online or send your latest CV to

AlwaysHired Pte Ltd

Reg No: R

EA: 24C2293

We regret to inform that only shortlisted candidates will be notified. Please note that your response to this advertisement will constitute informed consent to the collection, use, and/or disclosure of personal data by AlwaysHired, its affiliates and, where necessary, to relevant third parties, for purposes such as job application processing, career advisory, research, and other administrative purposes, in compliance with the relevant provisions of the Privacy Policy available at

Job Description:

In Schneider Electric, everything we do is geared towards advancing progress and sustainability for all—our colleagues, customers, partners, and the communities and societies we serve.

Whether it's through our products, software, and services that propel the digital transformation of energy management and automation, or through our corporate citizenship and volunteer activities, we make a meaningful impact by empowering people and organizations to become more resilient, electric, and digital.

Which is where you come in. Working at Schneider Electric means working toward a cleaner, better world. You are part of a global team built on inclusion, mastery, purpose, action, curiosity, and teamwork, turning sustainability ambitions into actions.

We are now hiring interns for our H1 2026 cohort Internships will start in 2 batches: January 2026 or February 2026. Please indicate your exact availability in your application. Students who can commit full-time will be preferred.

Join us as a Data Analytics (Sales) Intern to make an impact

Location: Kallang

The Role:

What will you do?

• Assist in collecting, cleaning, and analyzing large datasets from various sources
• Develop dashboards and reports using tools such as Excel, Power BI, or Tableau
• Support the team in identifying trends, patterns, and insights to inform strategic decisions

• Collaborate with cross-functional teams to understand data requirements and deliver actionable insights

• Document processes and findings to ensure reproducibility and clarity

• Participate in team meetings and contribute to brainstorming sessions

Qualifications:

What qualifications will make you successful?

• Bachelor's in Data Science, Statistics, Computer Science, Business Analytics or related
• Strong analytical and problem-solving skills
• Proficiency in Excel and familiarity with data visualization tools (e.g., Power BI, Tableau)
• Basic knowledge of SQL and/or Python is a plus
• Excellent communication and presentation skills
• Ability to work independently and as part of a team

What's in it for me?

• Global Family Leave
• Comprehensive medical coverage for employee and dependents
• Worldwide Employee Stock Ownership
• Hybrid work arrangement (New Ways of Working)
• …and more

About Our Company:

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric – apply today

€36 billion global revenue

+13% organic growth

employees in 100+ countries

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

Company Description

THE CONTEXT ___

Since 1947, the men and women of Parfums Christian Dior have embodied the founding "couturier-perfumer's" unique spirit of excellence, creativity and expertise, both in France and throughout the world. Our House is an open and highly-focused collective, a leader that thrives on the creativity of all its stakeholders. Our collective passion and our heritage, full of authenticity and dream, make us move forward and reinvent ourselves.

By revolutionizing the codes of French style and luxury through perfumes, and combining tradition with daring makeup and innovative skincare, we are reinventing every day the Dior style and its compelling, joyful and absolute beauty. Our stimulating missions give our employees the opportunity to develop new skills, overcome spectacular challenges and reveal their talent.

To go further, with Dior.

Job Description

YOUR MISSION ___

As a Data Analytics & Project Management (AI) Intern, you will play a pivotal role in optimizing data workflows, automating reporting processes, and leveraging AI to drive business insights. You will gain hands-on experience in data visualization (Power BI), AI model development, and cross-functional collaboration within the luxury beauty retail sector.

Data Management & Reporting

• Coordinate and consolidate data for weekly/monthly sell-out and inventory reporting and provide data clarity to the team
• Manage Salesforce data uploading and govern the data to ensure data accuracy, consistency, and timeliness
• Assist in designing and overseeing the automation of traffic data to streamline the ETL process, ensuring seamless integration from raw data collection to report deployment

OPERATION & PROCESSES

• Seek improvement in data and business processes to optimize workflows, improve operational efficiency, and boost productivity within the team and the organization
• Daily cost tracking and coordination through regular communication within the team, ensuring cost-to-date is in line with Finance's data
• Create and maintain all project and processes documentation especially in data management

MARKET INTELLIGENCE DASHBOARD

• End-to-end design and implementation of market intelligence dashboard and the associated data pipelines
• Maintain data repositories to ensure accuracy, integrity and accessibility

AI ADOPTION & MODEL DEVELOPMENT

• Identify opportunities to integrate generative AI tools for operational efficiency
• Propose innovative ideas to enhance workflows using AI and automation
• Develop and deploy AI/ML models (e.g., demand forecasting, inventory optimization)
• Validate model performance and refine algorithms based on business needs

TEAM UPSKILLING & TOOL ADOPTION

• Assist in providing training to office and/or retail population on:
• Excel (Power Pivot, advanced formulas, error tracking)
• Power BI dashboards visuals
• AI tools (generative AI for automation scripts, slides creation and idea generation)

Qualifications

WHO YOU ARE ___

• Bachelor's or Master's in Artificial Intelligence, Data Science, Business Analytics, or related field
• Able to commit full time internship from Jan 26 to Jun 26
• Proficiency in Python/R, SQL, and data visualization tools (Power BI, Tableau)
• Familiarity with AI/ML frameworks
• AI-related experience or interest
• Strong communication and stakeholder collaboration skills
• Independent, forward thinking, motivated individual with problem-solving attitude and team player
• Enjoys numbers, data analysis, report writing and improving workflow processes
• Attention to detail as reporting figures must be precise

WHAT CAN WE OFFER? ___

• Innovative Work Environment: Design and implement custom data models, workflows, and AI-driven solutions without rigid templates.
• Retail Industry Exposure: Opportunity to visit shop floors, collaborate with retail teams, and gain firsthand insights into luxury beauty market dynamics.
• Professional Growth: Develop technical expertise in AI, data automation, and business intelligence while expanding your professional network.
• A challenging role in a fast moving, ambitious environment, with daily learning opportunities and passionate team members.
• Beyond this role, your development is a pillar of our ambition. Parfums Christian Dior, as part of LVMH, offers a Career perspective with a worldwide presence and continuous growth within 75 distinguished Houses.

So, How Far Will You Take Dior?

Job description:

Position Summary

We are seeking a detail-oriented and analytically strong Data Analytics professional to support the development, implementation and enhancement of enterprise-wide AML/ CFT and Sanctions programs. This role will working cross-functionally to provide datadriven insights that help detect, prevent, and mitigate financial crime risks.

Key Responsibilities

• Develop, maintain, and optimize data analytics frameworks to monitor AML/CFT, Sanctions Surveillance programs
• Analyse large datasets from internal systems to identify suspicious patterns, transaction anomalies, and emerging threats
• Design and execute queries, dashboards, and reports to support ongoing surveillance and investigations
• Assist in developing rule-based and risk-based scenarios for transaction monitoring and screening
• Provide inputs and support to strengthen the AML/CFT and Sanctions transaction monitoring and procedures
• Produce clear and actionable reports to support compliance decisions, regulatory reporting and audits
• Ensure proper documentation and record keeping of reviews and investigation cases in accordance to Group standards
• Maintain up-to-date knowledge of regulatory expectations and ensure compliance framework aligns accordingly

Requirements

Education and Experience

• Bachelor's degree in Data Science, Statistics, Finance, Computer Science, Business Administration, or a related discipline
• Minimum 2 years of relevant working experience in financial crime/AML/Compliance

Skills and Knowledge

• Must have working knowledge of transaction monitoring systems and AML tools
• Experience in financial institutions, law enforcement, intelligence/analysis, or regulatory environment is preferred
• Strong analytical and problem-solving abilities with a strategic, data-driven mindset
• Must be well-organized, have the ability to work under tight deadlines, make decisions, work well as part of a team and independently
• Proven ability to engage, collaborate, influence and negotiate with key senior stakeholders
• Excellent problem-solving skills, ability to prioritise and manage multiple tasks assigned
• Strong team player with track record of working well in a collaborative environment with strong stakeholder management and communication skills
• Strong in documentation and report writing skills
• Self-driven with the ability to work independently

Company Description

THE CONTEXT ___

Since 1947, the men and women of Parfums Christian Dior have embodied the founding "couturier-perfumer's" unique spirit of excellence, creativity and expertise, both in France and throughout the world. Our House is an open and highly-focused collective, a leader that thrives on the creativity of all its stakeholders. Our collective passion and our heritage, full of authenticity and dream, make us move forward and reinvent ourselves.

By revolutionizing the codes of French style and luxury through perfumes, and combining tradition with daring makeup and innovative skincare, we are reinventing every day the Dior style and its compelling, joyful and absolute beauty. Our stimulating missions give our employees the opportunity to develop new skills, overcome spectacular challenges and reveal their talent.

To go further, with Dior.

Job Description

YOUR MISSION ___

As a Data Analytics & Project Management (AI) Intern, you will play a pivotal role in optimizing data workflows, automating reporting processes, and leveraging AI to drive business insights. You will gain hands-on experience in data visualization (Power BI), AI model development, and cross-functional collaboration within the luxury beauty retail sector.

Data Management & Reporting

• Coordinate and consolidate data for weekly/monthly sell-out and inventory reporting and provide data clarity to the team

• Manage Salesforce data uploading and govern the data to ensure data accuracy, consistency, and timeliness

• Assist in designing and overseeing the automation of traffic data to streamline the ETL process, ensuring seamless integration from raw data collection to report deployment

OPERATION & PROCESSES

• Seek improvement in data and business processes to optimize workflows, improve operational efficiency, and boost productivity within the team and the organization

• Daily cost tracking and coordination through regular communication within the team, ensuring cost-to-date is in line with Finance's data

• Create and maintain all project and processes documentation especially in data management

MARKET INTELLIGENCE DASHBOARD

• End-to-end design and implementation of market intelligence dashboard and the associated data pipelines

• Maintain data repositories to ensure accuracy, integrity and accessibility

AI ADOPTION & MODEL DEVELOPMENT

• Identify opportunities to integrate generative AI tools for operational efficiency

• Propose innovative ideas to enhance workflows using AI and automation

• Develop and deploy AI/ML models (e.g., demand forecasting, inventory optimization)

• Validate model performance and refine algorithms based on business needs

TEAM UPSKILLING & TOOL ADOPTION

• Assist in providing training to office and/or retail population on:

• Excel (Power Pivot, advanced formulas, error tracking)

• Power BI dashboards visuals

• AI tools (generative AI for automation scripts, slides creation and idea generation)

Qualifications

WHO YOU ARE ___

• Bachelor's or Master's in Artificial Intelligence, Data Science, Business Analytics, or related field

• Able to commit full time internship from Jan 26 to Jun 26

• Proficiency in Python/R, SQL, and data visualization tools (Power BI, Tableau)

• Familiarity with AI/ML frameworks

• AI-related experience or interest

• Strong communication and stakeholder collaboration skills

• Independent, forward thinking, motivated individual with problem-solving attitude and team player

• Enjoys numbers, data analysis, report writing and improving workflow processes

• Attention to detail as reporting figures must be precise

WHAT CAN WE OFFER? ___

• Innovative Work Environment: Design and implement custom data models, workflows, and AI-driven solutions without rigid templates.

• Retail Industry Exposure: Opportunity to visit shop floors, collaborate with retail teams, and gain firsthand insights into luxury beauty market dynamics.

• Professional Growth: Develop technical expertise in AI, data automation, and business intelligence while expanding your professional network.

• A challenging role in a fast moving, ambitious environment, with daily learning opportunities and passionate team members.

• Beyond this role, your development is a pillar of our ambition. Parfums Christian Dior, as part of LVMH, offers a Career perspective with a worldwide presence and continuous growth within 75 distinguished Houses.

So, How Far Will You Take Dior?

Christian Dior described himself as a fashion and perfume designer. The House of Dior, founded in 1946, changed the face of ladies' style forever when its New Look was unveiled in the halls of 30 Avenue Montaigne on February 12, 1947. The revolutionary look was accompanied by a fragrance, Miss Dior, the finishing touch designed to "leave a trail of desire in a woman's wake". This timeless perfume was the first fragrance created by a visionary brand which invented the concept of global beauty with its Rouge Dior and subsequent cosmetic lines.

The current-day trustees of this legendary expertise – Francis Kurkdjian, Perfume Creation Director, and Peter Philips, Creative and Image Director for Dior Makeup – are the heirs to Christian Dior's perfectionism. The worldwide renown of the House's creations is partly down to its seductive muses, including Charlize Theron, Natalie Portman and Robert Pattinson.

Employment Type : Contract

Working Hours : Monday to Friday, 8.30am – 5.30pm (Hybrid)

Location : One North

Salary : Up to $9,000

• Create non-standard custom reports by integrating data from ERP and other enterprise systems using cloud-native analytics platforms, and deliver these reports to end users or downstream systems.
• Create dashboards, reports, and visualizations to communicate insights effectively and support decision-making.
• Work with business users and technical/data engineering teams to enhance the enterprise analytics platform, tools, and reusable assets.
• Track, validate, and improve the performance of analytical solutions delivered.
• Support the Product Owner by working within an Agile product team, contributing to the full product development lifecycle from conceptualization to delivery of analytics solutions.
• Collaborate with business stakeholders to design and deliver end-to-end analytics solutions, including problem/use case formulation, data preparation, proof-of-concept, and deployment into production.
• Provide operational support and maintenance for the data and analytics infrastructure platform.
• Curate, develop, and deliver training sessions or workshops to build analytics knowledge and skills across the organization.
• Perform other related duties to support departmental or organizational goals as required.

• Bachelor’s degree in Computer Science/Engineering, Information Technology, Business Analytics, Data Science, Artificial Intelligence, or related discipline; relevant technical certifications are an advantage.
• Minimum 10 years of experience in designing and delivering advanced analytics or data science solutions to address business challenges.
• Proficiency in SQL, R/Python, and advanced analytics and visualization tools such asTableau and Power BI.
• Strong familiarity with analytics and/or machine learning platforms, including how they integrate with upstream and downstream data and production systems.
• Good to have experience with ERP and enterprise systems such asSAP S/4HANA, Ariba, SAP Analytics Cloud.
• Familiarity with cloud-native data and analytics platforms such as Azure Data Factory, Snowflake, Databricks.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.
• All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Wong Siew Ting (Maeve) - R

ScienTec Consulting Pte Ltd - 11C5781

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.

GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.

We are currently looking for a lead instructor for our full-time (12 week) Data Analytics Bootcamp.

Our Data Analytics Bootcamp is a life-changing educational experience where our students learn the skills and mindsets to take on new careers as data analysts. We are looking for a lead instructor with experience cleaning, analyzing, and presenting data to stakeholders and clients.

This role is based in Singapore and is delivered in a hybrid (on campus and online) format, requiring instructors to reside in Singapore and have an eligible work permit or be a Singapore citizen or permanent resident. (We are not currently sponsoring employees.)

If you are looking to make a life-changing impact by sharing your love for data analytics with the next generation of analysts, we’d love for you to consider joining our team. We deliver more than just skills training, and are looking for teachers who share our vision for facilitating and mentoring a community of lifelong learners pursuing work that they love. As a teacher, you will join us to:

• Work closely with the instructional team (co-lead instructors, instructional associates, instructor manager) to guide students through a rigorous, transformational journey.
• Become a better leader, coach, and mentor as you learn from students, experienced instructors, and the larger General Assembly community.
• Inspire and support students as they identify their passions and drive their own continued learning beyond the curriculum; motivate students when they deal with classroom and personal challenges that become barriers to learning.
• Adapt our global curriculum and use it to guide your teaching, building your own lesson plans as needed and contributing back your lessons learned over time.
• Facilitate a safe, supportive, and energetic community that welcomes the various abilities, needs and learning styles of your students.

Through a combination of live instruction, supported study with independent work, unit projects (individual and team-based) and 1:1 support, we teach our learners how to turn messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, and PowerBI as the primary tools for analysis as well as provide learners with a foundation in Python programming to build predictive machine learning models.

The Data Analytics Bootcamp consists of nine units:

• Unit 1: Responsible data analytics
• Unit 2: Statistics and mathematics for data analysts
• Unit 3: Data analysis and interpretation with Excel and Power BI
• Unit 4: Data acquisition and cleaning with SQL
• Unit 5: Data analysis and communication with Tableau
• Unit 6: Data analysis with Python
• Unit 7: Data in the organization
• Unit 8: Capstone projects
• Unit 9: Career planning

Learning is assessed through four major projects (two independent projects, a team/group data sprint, and final course capstone) as well as nine labs. About 20% of the overall class time is dedicated to supporting learners’ project work.

• You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
• You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
• You have strong experience using the following tools: Excel, SQL, Tableau, Power BI and Python Programming.
• You have 4+ years of work experience in a role where you’ve been responsible for cleaning messy data, analyzing the data and presenting your data-based insights.
• You are proficient in data analysis using Python's pandas library, with a solid understanding of data manipulation, cleaning, and aggregation.
• You are familiar with machine learning concepts and practical experience with supervised and unsupervised learning techniques.
• You have experience with web scraping tools and techniques (e.g., BeautifulSoup)
• You have experience mentoring, coaching, or training others in a professional or educational setting.
• Priority will be given to applicants with the Advanced Certificate in Learning and Performance (ACLP) /Advanced Certificate in Training and Assessment (ACTA), awarded by the Institute of Adult Learning Singapore.
• This role is based in Singapore and you must be authorized to work in Singapore. Please ensure you have the right to work in Singapore before applying.

• Teach 40 hours per week; currently classes on Monday through Thursday are on campus, with Fridays remote; we observe all public holidays in Singapore.
• Commit a few hours per week preparing lessons and materials, leveraging existing GA curriculum content.
• Work closely with co-instructors and/or teaching assistants to provide students with meaningful and prompt feedback on their progress, including assessment rubrics.
• Work alongside GA staff and teaching team to best meet the needs and learning styles of your students.
• Guide students through development of a stellar capstone project that will showcase their abilities to hiring managers.
• Facilitate a dynamic, collaborative, and positive classroom community.
• Inspire students to persevere through the challenges of learning a new skill set, as well as dealing with learning barriers along the way.

Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.

United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.

Posting date: