Where the Best Minds
Come Together to Make a
Difference
About the Company
We are in the business of transforming companies as a data science and management consulting company. Offices in Singapore and in the Philippines. Our Founders and Senior Consultants have decades of experience working in a variety of industries across the following countries in Southeast Asia: Philippines, Singapore, Indonesia, Malaysia, Vietnam, Thailand, Myanmar.

We believe that people are our greatest asset. Because we hire only the brightest, we encourage them to deliver their best everyday. Every moment in our organization is an opportunity to demonstrate ones talent and make an impact. Every member of the organization knows that they are empowered and trusted to act in the best interest of the organization and those we serve.
All in a Day’s Work
What’s it like to work with us?
Cobena works with the world's most loved brands. Everyday is an opportunity to build, create, innovate and make an impact in the businesses we serve.
What’s it like to intern with us?
Interns have unparalled hands-on opportunity to experience working and co-create with experienced data scientists and consultants.

Opportunities
URGENT
Data Scientist
URGENT
Senior Consultants, Project Management and Research
Intern
Meet Bryan
“It's the perfect mix of solving problems, learning something new, making an impact, growing in our strengths, and enjoying together.”
  • Conduct undirected research and frame open-ended industry questions.
  • Perform data studies of new and diverse data sources from internal and external sources.
  • Identify unique opportunities to collect new data. Strategizes new uses for data and its interaction with data design.
  • Locates new data sources, analyses statistics and implements quality procedures.
  • Employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modelling.
  • Explore and examine data from a variety of angles to determine hidden weaknesses, trends and/or opportunities.
  • Devise data-driven solutions to the most pressing challenges.
  • Invent new algorithms to solve problems and build new tools to automate work.
  • Communicate predictions and findings to management through effective data visualizations and reports.
  • Recommend cost-effective changes to existing procedures and strategies.
  • Design new processes and builds large, complex data sets.
  • Finds new uses for existing data sources.
  • Discover “stories” told by the data and presents them to other scientists and business managers.
  • Conduct scalable data research on and off the cloud.
  • Implement automated processes for efficiently producing scale models.
  • Design, modify and build new data processes.
  • Implement new or enhanced software designed to access and handle data more efficiently.
  • Train the data management team on new or updated procedures.
  • Analytics – Understanding what data to collect, how to analyse and detect patterns and links.
  • Computer Science – Automating new, break-out algorithmic processes to drive business changes.
  • Knowledge of the following preferred:
  • SAS and/or R – In-depth knowledge of at least one of the analytical tools available.
  • Python Coding – Knowledge of coding languages such as Python, Java,
  • Perl or C/C++
  • Hadoop
  • SQL Database/Coding – able to write and execute complex queries in SQL
  • Tableau
  • Unstructured data – able to work with unstructured data such as social media, video / audio feeds, etc.
  • Statistics – Seeking innovative insights by correlating data in new ways.
  • Creativity – Designing new approaches to collecting, analyzing and interpreting data.
  • Business Strategy – Understanding the business objectives, hurdles, competition, goals and futures.
  • Communication – Presenting results to ensure the insights are understood, deployed and expanded, engaging stakeholders throughout the change journey
Data Scientist
  • ​BS (and ideally Masters) in Mathematics, Statistics, Computer Science or Engineering
  • With background, experience in data analytics preferred
  • Highly analytical and intelligent.
  • Intellectually curious.
  • Strong interpersonal skills, ability to communicate (English and Tagalog) well. Collaborates with functional and cross-functional teams well.
  • Strong problem solving and creative skills and the ability to exercise sound judgment and make decisions based on accurate and timely analyses.
  • High level of integrity and dependability with a strong sense of urgency and results-orientation.


Data Scientist
BRYAN TIU
Data Analyst
Meet Leean
“Working at Cobena is interesting -- there's always something new. The workload is full but the people are fun, which is the best part.”
  • Preparation of business proposals
  • Solutions design
  • Project management
  • Database design, management and maintenance including datascrubbing
  • Documentation
  • Conducts various types of market research to assist in the development of proposals/ design of business solutions using online and offline sources
  • Collect data on clients’ and their competitors’ tactics, market conditions and consumer demographics
  • Create and evaluate methods for amassing data, including surveys,interviews, questionnaires and opinion polls
  • Analyze data using statistics programs, predictive analytics and other data-driven tools
  • Monitor and forecast marketing/sales trends; highlight opportunities for new initiatives and promotions
  • Convert complex data findings into text, tables, graphs and data visualizations
  • Research and analyze market trends and statistics to make modeling decisions
  • Develop and implement complex quantitative models (e.g. models for trading equities) and analytical software/tools
  • Perform daily statistical analyses (e.g. risk analytics, Tableau & Excel analysis) and coding tasks (e.g. pattern recognition or machine learning)
  • Detail model specifications and methods of data collection
  • Present and interpret data results to senior management and clients
  • Designs final presentation materials, writes the reports
  • Works with external vendors in the delivery of various project requirements
  • Any additional responsibilities that may be assigned from time to time
Senior Consultants, Project Management and Research
  • BS in Business, Management, Marketing, Mathematics, Computer Science, Engineering or related courses
  • Digital native: highly adept with the use of digital / IT tools: Microsoft office, social network applications, programming software/ freeware (preferred, not required); data analytics tools (preferred/ not required)
  • Personal Attributes:
  • Highly analytical and intelligent. Intellectually curious
  • Strong problem solving and creative skills and the ability to exercise sound judgment and make decisions based on accurate and timely analyses.
  • High desire to succeed.
  • Positive / strong “can do” attitude.
  • Strong sense of personal commitment and sense of urgency
  • High level of integrity and dependability
  • Energetic; strong capability to energize others


Senior Consultants, Project Management and Research
Leean Tria
Client Partnerships Associate
  • Creativity & problem solving skills
  • Database design, management and maintenance including data scrubbing
  • Conducts various types of market research to assist in the development of proposals/ design of business solutions using online and offline sources
  • Locates new data sources, analyses statistics and implements quality procedures.
  • Employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modelling.
  • Explore and examine data from a variety of angles to determine hidden weaknesses, trends and/or opportunities.
Intern
  • Undergraduate students of Business, Management, Marketing, Mathematics, Computer Science, Engineering or related courses


Intern
DATA SCIENTIST
closed

As a data scientist of COBENA, you will represent the very essence of the company. The role requires a deep foundation in computer science and applications, modelling, statistics, analytics and math as well as a strong business acumen, coupled with the ability to communicate findings to both business and IT leaders. A data scientist at COBENA will have the responsibility of spearheading the transformation strategies of our clients. You will need to master the capabilities of being part analyst, part artist; a Renaissance individual.

A COBENA data scientist does not simply collect and report on data, but also looks at it from many angles, determines what it means, then recommends ways to apply the data.

Responsibilities:

  • Conduct undirected research and frame open-ended industry questions.
  • Perform data studies of new and diverse data sources from internal and external sources.
  • Identify unique opportunities to collect new data. Strategizes new uses for data and its interaction with data design.
  • Locates new data sources, analyses statistics and implements quality procedures.
  • Employ sophisticated analytics programs, machine learning and statistical methods to prepare data for use in predictive and prescriptive modelling.
  • Explore and examine data from a variety of angles to determine hidden weaknesses, trends and/or opportunities.
  • Devise data-driven solutions to the most pressing challenges.
  • Invent new algorithms to solve problems and build new tools to automate work.
  • Communicate predictions and findings to management through effective data visualizations and reports.
  • Recommend cost-effective changes to existing procedures and strategies.
  • Design new processes and builds large, complex data sets.
  • Finds new uses for existing data sources.
  • Discover “stories” told by the data and presents them to other scientists and business managers.
  • Conduct scalable data research on and off the cloud.
  • Implement automated processes for efficiently producing scale models.
  • Design, modify and build new data processes.
  • Implement new or enhanced software designed to access and handle data more efficiently.
  • Train the data management team on new or updated procedures.

Technical Skills (Analytics and Computer Science):

  • Analytics – Understanding what data to collect, how to analyse and detect patterns and links.
  • Computer Science – Automating new, break-out algorithmic processes to drive business changes.
  • Knowledge of the following preferred:
  • SAS and/or R – In-depth knowledge of at least one of the analytical tools available.
  • Python Coding – Knowledge of coding languages such as Python, Java,
  • Perl or C/C++
  • Hadoop
  • SQL Database/Coding – able to write and execute complex queries in SQL
  • Tableau
  • Unstructured data – able to work with unstructured data such as social media, video / audio feeds, etc.
  • Statistics – Seeking innovative insights by correlating data in new ways.

Non-Technical Skills

  • Creativity – Designing new approaches to collecting, analyzing and interpreting data.
  • Business Strategy – Understanding the business objectives, hurdles, competition, goals and futures.
  • Communication – Presenting results to ensure the insights are understood, deployed and expanded, engaging stakeholders throughout the change journey
Qualifications and Requirement

  • BS (and ideally Masters) in Mathematics, Statistics, Computer Science or Engineering
  • With background, experience in data analytics preferred

Personal Attributes:

  • Highly analytical and intelligent.
  • Intellectually curious.
  • Strong interpersonal skills, ability to communicate (English and Tagalog) well. Collaborates with functional and cross-functional teams well.
  • Strong problem solving and creative skills and the ability to exercise sound judgment and make decisions based on accurate and timely analyses.
  • High level of integrity and dependability with a strong sense of urgency and results-orientation.
Start Your Cobena Career Today