Lately, everything needs analytics, and LENA is a Philippine start-up that provides just that. We provide personalized end-to-end data solutions to both leaders of industries and to SMEs that are looking for an edge -- whether that is in data collection, data storage, data analytics, AI, data science or data strategy! Our objective goes beyond delivering solutions, but to enable clients to appreciate, learn, and integrate data-driven techniques and analytics for their organizations.
As part of our goal to enable transformation through data, we are looking for future leaders who are looking to improve themselves, and are excited to shape individuals, organizations, and even societies. As a LENA employee, you will be both an analytical and creative engineer who is able to grasp user needs, work together to create impactful solutions, and communicate business outcomes.

LENA is the trade name of Twelve Baskets Analytics, Inc.

--- COMPANY VALUES ---
PASSION FOR LEARNING AND INNOVATION
We appreciate the fact that everyone knows something others do not and no one knows everything they need to know. We learn from ourselves and one another. We practice an attitude of teaching and learning to grow as a team.
We value the journey of finding new and better ways of doing things. We continuously develop works of quality and innovate better practices.

WE AS A TEAM
We promote smart ideas and good collaboration working as a team. We understand and accept the value of feedback, listening, and following. We manage and lead our work in a manner that benefits everyone. We initiate and participate in developing ourselves, our work, our customers, and our workplace.

ENGINEERING AND ENTREPRENEURSHIP
We believe that our work must create value for our customers and ourselves. We approach each day with the initiative to solve business problems smartly and to automate as much as we can.

LENA - Lately, Everything Needs Analytics

We are looking for bright and talented Data Scientists to join our dynamic team here at LENA.

As a Data Scientist, you are responsible for managing data-related development pipelines. You will design and develop data science projects, review data-related code, and research on data packages.

Specifically, you may be tasked to perform the following:

<ul>
	<li>Designing data solutions with clients;</li>
	<li>Researching and understanding packages and technologies related to data science;</li>
	<li>Developing data solutions for internal or client use; and</li>
	<li>Managing data solutions development and improvement.</li>
</ul>

 

As part of a new team, you will help lay the culture and technical foundation for the team. You will enjoy growth opportunities working alongside a team that encourages intellectual excitement and a startup working environment. You will have the opportunity to bring your skills to the next level and acquire new ones along the way.

Data Scientist

Founded in 1987, Questronix Corporation has grown to be one of the largest IT solution provider and systems integrator in the Philippines. We offer best of breed solutions from IT infrastructure to business applications, built on world class technology companies and supported by our certified technical team with proven Filipino expertise and skills available in the country today.

In 1990, Questronix was appointed by IBM as its first business partner for IBM UNIX platform and the company evolved in providing end-to-end solutions that run on IBM technology. After a decade of investment, skills and commitment in working with IBM, Questronix was awarded the Premier Business Partner status, making our company the first Business Partner in the country to be elevated to this exclusive circle.

Our methodology on selecting our technology partners and implementation team for our services ecosystem allows us to deliver consulting-led systems integration focused on open standards, interoperability and proven best practices that result in higher project success rates.

Today, Questronix’s solutions suite include Data Center & IT infrastructure, IT Service Management, Security, Business Continuity, Hybrid Cloud Solutions, Mobility Solutions, Enterprise Resource Planning, Business Analytics, Enterprise Asset Management, Enterprise Content Management, Information and Data Management, Business Process Management and Industry Specific Solutions.

Approaching its 34th year in business, Questronix Corporation continuously strives to improve and evolve coupled by its enduring drive to deliver Filipino excellence and workmanship to its clients. As such, it has earned prestigious awards and recognitions – a proud testimony to its achievements that have firmly etched its name in the IT corporate landscape.

Questronix Corporation

<ul>
	<li>Data Architecture Design - Design, develop and implement data architectures that align with business needs and growth plans. Define data models, schemas and structures for different types of data</li>
	<li>Data Integration - Work closely with data engineers to ensure smooth data integration from various sources. Design and implement ETL (Extract, Transform and Loan) processes.</li>
	<li>Database Management - Optimize and manage databases for performance, scalability, and reliability.</li>
	<li>Data Governance - Establish data governance frameworks, data quality standards, and data lifecycle management processes. Ensure compliance with data privacy regulations and security practices.</li>
	<li>Collaboration - Collaborate with cross-functional teams including data scientists, analysts, software developers, and business stakeholders to understand data requirements and provide suitable solutions.</li>
	<li>Documentation - Document data architecture designs, data flows, and technical specifications. Create and maintain documentation to aid in knowledge sharing and future reference.</li>
	<li>Performance Optimization - Monitor and analyze data system performance. Identify bottlenecks and areas for improvement, and implement solutions to enhance data processing speed and efficiency.</li>
</ul>

Data Architect

Dexcom is the #1 recommended CGM brand by people with diabetes and healthcare providers.

The Dexcom CGM difference
As a pioneer and leader in real-time continuous glucose monitoring (RT-CGM), Dexcom helps to simplify diabetes management. Our CGM Systems provide best-in-class accuracy1 and exceptional convenience, allowing you to live a healthier, more confident life.

Dexcom Philippines Inc.

About Dexcom: 
Founded in 1999, Dexcom, Inc. provides continuous glucose monitoring technology to help patients and their clinicians better manage diabetes. Since our inception, we have focused on better outcomes for patients, caregivers, and clinicians by delivering solutions for people with diabetes - while empowering our community to take control of diabetes.

 
Summary: 
The Data Engineer will be a key contributor to Dexcom’s Customer Advocacy’s Post Market Surveillance Data Analytics. You will be part of the team that works to track and understand product performance in the field by implementing methods to improve data reliability and data quality. 

 
Functional Description: Technical Individual Contributor 
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for Customer Advocacy and product enhancement. Develops and codes software programs, automated processes to cleanse, transform, integrate, and evaluate large datasets from multiple disparate sources. 

 
Essential Duties and Responsibilities: 
- Create and maintain optimal data pipeline architecture. 
- Assemble large, complex data sets that meet functional / non-functional business requirements. 
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. 
- Build the infrastructure required for optimal extraction, transformation, and loading (ETL/ELT) of data from a wide variety of data sources using DBT, SQL, Python, Snowflake and Google Cloud Platform technologies. 
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our products 
- Work with data and analytics experts to strive for greater functionality in our data systems.

Data Engineer II

Kompas Gramedia, through its more than 50 years of history, is striving for one goal: enlightening and empowering Indonesia. To ensure that we are able to serve the nation for another 50 years, we are undergoing a digital transformation; strengthening and expanding our solid business pillars by developing new digital business initiatives.

Our vision is to enlight all the people in Indonesia with all the knowledge we have.

Kompas Gramedia

<ul>
	<li>Collaborate with different functional teams to integrate model and monitor outcomes</li>
	<li>Research, benchmark, and implement algorithms of state-of-the-art (SOTA) from assessing research papers</li>
	<li>Develop and perform A/B testing framework and test model performance</li>
	<li>Perform predictive modeling to optimize data insight, Ads targeting, customer experience, revenue generation, and other business outcomes</li>
	<li>Involve in end-to-end Machine Learning development lifecycle</li>
	<li>Craft products and find opportunities out of analyses that are suitable for our business needs.</li>
</ul>

<ul>
	<li>Capitalize structured /unstructured data and use data science technique to develop big data use cases in multiple areas</li>
	<li>Selecting features, building and optimizing classifiers using machine learning techniques</li>
	<li>Doing ad-hoc analysis/business intelligence and presenting results in a clear manner</li>
	<li>Work closely with data engineer and other teams for ensuring the succes of data related projects implementation</li>
</ul>

Data Scientist KG Media

Data Science Education Center

Algoritma is founded with the purpose of making data science accessible to everybody. We organise data science workshop for individuals and corporate, we adopt a learn-by-building approach suited to beginners and non-programmers.
What is it like working at Algoritma?

STARK Values at Algoritma:

1. Stay Proactive & Positive: We entrust people with huge responsibilities and allow for a high degree of autonomy and creative freedom.
- Our employees take initiative
- Our managers believe in empowerment
- Our project directors take ownership of their results. 

2. Trust & Loyalty: We may not be able to control everything, but we can influence certain things. 
- Our employees are trustworthy and loyal
- Our manager do not take unethical shortcuts and think of long term impact of their decisions

3. Accountability. Accountability is about follow through and getting done what you said you’d get done. It’s recognizing that other team members are dependent on the results of your work. It’s about open, proactive communication to keep team members informed of the status of your commitments because it has a direct impact on their ability to
achieve their own commitments.
- Our employees take the responsibility to complete the tasks assigned.
- Our employees perform the duties required by the job further the goals of the
organization.
- Our employees recognize that 
 procrastinating feedback only makes things
worse, thus makes accountability it a habit

4. Relentless & focused: We demonstrate outstanding focus and work ethics, productivity, and a sense of urgency in our work.
- Our employees are reliable in their commitment
- Our managers set challenging but attainable goals

5. Kindness: We treat others how we would want to be treated. We respect other people’s opinion despite disagreement. We do not shame others for voicing their concern or opinion, we embrace openness and kindness. We believe that people who are compassionate are easier to work with and are more successful as they receive more opportunities. You can’t fake a culture of kindness.
- Our employees get things done without stepping on others.
- Our employees don't use fear tactics or shaming.

Algoritma

Are you looking to build a career in data science and make a positive impact on others? Algoritma was founded in 2017 to make data science skills accessible to everybody. We organize corporate training, programming workshops, and data science bootcamps that adopt a learn-by-building approach suited to beginners and non-programmers. We are seeking passionate and motivated individuals to join our team as Data Science Instructors. As a member of our team, you will have the opportunity to improve your own skills in R, Python, and SQL while helping our students acquire employable data science skills through our intensive development program. The development program aims to equip successful candidates with the required skills to become Data Science Instructors while helping our Students acquire employable Data Science Skills.

At Algoritma, we believe in the power of education to transform lives. That's why we offer corporate training, programming workshops, and data science bootcamps that are accessible to beginners and non-programmers, using a learn-by-building approach. As a Data Science Trainee, you'll be responsible for completing this development program, maintaining our class management system, and answering online mentor support inquiries from our clients. You'll also assist the lead instructor in conducting workshops, tracking attendance, and ensuring logistics and venue preparation. Plus, you'll have the chance to contribute to the development of Algoritma's educational content and tools, helping to improve our team's pedagogical excellence.

If you're committed to lifelong learning and want to make a difference in the lives of others through data science education, we encourage you to apply for this exciting opportunity at Algoritma. Join our team and start building a rewarding career today.

The Role

<ul>
	<li>Complete the Data Science Trainee development program Algoritma Instructor and Course Producer designed.</li>
	<li>Responsible for maintaining Algoritma's Class Management System to meet the SLA for student assignment grading.</li>
	<li>Responsible for answering online mentor support service for all Algoritma clients in answering technical data-science-related questions.</li>
	<li>Assist the lead instructor in conducting a workshop as a teaching assistant.</li>
	<li>Responsible for tracking attendance, ensuring logistics and venue preparation, and solving technical problems.</li>
	<li>Contribute to developing Algoritma educational content in data science for a network of Alumni or Corporate Clients.</li>
	<li>Contribute to Algoritma's tools development for analyzing and improving the team's pedagogical excellence.</li>
</ul>

Data Science Trainee

PT. Indocyber Global Teknologi, an integrated information and technology system provider, dedicated to delivering highly effective solutions in the field of Information Systems. Our core business focuses on information technology services, digital marketing and IT infrastructure. 

PT. Indocyber Global Teknologi started with only 10 (ten) personnel, currently, after years of experience, we are supported by more than 200 consultants and developers.

PT. Indocyber Global Teknologi

<ul>
	<li>Apply strong programming, algorithmic, data processing skills with significant experience in producing production-ready code in Python/Scala/Java etc</li>
	<li>Monitoring performance and advising any necessary infrastructure changes.</li>
	<li>Assisting application developers and advising on efficient big data application development using cutting edge technologies</li>
	<li>Knowledge in Agile work methodologies</li>
	<li>Ingesting huge volumes of compressed data from various platforms for Analytics needs and writing high-performance, reliable and maintainable ETL code.</li>
</ul>

Data Engineer (DM)

NRI Indonesia was established in October 2015. NRI Indonesia supports the advancement of clients' Digital Transformation (DX) with our comprehensive services of IT consulting and software development, backed by the knowledge, proven track record and expertise of our parent company, Nomura Research Institute (NRI) Japan. We realize truly meaningful solutions for our clients, and support their growth by seamlessly combining our consulting and tech capabilities. At NRI Indonesia, we strive to solve social issues and contribute to a sustainable future.

Our activities cover the following:
- Planning, designing and implementing enterprise system
- Designing/implementing loyalty program
- Big data analytics
- Managing and operating systems particularly in the area of retail and distribution, manufacturing, finance and service industries

According to NRI’s basic philosophy, NRI Indonesia aims co-prosperity with our clients in the long term relationship, and wishes to contribute to economic growth with improvement of human life in Indonesia.

Nomura Research Institute Indonesia

A Machine Learning Engineer trains, validates and evaluates machine learning and deep learning models which perform predictive tasks in various domains such as computer vision, natural language understanding and time-series analysis. Some examples include visual recognition models, activity detection using sensor data and demand forecasting.

<ul>
	<li>Translate and refine business goals into appropriate machine learning objectives.</li>
	<li>Design and implement ML/DL solutions and integrate them with various Big Data platforms and architectures.</li>
	<li>Create and maintain ML pipelines that are scalable, robust, and ready for production.</li>
	<li>Collaborate with domain experts, software developers, and data scientists.</li>
	<li>Troubleshoot ML/DL model issues, including recommendations for retrain, re-validate, and improvements/optimization.</li>
</ul>

Machine Learning Engineer (MLE)

<ul>
	<li>Perform data exploration, data cleaning, data imputation, and feature engineering on unstructured and structured data.</li>
	<li>Build the infrastructure for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources.</li>
	<li>Develop and maintain optimal data pipeline architecture for training statistical and machine learning models such as regression and classification.</li>
	<li>Develop and maintain evaluations to measure the effectiveness of training data. This includes measuring the capabilities of models on a variety of tasks and domains.</li>
	<li>Collaborate with data scientists and machine learning engineers to develop a comprehensive data science/machine learning solution pipeline.</li>
</ul>

Data Engineer (DE)

FinAccel is a fun, fast growing company with lofty ambitions. Starting with instant ecommerce financing, we are on a goal to disrupt unsecured lending in Southeast Asia, one of the fastest growing economic regions globally. Our first product, Kredivo, which integrates at merchant checkout, qualifies ecommerce buyers for instant ecommerce purchase financing at rates which are much lower than consumer finance companies.  We do this by using breakthrough technology and science to unlock unprecedented insights about credit risk and fraud from multiple data sources: phone, social networks, telco, financial and location data.

FinAccel is founded by an experienced and well rounded team: Akshay Garg (cofounder Komli Media), Umang Rustagi (McKinsey financial services) and Alie Tan (PicStory and Affle). The company is backed by some of the biggest investors in the region: Jungle Ventures, GMO, AlphaJWC and 500 Startups. The company has a flat, egalitarian structure, no politics, no BS; people who are problem solvers and execute fast will thrive here.

FinAccel is not for everyone. People who do well here tend to have a few qualities in common:
- Intelligent
- Intellectually curious
- High ownership over their work
- Strong communicators
- Biased for speed
- Team players
- Excited by an all-in work culture
- Motivated by building innovative products

We provide employees with a work environment which is:
- learning and execution oriented without any politics or excessive managerial overhead,
- where taking initiative is highly valued,
- where making mistakes is encouraged as long as you keep learning from them,
- one of the best compensation structures in the startup world (everyone is a shareholder in the company).

If you feel this is you, then we'd love to hear from you.

FinAccel

As a Software Engineer, Data you will be expected to:

<ul>
	<li>Develop and implement Machine Learning pipeline infrastructure, including but not limited to: ETL (Extract, Transform and Load) of raw data into model features and building platform to automate ML training, testing and maintenance.</li>
	<li>Partnering with Data Scientists to transform prototypes of predictive models into high performance, well integrated systems.</li>
</ul>

Software Engineer, Data

At Dorskin, we are not prioritizing how to sell products for Indonesian market but focusing more on how we can help society, especially acne fighters. From a small brand that was established on 2021, we are aiming to deliver happiness for all and be the top mind acne brand in Indonesia with our first product, Matcha Glow Sleeping Mask.
And with stable goal in our mind, we have released more products that related to acne fighters in Indonesia and received achievement as #1 Face Mask at Tiktok through our Matcha Glow.

But, we won't feel satisfied only with it. 

Developing new solutions for you, acne fighters is our main task from the first till the future.
Dorskin, from acne fighters for acne fighters.

CV.Dorskin Kreasi Indonesia

Dorskin

Research and identify key influencer across multiple digital platform (Instagram, TikTok, Youtube)

<ul>
	<li>Help to require KOL and ensure the ongoing KOL campaign run smoothly</li>
	<li>Help to manage administrative activities</li>
	<li>Manage the working agreement for each KOL</li>
	<li>Maintain communication and relationship with each account to execute the campaign.</li>
	<li>Improve program quality and ensure KOLs hit their targets in each activity.</li>
	<li>Track, care, evaluate, and make reports of the performance of KOLs</li>
</ul>

KOL Specialist

- Assisting lecturers in the teaching and research process according to the fields of each study programs

- Assist lecturers in delivering materials

- Prepare &amp; monitor the condition of animation facilities alongside with laboratories

- Assist the study program in implementing ongoing process

Instructor in Animation_Multimedia Nusantara Polytechnic

<ul>
	<li>Implementing the Tridharma of Higher Education which includes the learning process, research and community service</li>
	<li>Carry out various study program activities, both internal and external, in accordance with assignments from the Head of the Study Program</li>
</ul>

Lecturer in Informatics - Universitas Multimedia Nusantara

Lecturer in Film - Universitas Multimedia Nusantara

In this role, you will be responsible for identifying and engaging with potential corporate clients, understanding their needs, and offering tailored solutions that drive business growth. Your primary focus will be to achieve sales targets and contribute to the success of our organization.

Kalibrr Job Search

Data Scientist

Data Architect

Data Engineer II

Data Scientist

Data Scientist KG Media

Data Science Trainee

Data Engineer (DM)

Machine Learning Engineer (MLE)

Data Engineer (DE)

Software Engineer, Data

KOL Specialist

Instructor in Animation_Multimedia Nusantara Polytechnic

Lecturer in Informatics - Universitas Multimedia Nusantara

Lecturer in Film - Universitas Multimedia Nusantara

Corporate Sales | DQ Lab Universitas Multimedia Nusantara