Job Purpose:

This role will analyze, troubleshoot, repair, and resolve technical problems on equipment or components. Troubleshoots electronics devices at the component level and resolves integration and configuration problems involving circuit analysis, wave form calculations, fault isolation, prom programming, and signal flow tracing.

Responsibilities:

• Use knowledge of electronics and digital components (15%)

• Use knowledge and skills in electronic fundamentals and logic (10%)

• Read schematics and blueprints (10%)

• Use through hole and surface soldering skills (25%)

• Use multi meters, oscilloscopes, and signal generators-analyzers (15%)

• Troubleshoots electronics devices at board level (25%)

• Additional duties as assigned.

• Meets attendance and punctuality standards.

Knowledge, Skills and Experience:

• Technical with Electronics Field of Study preferred.

• High School Graduate with General  Studies field of study required.

• Other Education / Certifications: A+, IPC​

• Able to execute instructions and to request clarification when needed.

• Able to use a 10-key quickly and accurately.

• Possesses basic clerical and data entry skills.

• Possesses strong data entry skills.

• Able to perform basic mathematical calculations.

• Able to recognize and attend to important details with accuracy and efficiency.

• Able to communicate clearly and convey necessary information.

• Able to interact effectively with all levels of management.

• Possesses strong multi-cultural interpersonal skills.

• Possesses strong organizational and time management skills, driving tasks to completion.

• Able to constructively work under stress and pressure when faced with high workloads and deadlines.

• Able to maintain and promote social, ethical, and organizational standards in conducting internal and external business activities.

• Able to work independently with minimum supervision.

• Able to maintain confidentiality of sensitive information.

• Able to be immobile for long extended periods.

• Ability to transport 60 Lbs.

• Able to build solid, effective working relationships with others.

• Able to exhibit ability to be sensitive to the needs, concerns, and feelings of others.

• Able to quickly learn new systems and technology.

• Able to use relevant computer system applications at a basic level.

Working Conditions:

• Clean room environment requiring ESD protection.

• Occasional non-standard work hours or overtime as business requires.

What’s In It For You?

• Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
• Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
• Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
• Diversity, Equity & Inclusion: It’s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
• Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
• Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.

Don’t meet every single requirement? Apply anyway.

At Shyft Global Services, a TD SYNNEX Company, we’re proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you’re excited about working for our company and believe you’re a good fit for this role, we encourage you to apply. You may be exactly the person we’re looking for!

We are an equal opportunity employer and committed to building a team that represents and empowers a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, protected veteran status, disability, genetics, age, or any other characteristic protected by law.

Requirement Gathering and Analysis:

• Collaborate with business stakeholders to understand their data and analytics needs.
• Conduct thorough analysis of business requirements and translate them into technical specifications.

Azure Data Factory Utilization:

• Demonstrate expertise in designing and implementing data pipelines using Azure Data Factory.
• Work closely with data engineers and developers to ensure the effective utilization of Azure Data Factory capabilities.

Data Integration and Management:

• Develop a comprehensive understanding of data sources, structures, and business rules.
• Facilitate the integration of diverse data sets, ensuring data quality and accuracy.

Documentation:

• Create detailed documentation of business requirements, data models, and technical specifications.
• Maintain up-to-date documentation throughout the project lifecycle.

Collaboration:

• Act as a liaison between business stakeholders, data engineers, and other technical teams.
• Foster effective communication and collaboration to ensure successful project outcomes.

Quality Assurance:

• Conduct testing and validation of data solutions to ensure they meet business requirements.
• Identify and address any issues or discrepancies in data processing.

• Proven experience as a Business Analyst in a technical environment, with a focus on data and analytics.
• Hands-on experience with Azure Data Factory is essential.
• Strong understanding of data modeling, data warehousing, and ETL processes.
• Familiarity with Agile and Scrum methodologies is a plus.
• Relevant certifications in Azure or business analysis are advantageous.

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We are an affiliated company by common shareholders with Activate Interactive Pte Ltd which company logo appears on the top of this page.

Actxa creates evidence-based, personalizes health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

We are seeking a highly skilled and motivated Data Scientist to join our dynamic team in shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis.. The ideal candidate will directly contribute to improving the health and well-being of the population, reducing healthcare costs, and championing a proactive approach to healthcare.

More information about us; https://www.actxa.com

Actxa is hiring for Data Scientist

Internal Code: AC160

1. Data Analysis and Modeling:

• Utilize advanced statistical techniques, artificial intelligence and machine learning algorithms to analyze complex datasets.
• Develop predictive models to identify patterns, trends, and insights for proactive health interventions.
• Implement data-driven solutions to optimize preventive health strategies and personalized patient care.

2. Feature Engineering and Model Development:

• Identify and engineer relevant features from diverse healthcare data sources to enhance model accuracy and performance.
• Design, develop, and fine-tune machine learning models for predicting health risks and outcomes.

3. Productization and Code Transfer:

• Follow through toward productization by transferring algorithms and codes into scalable, production-ready solutions.
• Work closely with the engineering team to integrate models into the company's systems or products.

4. Documentation and Reporting:

• Document research, experiments, modeling techniques, and methodologies followed in projects.
• Provide comprehensive reports and presentations on results, findings, and recommendations derived from data analysis and predictive models.

5. Collaboration and Communication

• Collaborate with cross-functional teams including clinicians, data engineers, and product managers to understand business requirements and align data science initiatives with company goals.
• Effectively communicate complex findings and insights to both technical and non-technical stakeholders.

6. Data Collection, Processing and Preprocessing:

• Collect, clean, preprocess, and wrangle raw digital health data to ensure its quality, integrity, and suitability for analysis and modeling.
• Implement data pipelines and automation processes for efficient data processing and extraction.

7. Continuous Improvement and Innovation:

• Stay abreast of the latest advancements in data science, machine learning, and healthcare technologies.
• Propose and explore innovative methodologies and techniques to improve predictive modeling and data analysis within the healthcare domain.

• Bachelor or Master degree in Statistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, Computer Science or related discipline.
• Good understanding or experiences in analog signal and noise processing is required.
• Proven experience in applying machine learning algorithms and statistical methods to healthcare data.
• Proficiency in programming languages like Python, R, or similar for data analysis and modeling.
• Strong understanding of healthcare systems, medical terminology, and electronic health records (EHR) is preferred.
• Experience with tools and frameworks such as TensorFlow, PyTorch, scikit-learn.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
• Natural tenacity, resilience, and determination.

What do we offer?

• Fun working environment
• Flexi benefits
• Employee Wellness Program

Actxa Pte Ltd is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Actxa Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Actxa Pte Ltd.

Your personal data will be processed for the purposes of managing Actxa Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice ( https://www.actxa.com/privacy-policy ) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.