6 Data Scientist jobs in the Philippines
Data Scientist
Chevron Corporation
Posted 1 day ago
Job Viewed
Job Description
**About Us**
Chevron is a leading multinational energy company with operations in over 180 countries. Founded in 1879, Chevron has a rich history of innovation and growth, making significant contributions to the global energy landscape.
Chevron markets Caltex® fuels, lubricants and other petroleum products in the Philippines. Our network of service stations, terminals and sales offices forms the backbone of our presence in the Philippines.
In March 2020, Chevron sold its 45% non-operated interest in the Malampaya natural gas field. This was the first natural gas development and largest industrial project in the Philippines.
From the Philippines, we provide operational support for Chevron offices on five continents. The workforce supplies transactional, processing and consulting services in areas ranging from finance to information technology.
Chevron operates through two subsidiaries in the Philippines. Our Downstream company is Chevron Philippines Inc. We also operate a business processes support organization through Chevron Holdings Inc.
There are two Chevron companies operating in the Philippines: Chevron Holdings Incorporated (CHI) and Chevron Philippines Incorporated (CPI).
CHI is a shared services center providing transactional, processing, and consulting services in the areas of finance and accounting, information technology, supply chain management, human resources, downstream customer service and marketing. Established in 1998, CHI serves Chevron affiliates in six continents around the world. Over the years, it has grown to be one of the leading members of the shared services industry in the Philippines.
CHI has received various recognitions as a top employer: the 2024 Circle of Excellence for CSR Company of the Year; 2024 Top 10 Fortune 500 companies; 2023 HR Asia best companies; 2022 Diversity Company of the Year; 2021 Asia's Best Employer Brand Award; 2021 Global Best Employer Brand Award; 2020 HR Asia Best Companies to Work for in Asia; 2019 Circle of Excellence, Top Employer Category at Asia CEO Awards, and the 2018 Wellness Company of the Year at the same Asia CEO Awards.
At Chevron, we believe humanity can solve any challenge - including meeting the world's energy needs of today, while advancing a cleaner energy tomorrow.
CPI markets the Caltex brand of top-quality fuels, lubricants, and petroleum products through a network of service stations, terminals and sales offices.
**About the Role**
We have an exciting opportunity for a **Data Science Analyst.** This role will be based in **6750 Building, Makati City, Philippines.**
**Responsibilities include, but are not limited to, the following** :
**Data engineering and analysis**
+ Performs text, quantitative, statistical, financial, and operational analysis; identifying trends, patterns, and anomalies that impact financial performance
+ Designs and implements data pipelines to automate the collection, cleaning, and processing of financial data from various sources
+ Parse, cleanse, and manipulate large amounts of structured and unstructured data for analysis; perform QA testing to ensure accurate results
+ Document data analysis processes, methodologies, and findings.
**Insight generation and strategy**
+ Conducts deep-dive analyses to uncover actionable insights that influence financial and operational strategy
+ Provides data-driven support for enterprise-wide Finance initiatives, ensuring alignment with business unit goals.
**Collaboration and communication**
+ Collaborates with the business to review data sources, data inconsistencies, and business logic for initiating data discovery
+ Partner with cross-functional teams to understand data requirements and deliver actionable insights.
**Continuous Improvement**
+ Stay current with industry trends and emerging technologies to ensure our data analysis practices remain cutting-edge.
**About You**
We know our greatest resource is the ingenuity, creativity and innovation of our people. Applications from motivated and talented individuals with a keen interest in the energy industry are encouraged.
**Knowledge, Skills, and Experience:**
+ Bachelor's degree in Accountancy, Data Science, Computer Science, Statistics, or a related field (or equivalent experience).
+ 3+ years' experience in data science or advanced analytics
+ Expertise in working with large-scale data environments, including data lakes and distributed systems. Understands data architecture, table relationships, and data lineage across platforms.
+ Proficient in tools and languages such as Python, R, SQL
+ Experience in cloud-based Machine Learning services (e.g., Azure ML, AWS SageMaker). Capable of building, deploying, and maintaining AI/ML models in production environments.
+ Expertise in Extract, Transform, Load methodologies and tools and navigating through large datasets.
+ Strong analytical and problem-solving skills with attention to detail and accuracy.
+ Excellent written and verbal communication skills to effectively frame analytics opportunities and convey data-driven insights through storytelling
+ Experience in partnering with people of diverse cultural backgrounds.
**Preferred qualifications:**
+ Certified Public Accountant (CPA) or equivalent
+ Strong Finance background that can be translated to model design, ROI assessment, cost-benefit analyses, among other methodologies.
+ Background in Azure and DataRobot
+ Experience with finance and accounting tools (SAP, JDE, Blackline, GEP SMART)
+ Industry experience in oil & gas.
+ Proficiency in data modeling techniques, data fluency, and governance.
+ Experience in Information Risk Management (IRM).
_Everything we do at Chevron is guided by our values and our commitment to The Chevron Way_ _( _. At the heart of The Chevron Way is our vision to be the global energy company most admired for its people, partnership, and performance._
_Participate in world-leading energy projects, advance your professional development and expand your career within an inclusive, collaborative and high-performing workplace._
**Benefits**
+ Competitive salary
+ Allowances, medical and optical reimbursements
+ Health care coverage for you and your eligible dependents
+ Robust employee centered programs for health and wellness
+ Time-off to promote healthy work-life balance or to care for your family
+ Annual corporate incentive bonus when the company meets established goals
+ Recognition & awards program
+ Long-term savings plan
+ Life insurance
+ Career development opportunities to all employees through onboarding, training and development, mentoring, volunteering opportunities and employee networking groups
+ Hybrid work model - work remotely from home several days a week
At Chevron, we are committed to fostering diversity and inclusion at all levels of our company and at all stages of the employee experience. We constantly strive to attract, develop and retain diverse Filipino talent. Globally, Chevron Corporation has achieved a rating of 100 percent in the Human Rights Campaign Equality Index for the past 17 years. The Index ranks American companies based on their commitment to equality in the workplace.
Connect with us:
Facebook ( ( participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at .
Chevron is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.
Chevron is a leading multinational energy company with operations in over 180 countries. Founded in 1879, Chevron has a rich history of innovation and growth, making significant contributions to the global energy landscape.
Chevron markets Caltex® fuels, lubricants and other petroleum products in the Philippines. Our network of service stations, terminals and sales offices forms the backbone of our presence in the Philippines.
In March 2020, Chevron sold its 45% non-operated interest in the Malampaya natural gas field. This was the first natural gas development and largest industrial project in the Philippines.
From the Philippines, we provide operational support for Chevron offices on five continents. The workforce supplies transactional, processing and consulting services in areas ranging from finance to information technology.
Chevron operates through two subsidiaries in the Philippines. Our Downstream company is Chevron Philippines Inc. We also operate a business processes support organization through Chevron Holdings Inc.
There are two Chevron companies operating in the Philippines: Chevron Holdings Incorporated (CHI) and Chevron Philippines Incorporated (CPI).
CHI is a shared services center providing transactional, processing, and consulting services in the areas of finance and accounting, information technology, supply chain management, human resources, downstream customer service and marketing. Established in 1998, CHI serves Chevron affiliates in six continents around the world. Over the years, it has grown to be one of the leading members of the shared services industry in the Philippines.
CHI has received various recognitions as a top employer: the 2024 Circle of Excellence for CSR Company of the Year; 2024 Top 10 Fortune 500 companies; 2023 HR Asia best companies; 2022 Diversity Company of the Year; 2021 Asia's Best Employer Brand Award; 2021 Global Best Employer Brand Award; 2020 HR Asia Best Companies to Work for in Asia; 2019 Circle of Excellence, Top Employer Category at Asia CEO Awards, and the 2018 Wellness Company of the Year at the same Asia CEO Awards.
At Chevron, we believe humanity can solve any challenge - including meeting the world's energy needs of today, while advancing a cleaner energy tomorrow.
CPI markets the Caltex brand of top-quality fuels, lubricants, and petroleum products through a network of service stations, terminals and sales offices.
**About the Role**
We have an exciting opportunity for a **Data Science Analyst.** This role will be based in **6750 Building, Makati City, Philippines.**
**Responsibilities include, but are not limited to, the following** :
**Data engineering and analysis**
+ Performs text, quantitative, statistical, financial, and operational analysis; identifying trends, patterns, and anomalies that impact financial performance
+ Designs and implements data pipelines to automate the collection, cleaning, and processing of financial data from various sources
+ Parse, cleanse, and manipulate large amounts of structured and unstructured data for analysis; perform QA testing to ensure accurate results
+ Document data analysis processes, methodologies, and findings.
**Insight generation and strategy**
+ Conducts deep-dive analyses to uncover actionable insights that influence financial and operational strategy
+ Provides data-driven support for enterprise-wide Finance initiatives, ensuring alignment with business unit goals.
**Collaboration and communication**
+ Collaborates with the business to review data sources, data inconsistencies, and business logic for initiating data discovery
+ Partner with cross-functional teams to understand data requirements and deliver actionable insights.
**Continuous Improvement**
+ Stay current with industry trends and emerging technologies to ensure our data analysis practices remain cutting-edge.
**About You**
We know our greatest resource is the ingenuity, creativity and innovation of our people. Applications from motivated and talented individuals with a keen interest in the energy industry are encouraged.
**Knowledge, Skills, and Experience:**
+ Bachelor's degree in Accountancy, Data Science, Computer Science, Statistics, or a related field (or equivalent experience).
+ 3+ years' experience in data science or advanced analytics
+ Expertise in working with large-scale data environments, including data lakes and distributed systems. Understands data architecture, table relationships, and data lineage across platforms.
+ Proficient in tools and languages such as Python, R, SQL
+ Experience in cloud-based Machine Learning services (e.g., Azure ML, AWS SageMaker). Capable of building, deploying, and maintaining AI/ML models in production environments.
+ Expertise in Extract, Transform, Load methodologies and tools and navigating through large datasets.
+ Strong analytical and problem-solving skills with attention to detail and accuracy.
+ Excellent written and verbal communication skills to effectively frame analytics opportunities and convey data-driven insights through storytelling
+ Experience in partnering with people of diverse cultural backgrounds.
**Preferred qualifications:**
+ Certified Public Accountant (CPA) or equivalent
+ Strong Finance background that can be translated to model design, ROI assessment, cost-benefit analyses, among other methodologies.
+ Background in Azure and DataRobot
+ Experience with finance and accounting tools (SAP, JDE, Blackline, GEP SMART)
+ Industry experience in oil & gas.
+ Proficiency in data modeling techniques, data fluency, and governance.
+ Experience in Information Risk Management (IRM).
_Everything we do at Chevron is guided by our values and our commitment to The Chevron Way_ _( _. At the heart of The Chevron Way is our vision to be the global energy company most admired for its people, partnership, and performance._
_Participate in world-leading energy projects, advance your professional development and expand your career within an inclusive, collaborative and high-performing workplace._
**Benefits**
+ Competitive salary
+ Allowances, medical and optical reimbursements
+ Health care coverage for you and your eligible dependents
+ Robust employee centered programs for health and wellness
+ Time-off to promote healthy work-life balance or to care for your family
+ Annual corporate incentive bonus when the company meets established goals
+ Recognition & awards program
+ Long-term savings plan
+ Life insurance
+ Career development opportunities to all employees through onboarding, training and development, mentoring, volunteering opportunities and employee networking groups
+ Hybrid work model - work remotely from home several days a week
At Chevron, we are committed to fostering diversity and inclusion at all levels of our company and at all stages of the employee experience. We constantly strive to attract, develop and retain diverse Filipino talent. Globally, Chevron Corporation has achieved a rating of 100 percent in the Human Rights Campaign Equality Index for the past 17 years. The Index ranks American companies based on their commitment to equality in the workplace.
Connect with us:
Facebook ( ( participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at .
Chevron is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.
This advertiser has chosen not to accept applicants from your region.
0
Data Scientist
Manulife
Posted 20 days ago
Job Viewed
Job Description
The **Data Scientist** will collaborate with various teams to deliver data-driven insights and scalable solutions that align with business objectives, while identifying opportunities for data solutions and building business cases to demonstrate their value and ROI. Additionally, research and develop ML and GenAI solutions to enhance automation, evaluate emerging technologies to improve workflows, and support change management during transitions.
**Position Responsibilities:**
+ Collaborate with multiple teams to provide data-driven insights, develop scalable data solutions, and support business objectives
+ Identify opportunities for data driven solutions, assess feasibility, and build business cases to demonstrate value and ROI
+ Research, prototype, and develop ML and GenAI powered solutions to enhance automation and decision-making processes
+ Evaluate and introduce emerging technologies, best practices, and tools to improve the team's capabilities and workflows
+ Provide support and facilitate change management during periods of transition.
**Required Qualifications:**
+ Degree in Statistics, Math, Computer Science, Engineering, or other courses with equivalent technical experience
+ Minimum of 5 years of applicable experience with advanced knowledge of programming languages and concepts (R, Python, Pyspark)
+ Experience developing frontends and APIs are a plus (Javascript, C, etc.)
+ Experience in designing and developing AI, NLP, and LLM powered solutions
+ Experience working and developing solutions on the cloud (Azure, AWS, GCP) is a plus
+ Strong knowledge of machine learning and AI algorithms
+ Strong communication skills; Able to simplify complex concepts to a broad audience
+ Proficient in querying and analyzing both structured and unstructured data (SQL, NoSQL, JSON, MongoDB)
+ Ability to manage multiple concurrent projects
+ Knowledge in statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques
+ Knowledge in data visualization tools such as PowerBI, plotly, R Shiny, etc.
**When you join our team:**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Modalidades de Trabajo**
Híbrido
**Position Responsibilities:**
+ Collaborate with multiple teams to provide data-driven insights, develop scalable data solutions, and support business objectives
+ Identify opportunities for data driven solutions, assess feasibility, and build business cases to demonstrate value and ROI
+ Research, prototype, and develop ML and GenAI powered solutions to enhance automation and decision-making processes
+ Evaluate and introduce emerging technologies, best practices, and tools to improve the team's capabilities and workflows
+ Provide support and facilitate change management during periods of transition.
**Required Qualifications:**
+ Degree in Statistics, Math, Computer Science, Engineering, or other courses with equivalent technical experience
+ Minimum of 5 years of applicable experience with advanced knowledge of programming languages and concepts (R, Python, Pyspark)
+ Experience developing frontends and APIs are a plus (Javascript, C, etc.)
+ Experience in designing and developing AI, NLP, and LLM powered solutions
+ Experience working and developing solutions on the cloud (Azure, AWS, GCP) is a plus
+ Strong knowledge of machine learning and AI algorithms
+ Strong communication skills; Able to simplify complex concepts to a broad audience
+ Proficient in querying and analyzing both structured and unstructured data (SQL, NoSQL, JSON, MongoDB)
+ Ability to manage multiple concurrent projects
+ Knowledge in statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques
+ Knowledge in data visualization tools such as PowerBI, plotly, R Shiny, etc.
**When you join our team:**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Modalidades de Trabajo**
Híbrido
This advertiser has chosen not to accept applicants from your region.
1
Data Scientist
Taguig, National Capital Region
AECOM
Posted today
Job Viewed
Job Description
AECOM is seeking for Data Scientist to be based in Manila, Philippines
At AECOM, we’re delivering a better world.
We believe infrastructure creates opportunities for everyone. Whether it’s improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive.
Our clients trust us to bring together the best people, ideas, technical expertise, and digital solutions to our work in transportation, buildings, water, the environment, and new energy. We’re one global team - 47,000 strong - driven by a common purpose to deliver a better world.
+ Mine and analyze data from company databases to drive optimization and improvement of processes, etc.
+ Assess the effectiveness and accuracy of new data sources and data gathering techniques
+ Use predictive modeling to increase and optimize business outcomes
+ Use machine learning tools to identify critical features and develop classification models based on business requirements
+ Using data modeling techniques to bring cohesion to unstructured and semi-structured data
+ Using natural language processing (NLP) and computer vision to analyze unstructured and semi-structured data
+ Carry out preprocessing of structured and unstructured data
+ Oversee the processing, cleansing, and validating the integrity of data to be used for analysis
+ Analyze large amounts of information to find patterns and solutions
+ Coordinate with different functional teams to implement models and monitor outcomes
+ Develop processes and tools to monitor and analyze model performance and data accuracy
+ Measures effectiveness of improvements through deep analysis of data on performance metrics striving for cost-effective high-quality improvements
Minimum Requirements
+ 3 to 5 years of proven experience as Data Analyst or Data Scientist
+ Knowledge of statistical programming languages like R, Python, and database query languages like SQL. Familiar with Java or C++ is an added advantage
+ Proven applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
+ Knowledge of machine learning methods
+ Strong math skills in Multivariable Calculus and Linear Algebra for predictive performance and algorithm optimization techniques
+ Proficiency in handling imperfections in data
+ Experience with Data Visualization tools (i.e., Tableau) to help visually encode data
+ Work effectively across functions, disciplines, and levels
+ Excellent communication skills crossing technical and non-technical audiences
+ Problem solving aptitude
+ Analytical mind with great business sense
+ Confident working with various groups (business analysts, developers, and end users)
+ A Master’s or Ph. D. degree or relevant qualification in mathematics, statistics, computer science, engineering, or another quantitative field
Preferred Qualifications
+ Ability to effectively communicate and collaborate within a varied audience and internal and external customers. (Communication)
+ Ability to maintain good customer relationship with the ability to initiate ways to improve customer support customer experience (Customer Service)
+ Ability to be thorough and meticulous in completing assigned tasks and with the ability to propose ways to prevent or eliminate errors, discrepancies & issues. (Attention to Detail)
What We Offer
We will give you the flexibility you need to do your best work with hybrid work options. Whether you’re working from an AECOM office, remote location or at a client site, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and pioneering mindset are championed. You will help us foster a culture of equity, diversity and inclusion - a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes for our clients. We will encourage you to grow and develop your career with us through our technical and professional development programs and diverse career opportunities. We believe in leadership at all levels. No matter where you sit in the organization you can make a lasting impact on the projects you work on, the teams and committees you join and our business. We offer competitive pay and benefits, well-being programs to support you and your family, and the development resources you need to advance your career. When you join us, you will connect and collaborate with a global network of experts - planners, designers, engineers, scientists, consultants, program and construction managers - leading the change toward a more sustainable and equitable future. Join us and let’s get started. As an Equal Opportunity Employer, we believe in each person’s potential, and we’ll help you reach yours.
At AECOM, we’re delivering a better world.
We believe infrastructure creates opportunities for everyone. Whether it’s improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive.
Our clients trust us to bring together the best people, ideas, technical expertise, and digital solutions to our work in transportation, buildings, water, the environment, and new energy. We’re one global team - 47,000 strong - driven by a common purpose to deliver a better world.
+ Mine and analyze data from company databases to drive optimization and improvement of processes, etc.
+ Assess the effectiveness and accuracy of new data sources and data gathering techniques
+ Use predictive modeling to increase and optimize business outcomes
+ Use machine learning tools to identify critical features and develop classification models based on business requirements
+ Using data modeling techniques to bring cohesion to unstructured and semi-structured data
+ Using natural language processing (NLP) and computer vision to analyze unstructured and semi-structured data
+ Carry out preprocessing of structured and unstructured data
+ Oversee the processing, cleansing, and validating the integrity of data to be used for analysis
+ Analyze large amounts of information to find patterns and solutions
+ Coordinate with different functional teams to implement models and monitor outcomes
+ Develop processes and tools to monitor and analyze model performance and data accuracy
+ Measures effectiveness of improvements through deep analysis of data on performance metrics striving for cost-effective high-quality improvements
Minimum Requirements
+ 3 to 5 years of proven experience as Data Analyst or Data Scientist
+ Knowledge of statistical programming languages like R, Python, and database query languages like SQL. Familiar with Java or C++ is an added advantage
+ Proven applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.
+ Knowledge of machine learning methods
+ Strong math skills in Multivariable Calculus and Linear Algebra for predictive performance and algorithm optimization techniques
+ Proficiency in handling imperfections in data
+ Experience with Data Visualization tools (i.e., Tableau) to help visually encode data
+ Work effectively across functions, disciplines, and levels
+ Excellent communication skills crossing technical and non-technical audiences
+ Problem solving aptitude
+ Analytical mind with great business sense
+ Confident working with various groups (business analysts, developers, and end users)
+ A Master’s or Ph. D. degree or relevant qualification in mathematics, statistics, computer science, engineering, or another quantitative field
Preferred Qualifications
+ Ability to effectively communicate and collaborate within a varied audience and internal and external customers. (Communication)
+ Ability to maintain good customer relationship with the ability to initiate ways to improve customer support customer experience (Customer Service)
+ Ability to be thorough and meticulous in completing assigned tasks and with the ability to propose ways to prevent or eliminate errors, discrepancies & issues. (Attention to Detail)
What We Offer
We will give you the flexibility you need to do your best work with hybrid work options. Whether you’re working from an AECOM office, remote location or at a client site, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and pioneering mindset are championed. You will help us foster a culture of equity, diversity and inclusion - a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes for our clients. We will encourage you to grow and develop your career with us through our technical and professional development programs and diverse career opportunities. We believe in leadership at all levels. No matter where you sit in the organization you can make a lasting impact on the projects you work on, the teams and committees you join and our business. We offer competitive pay and benefits, well-being programs to support you and your family, and the development resources you need to advance your career. When you join us, you will connect and collaborate with a global network of experts - planners, designers, engineers, scientists, consultants, program and construction managers - leading the change toward a more sustainable and equitable future. Join us and let’s get started. As an Equal Opportunity Employer, we believe in each person’s potential, and we’ll help you reach yours.
This advertiser has chosen not to accept applicants from your region.
2
Data Scientist - Business Intelligence
Qualfon Philippines Incorporated
Posted today
Job Viewed
Job Description
**MAJOR DUTIES AND RESPONSIBILITIES**
- Mine and analyze structured and unstructured data from company databases to drive optimization and improvement of products and services.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, targeting and other business outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Presenting results in a clear manner.
- Collaborate with cross-functional business and technical teams.
**REQUIREMENTS**
- **BASIC KNOWLEDGE**_
- Excellent computer skills
- Proficient in Microsoft Office (particularly Excel, Word, Outlook, Power Point)
- Language: English (Verbal & Written)
- Time management skills and ability to handle multiple priorities and deadlines simultaneously and effectively.
**_WORK EXPERIENCE_**
- 1 year experience using statistical computer languages such as Python and SQL to manipulate data and draw insights from large data sets.
- Proven Experience as Data Analyst or Data Scientist
**_EDUCATION_**
- Bachelor’s Degree or Higher in discipline related to Math/Technology/Engineering/Science a plus
**_TRAINING_**
- General knowledge of Telecom business various products and brands.
- Experience in collaboration tools such as Jira or Confluence is a plus.
**_CORE COMPETENCIES_**
- Excellent listening, written and Verbal communication skills.
- Well-developed problem-solving and critical thinking skills
- Aptitude for problem solving, both individually and in collaboration with teammates
- Ability to work independently, expedite tasks and deadlines.
**_SPECIFIC COMPETENCIES_**
- Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
- Machine learning algorithms and statistics: regression, time-series forecasting, clustering, decision trees, neural networks, Natural Language Processing.
- Experienced with data visualization tools and techniques such as plotly, Tableau, Power-BI, Streamlit
- Familiar with cloud technologies (AWS preferred): Amazon Sagemaker, S3, Redshift, Lambda, etc.
- Familiar with GitHub or equivalent code repositories.
**_BEHAVIORAL COMPETENCIES_**
- Positive attitude
- Proactive
- Active Listener
- Organized
- Impartial
- Committed
- Inquisitive
- Reliable
- Integrity
- Flexible
- High professional standards
- Empathy
**Job Types**: Full-time, Permanent
**Salary**: From Php50,000.00 per month
**Benefits**:
- Employee discount
- Free parking
- Health insurance
- Life insurance
- On-site parking
- Opportunities for promotion
- Paid training
- Pay raise
- Transportation service provided
Schedule:
- 8 hour shift
- Evening shift
- Holidays
- Late shift
- Monday to Friday
- Night shift
- Overtime
- Rotational shift
- Weekends
Supplemental Pay:
- 13th month salary
- Bonus pay
- Overtime pay
- Performance bonus
COVID-19 considerations:
All employees are required to wear masks and practice social distancing within the Qualfon premises. Health declaration must be practiced upon entering the entrance. Our onsite vaccination program is actively ongoing.
Willingness to travel:
- 100% (required)
- Mine and analyze structured and unstructured data from company databases to drive optimization and improvement of products and services.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, targeting and other business outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Presenting results in a clear manner.
- Collaborate with cross-functional business and technical teams.
**REQUIREMENTS**
- **BASIC KNOWLEDGE**_
- Excellent computer skills
- Proficient in Microsoft Office (particularly Excel, Word, Outlook, Power Point)
- Language: English (Verbal & Written)
- Time management skills and ability to handle multiple priorities and deadlines simultaneously and effectively.
**_WORK EXPERIENCE_**
- 1 year experience using statistical computer languages such as Python and SQL to manipulate data and draw insights from large data sets.
- Proven Experience as Data Analyst or Data Scientist
**_EDUCATION_**
- Bachelor’s Degree or Higher in discipline related to Math/Technology/Engineering/Science a plus
**_TRAINING_**
- General knowledge of Telecom business various products and brands.
- Experience in collaboration tools such as Jira or Confluence is a plus.
**_CORE COMPETENCIES_**
- Excellent listening, written and Verbal communication skills.
- Well-developed problem-solving and critical thinking skills
- Aptitude for problem solving, both individually and in collaboration with teammates
- Ability to work independently, expedite tasks and deadlines.
**_SPECIFIC COMPETENCIES_**
- Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
- Machine learning algorithms and statistics: regression, time-series forecasting, clustering, decision trees, neural networks, Natural Language Processing.
- Experienced with data visualization tools and techniques such as plotly, Tableau, Power-BI, Streamlit
- Familiar with cloud technologies (AWS preferred): Amazon Sagemaker, S3, Redshift, Lambda, etc.
- Familiar with GitHub or equivalent code repositories.
**_BEHAVIORAL COMPETENCIES_**
- Positive attitude
- Proactive
- Active Listener
- Organized
- Impartial
- Committed
- Inquisitive
- Reliable
- Integrity
- Flexible
- High professional standards
- Empathy
**Job Types**: Full-time, Permanent
**Salary**: From Php50,000.00 per month
**Benefits**:
- Employee discount
- Free parking
- Health insurance
- Life insurance
- On-site parking
- Opportunities for promotion
- Paid training
- Pay raise
- Transportation service provided
Schedule:
- 8 hour shift
- Evening shift
- Holidays
- Late shift
- Monday to Friday
- Night shift
- Overtime
- Rotational shift
- Weekends
Supplemental Pay:
- 13th month salary
- Bonus pay
- Overtime pay
- Performance bonus
COVID-19 considerations:
All employees are required to wear masks and practice social distancing within the Qualfon premises. Health declaration must be practiced upon entering the entrance. Our onsite vaccination program is actively ongoing.
Willingness to travel:
- 100% (required)
This advertiser has chosen not to accept applicants from your region.
3
Machine Learning Engineer
Parañaque, National Capital Region
J&J Family of Companies
Posted 1 day ago
Job Viewed
Job Description
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Function:**
Data Analytics & Computational Sciences
**Job Sub** **Function:**
Data Science
**Job Category:**
Scientific/Technology
**All Job Posting Locations:**
Paranaque, National Capital Region (Manila), Philippines
**Job Description:**
**We are searching for the best talent for** **Machine Learning Engineer.**
As a Data Science / ML Engineer at J&J, you will collaborate closely with stakeholders across various functions to develop innovative Data Science solutions addressing diverse business challenges. From feasibility studies to deployment, you'll be involved in the entire lifecycle-from understanding pain points to transforming data into impactful insights and scalable models.
**You will be responsible for**
+ Partnering with stakeholders to understand their business problems and define data-driven solutions.
+ Conducting feasibility studies by engaging with stakeholders to capture pain points and relevant use cases.
+ Extracting and collecting data from databases and other sources in collaboration with Data Engineers and IT teams.
+ Cleaning, preprocessing, and standardizing data to ensure quality and usability.
+ Researching appropriate solutions by reviewing literature on statistical and machine learning methodologies, exploring Python libraries, and evaluating available models such as LLMs.
+ Performing feature engineering to build predictors/variables vital for model accuracy.
+ Coding solutions using Python within analytics platforms like Databricks.
+ Communicating findings and solutions to stakeholders; iteratively refine models based on testing and validation.
+ Deploying models in analytics platforms, working with Software Developers on frontend designs for real-time predictions or Data Visualization specialists for batch/scheduled forecasts using tools like Tableau or PowerBI.
+ Collaborating with Data Engineers to deploy backend pipelines supporting these solutions.
**Qualifications / Requirements** **:**
+ At least 2 years of experience in Data Science, Data Analytics, Statistical Modeling, Machine Learning Engineering, or related roles.
+ Bachelor's or Master's degree in Statistics, Physics, Computer Science, Engineering, Mathematics, Economics, or a similar field.
+ Proficient in Python, with experience using libraries such as statsmodels, TensorFlow, PyTorch, etc., especially for statistical modeling, machine/deep learning, and handling big data.
+ Knowledge of Large Language Models (LLMs) for Natural Language Processing
+ Knowledge on Statistical and Machine Learning modeling (such as clustering, regression modeling, time series modeling, etc.).
+ Experience with SQL and data manipulation techniques.
+ Familiarity with analytics platforms such as Databricks, Domino, Dataiku, etc.
+ Familiarity with dashboard and visualization tools like Tableau and Power BI.
+ Willingness to work on a mid shift
Data Analytics & Computational Sciences
**Job Sub** **Function:**
Data Science
**Job Category:**
Scientific/Technology
**All Job Posting Locations:**
Paranaque, National Capital Region (Manila), Philippines
**Job Description:**
**We are searching for the best talent for** **Machine Learning Engineer.**
As a Data Science / ML Engineer at J&J, you will collaborate closely with stakeholders across various functions to develop innovative Data Science solutions addressing diverse business challenges. From feasibility studies to deployment, you'll be involved in the entire lifecycle-from understanding pain points to transforming data into impactful insights and scalable models.
**You will be responsible for**
+ Partnering with stakeholders to understand their business problems and define data-driven solutions.
+ Conducting feasibility studies by engaging with stakeholders to capture pain points and relevant use cases.
+ Extracting and collecting data from databases and other sources in collaboration with Data Engineers and IT teams.
+ Cleaning, preprocessing, and standardizing data to ensure quality and usability.
+ Researching appropriate solutions by reviewing literature on statistical and machine learning methodologies, exploring Python libraries, and evaluating available models such as LLMs.
+ Performing feature engineering to build predictors/variables vital for model accuracy.
+ Coding solutions using Python within analytics platforms like Databricks.
+ Communicating findings and solutions to stakeholders; iteratively refine models based on testing and validation.
+ Deploying models in analytics platforms, working with Software Developers on frontend designs for real-time predictions or Data Visualization specialists for batch/scheduled forecasts using tools like Tableau or PowerBI.
+ Collaborating with Data Engineers to deploy backend pipelines supporting these solutions.
**Qualifications / Requirements** **:**
+ At least 2 years of experience in Data Science, Data Analytics, Statistical Modeling, Machine Learning Engineering, or related roles.
+ Bachelor's or Master's degree in Statistics, Physics, Computer Science, Engineering, Mathematics, Economics, or a similar field.
+ Proficient in Python, with experience using libraries such as statsmodels, TensorFlow, PyTorch, etc., especially for statistical modeling, machine/deep learning, and handling big data.
+ Knowledge of Large Language Models (LLMs) for Natural Language Processing
+ Knowledge on Statistical and Machine Learning modeling (such as clustering, regression modeling, time series modeling, etc.).
+ Experience with SQL and data manipulation techniques.
+ Familiarity with analytics platforms such as Databricks, Domino, Dataiku, etc.
+ Familiarity with dashboard and visualization tools like Tableau and Power BI.
+ Willingness to work on a mid shift
This advertiser has chosen not to accept applicants from your region.
4
Software Engineer (AI/Machine Learning)
Hrtx
Posted 3 days ago
Job Viewed
Job Description
Join a high-impact engineering team driving innovation through AI-powered development . Were looking for a Senior Software Engineer who thrives in full-stack environments and is passionate about integrating AI and LLMs to elevate how we build software.
What Youll Do:
- Lead the design and development of scalable apps using .NET, Python, Angular/React
- Use AI coding assistants (Copilot, Cursor) and frameworks (LangChain, RAG, vector DBs)
- Embed LLM-powered features directly into tools and workflows
- Optimize cloud-based systems (AWS/Azure, serverless, containers)
- Champion best practices across teams and mentor on AI, Agile, and engineering excellence
What You Bring:
- 5+ years in full-stack development (.NET, Python, Angular/React)
- Hands-on with AI tools and model integration
- Strong cloud experience (AWS/Azure), APIs, SQL/NoSQL
- DevOps, CI/CD, and containerization knowledge (Docker/K8s)
- Deep curiosity for emerging tech and passion for team mentorship
Why This Role Stands Out:
This is not just a dev role. Youll be at the frontier of AI-driven software engineering , influencing how modern systems are built, maintained, and scaledwhile shaping the future of the developer experience.
Interested? Lets build whats next. Apply now!
This advertiser has chosen not to accept applicants from your region.
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