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

LeapFroggr Inc. is a technology company that operates SeriousMD & NowServing. Together, SeriousMD & NowServing is a healthcare platform, whose sole mission is to "improve healthcare through technology."

Our company culture revolves around excellence, family and community, cooperation and sharing.

LeapFroggr Inc.

We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Data Visualization

Creative Thinking

Python

Machine Learning

Critical Thinking

Data Analysis

Senior Data Scientist

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)

Accenture is now the largest consulting services company in Indonesia, with a team of more than 1,000 people serving all aspects of the business. For more than 50 years, Accenture has been committed in providing practical point of views among others, on Technology Innovation, Digital Transformation, Industry X.0 and the Future Workforce. Join us in #PoweringtheNewIndonesia now!

Accenture

We are seeking a highly skilled and experienced AI Engineering Manager to lead our AI team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and software engineering, along with proven leadership abilities. This role involves overseeing the development and deployment of AI solutions, managing a team of engineers, and collaborating with cross-functional teams to drive innovation and achieve business goals.

Key Responsibilities:

<ul>
	<li>Lead and manage a team of AI engineers, providing mentorship, guidance, and performance evaluations.</li>
	<li>Oversee the design, development, and deployment of AI models and solutions.</li>
	<li>Collaborate with product managers, data scientists, and other stakeholders to define project requirements and deliverables.</li>
	<li>Ensure the scalability, reliability, and performance of AI systems.</li>
	<li>Stay up-to-date with the latest advancements in AI and machine learning technologies.</li>
	<li>Develop and implement best practices for AI development and deployment.</li>
	<li>Manage project timelines, resources, and budgets.</li>
	<li>Foster a culture of innovation, continuous learning, and improvement within the team.</li>
</ul>

AI Engineering Manager

<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>

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Data Scientist

Senior Data Scientist

Machine Learning Engineer (MLE)

AI Engineering Manager

Data Engineer (DE)